Action not permitted
Modal body text goes here.
Modal Title
Modal Body
CVE-2026-25087 (GCVE-0-2026-25087)
Vulnerability from cvelistv5 – Published: 2026-02-17 13:18 – Updated: 2026-02-20 09:56- CWE-416 - Use After Free
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Arrow |
Affected:
15.0.0 , ≤ 23.0.0
(semver)
Unaffected: 23.0.1 (semver) |
guessed |
{
"containers": {
"adp": [
{
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2026-25087",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-17T14:47:20.157749Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-02-17T14:48:48.265Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
},
{
"providerMetadata": {
"dateUpdated": "2026-02-17T18:17:44.990Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"url": "http://www.openwall.com/lists/oss-security/2026/02/17/4"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Apache Arrow",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "23.0.0",
"status": "affected",
"version": "15.0.0",
"versionType": "semver"
},
{
"status": "unaffected",
"version": "23.0.1",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "Emi Galle"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eUse After Free vulnerability in Apache Arrow C++.\u003c/p\u003e\u003cp\u003eThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u0026lt;Buffer\u0026gt;` object)\u0026nbsp;that is written to the dangling pointer is not under direct control of the attacker.\u003c/p\u003e\u003cp\u003ePre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\u003c/p\u003e\u003cp\u003eThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\u003c/p\u003e\u003cp\u003eAdvice for users of Arrow C++:\u003c/p\u003e\u003cp\u003e1. check whether you enable pre-buffering on the IPC file reader (using\u0026nbsp;`RecordBatchFileReader::PreBufferMetadata`)\u003c/p\u003e\u003cp\u003e2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable\u003c/p\u003e\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"
}
],
"value": "Use After Free vulnerability in Apache Arrow C++.\n\nThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u003cBuffer\u003e` object)\u00a0that is written to the dangling pointer is not under direct control of the attacker.\n\nPre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\n\nThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\n\nAdvice for users of Arrow C++:\n\n1. check whether you enable pre-buffering on the IPC file reader (using\u00a0`RecordBatchFileReader::PreBufferMetadata`)\n\n2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable"
}
],
"metrics": [
{
"other": {
"content": {
"text": "moderate"
},
"type": "Textual description of severity"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-416",
"description": "CWE-416 Use After Free",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-02-20T09:56:43.018Z",
"orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"shortName": "apache"
},
"references": [
{
"tags": [
"patch"
],
"url": "https://github.com/apache/arrow/pull/48925"
},
{
"tags": [
"vendor-advisory"
],
"url": "https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh"
}
],
"source": {
"discovery": "INTERNAL"
},
"title": "Apache Arrow: Potential use-after-free when reading IPC file with pre-buffering",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2026-25087",
"datePublished": "2026-02-17T13:18:25.494Z",
"dateReserved": "2026-01-29T09:18:06.955Z",
"dateUpdated": "2026-02-20T09:56:43.018Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-25087",
"date": "2026-08-31",
"epss": "0.00807",
"percentile": "0.543"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-25087\",\"sourceIdentifier\":\"security@apache.org\",\"published\":\"2026-02-17T14:16:01.947\",\"lastModified\":\"2026-06-17T10:24:05.973\",\"vulnStatus\":\"Analyzed\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Use After Free vulnerability in Apache Arrow C++.\\n\\nThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u003cBuffer\u003e` object)\u00a0that is written to the dangling pointer is not under direct control of the attacker.\\n\\nPre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\\n\\nThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\\n\\nAdvice for users of Arrow C++:\\n\\n1. check whether you enable pre-buffering on the IPC file reader (using\u00a0`RecordBatchFileReader::PreBufferMetadata`)\\n\\n2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable\"},{\"lang\":\"es\",\"value\":\"Vulnerabilidad Use After Free en Apache Arrow C++.\\n\\nEste problema afecta a Apache Arrow C++ desde la versi\u00f3n 15.0.0 hasta la 23.0.0. Puede activarse al leer un archivo Arrow IPC (pero no un flujo IPC) con el pre-buffer activado, si el archivo IPC contiene datos con buffers vari\u00e1dicos (como datos Binary View y String View). Dependiendo del n\u00famero de buffers vari\u00e1dicos en una columna de lote de registros y de la secuencia temporal de E/S multihilo, podr\u00eda producirse una escritura en un puntero colgante. El valor (un objeto \u0027std::shared_ptr\u0027) que se escribe en el puntero colgante no est\u00e1 bajo el control directo del atacante.\\n\\nEl pre-buffer est\u00e1 deshabilitado por defecto pero puede habilitarse usando una llamada a la API de C++ espec\u00edfica (\u0027RecordBatchFileReader::PreBufferMetadata\u0027). La funcionalidad no est\u00e1 expuesta en los enlaces de lenguaje (Python, Ruby, C GLib), por lo que estos enlaces no son vulnerables.\\n\\nLa consecuencia m\u00e1s probable de este problema ser\u00edan fallos aleatorios o corrupci\u00f3n de memoria al leer tipos espec\u00edficos de archivos IPC. Si la aplicaci\u00f3n permite la ingesta de archivos IPC de fuentes no confiables, esto podr\u00eda ser plausiblemente explotado para denegaci\u00f3n de servicio. Inducir tipos de comportamiento err\u00f3neo m\u00e1s espec\u00edficos (como la extracci\u00f3n de datos confidenciales del proceso en ejecuci\u00f3n) depende de la asignaci\u00f3n de memoria y de los patrones temporales de E/S multihilo que es poco probable que sean f\u00e1cilmente controlados por un atacante.\\n\\nConsejo para los usuarios de Arrow C++:\\n\\n1. verifique si habilita el pre-buffer en el lector de archivos IPC (usando \u0027RecordBatchFileReader::PreBufferMetadata\u0027)\\n\\n2. si es as\u00ed, deshabilite el pre-buffer (lo que puede tener consecuencias adversas en el rendimiento), o cambie a Arrow 23.0.1 que no es vulnerable\"}],\"affected\":[{\"source\":\"security@apache.org\",\"affectedData\":[{\"vendor\":\"Apache Software Foundation\",\"product\":\"Apache Arrow\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"15.0.0\",\"lessThanOrEqual\":\"23.0.0\",\"versionType\":\"semver\",\"status\":\"affected\"},{\"version\":\"23.0.1\",\"versionType\":\"semver\",\"status\":\"unaffected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H\",\"baseScore\":7.0,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.2,\"impactScore\":4.7}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2026-02-17T14:47:20.157749Z\",\"id\":\"CVE-2026-25087\",\"options\":[{\"exploitation\":\"none\"},{\"automatable\":\"no\"},{\"technicalImpact\":\"partial\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security@apache.org\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-416\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:apache:arrow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"15.0.0\",\"versionEndExcluding\":\"23.0.1\",\"matchCriteriaId\":\"E8AF4E4F-FF31-4DB2-A4F6-E74C99DE085B\"}]}]}],\"references\":[{\"url\":\"https://github.com/apache/arrow/pull/48925\",\"source\":\"security@apache.org\",\"tags\":[\"Issue Tracking\",\"Patch\"]},{\"url\":\"https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh\",\"source\":\"security@apache.org\",\"tags\":[\"Mailing List\",\"Vendor Advisory\"]},{\"url\":\"http://www.openwall.com/lists/oss-security/2026/02/17/4\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Mailing List\",\"Third Party Advisory\"]}]}}",
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-08-31T14:14:05+00:00",
"cve": "CVE-2026-25087",
"id": "CVE-2026-25087",
"initial_release_date": "2026-02-17T13:18:25.494000+00:00",
"product_status:fixed": "2",
"product_status:known_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "apache-arrow: Apache Arrow C++: Denial of Service via Use After Free vulnerability when reading IPC files",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-25087.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-02-19T00:25:49Z",
"cve": "CVE-2026-25087",
"id": "CVE-2026-25087",
"initial_release_date": "2026-02-19T00:25:49Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-25087",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-25087.json",
"version": "2"
},
"vulnrichment": {
"containers": "{\"adp\": [{\"title\": \"CVE Program Container\", \"references\": [{\"url\": \"http://www.openwall.com/lists/oss-security/2026/02/17/4\"}], \"providerMetadata\": {\"orgId\": \"af854a3a-2127-422b-91ae-364da2661108\", \"shortName\": \"CVE\", \"dateUpdated\": \"2026-02-17T18:17:44.990Z\"}}, {\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 7, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H\", \"integrityImpact\": \"LOW\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"HIGH\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"LOW\"}}, {\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-25087\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-02-17T14:47:20.157749Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2026-02-17T14:46:09.606Z\"}}], \"cna\": {\"title\": \"Apache Arrow: Potential use-after-free when reading IPC file with pre-buffering\", \"source\": {\"discovery\": \"INTERNAL\"}, \"credits\": [{\"lang\": \"en\", \"type\": \"reporter\", \"value\": \"Emi Galle\"}], \"metrics\": [{\"other\": {\"type\": \"Textual description of severity\", \"content\": {\"text\": \"moderate\"}}}], \"affected\": [{\"vendor\": \"Apache Software Foundation\", \"product\": \"Apache Arrow\", \"versions\": [{\"status\": \"affected\", \"version\": \"15.0.0\", \"versionType\": \"semver\", \"lessThanOrEqual\": \"23.0.0\"}, {\"status\": \"unaffected\", \"version\": \"23.0.1\", \"versionType\": \"semver\"}], \"defaultStatus\": \"unaffected\"}], \"references\": [{\"url\": \"https://github.com/apache/arrow/pull/48925\", \"tags\": [\"patch\"]}, {\"url\": \"https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh\", \"tags\": [\"vendor-advisory\"]}], \"x_generator\": {\"engine\": \"Vulnogram 0.2.0\"}, \"descriptions\": [{\"lang\": \"en\", \"value\": \"Use After Free vulnerability in Apache Arrow C++.\\n\\nThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u003cBuffer\u003e` object)\\u00a0that is written to the dangling pointer is not under direct control of the attacker.\\n\\nPre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\\n\\nThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\\n\\nAdvice for users of Arrow C++:\\n\\n1. check whether you enable pre-buffering on the IPC file reader (using\\u00a0`RecordBatchFileReader::PreBufferMetadata`)\\n\\n2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable\", \"supportingMedia\": [{\"type\": \"text/html\", \"value\": \"\u003cp\u003eUse After Free vulnerability in Apache Arrow C++.\u003c/p\u003e\u003cp\u003eThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u0026lt;Buffer\u0026gt;` object)\u0026nbsp;that is written to the dangling pointer is not under direct control of the attacker.\u003c/p\u003e\u003cp\u003ePre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\u003c/p\u003e\u003cp\u003eThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\u003c/p\u003e\u003cp\u003eAdvice for users of Arrow C++:\u003c/p\u003e\u003cp\u003e1. check whether you enable pre-buffering on the IPC file reader (using\u0026nbsp;`RecordBatchFileReader::PreBufferMetadata`)\u003c/p\u003e\u003cp\u003e2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable\u003c/p\u003e\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\", \"base64\": false}]}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-416\", \"description\": \"CWE-416 Use After Free\"}]}], \"providerMetadata\": {\"orgId\": \"f0158376-9dc2-43b6-827c-5f631a4d8d09\", \"shortName\": \"apache\", \"dateUpdated\": \"2026-02-20T09:56:43.018Z\"}}}",
"cveMetadata": "{\"cveId\": \"CVE-2026-25087\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-02-20T09:56:43.018Z\", \"dateReserved\": \"2026-01-29T09:18:06.955Z\", \"assignerOrgId\": \"f0158376-9dc2-43b6-827c-5f631a4d8d09\", \"datePublished\": \"2026-02-17T13:18:25.494Z\", \"assignerShortName\": \"apache\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
FKIE_CVE-2026-25087
Vulnerability from fkie_nvd - Published: 2026-02-17 14:16 - Updated: 2026-06-17 10:24| URL | Tags | ||
|---|---|---|---|
| security@apache.org | https://github.com/apache/arrow/pull/48925 | Issue Tracking, Patch | |
| security@apache.org | https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh | Mailing List, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.openwall.com/lists/oss-security/2026/02/17/4 | Mailing List, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Apache Arrow",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "23.0.0",
"status": "affected",
"version": "15.0.0",
"versionType": "semver"
},
{
"status": "unaffected",
"version": "23.0.1",
"versionType": "semver"
}
]
}
],
"source": "security@apache.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:arrow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "E8AF4E4F-FF31-4DB2-A4F6-E74C99DE085B",
"versionEndExcluding": "23.0.1",
"versionStartIncluding": "15.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Use After Free vulnerability in Apache Arrow C++.\n\nThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u003cBuffer\u003e` object)\u00a0that is written to the dangling pointer is not under direct control of the attacker.\n\nPre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\n\nThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\n\nAdvice for users of Arrow C++:\n\n1. check whether you enable pre-buffering on the IPC file reader (using\u00a0`RecordBatchFileReader::PreBufferMetadata`)\n\n2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable"
},
{
"lang": "es",
"value": "Vulnerabilidad Use After Free en Apache Arrow C++.\n\nEste problema afecta a Apache Arrow C++ desde la versi\u00f3n 15.0.0 hasta la 23.0.0. Puede activarse al leer un archivo Arrow IPC (pero no un flujo IPC) con el pre-buffer activado, si el archivo IPC contiene datos con buffers vari\u00e1dicos (como datos Binary View y String View). Dependiendo del n\u00famero de buffers vari\u00e1dicos en una columna de lote de registros y de la secuencia temporal de E/S multihilo, podr\u00eda producirse una escritura en un puntero colgante. El valor (un objeto \u0027std::shared_ptr\u0027) que se escribe en el puntero colgante no est\u00e1 bajo el control directo del atacante.\n\nEl pre-buffer est\u00e1 deshabilitado por defecto pero puede habilitarse usando una llamada a la API de C++ espec\u00edfica (\u0027RecordBatchFileReader::PreBufferMetadata\u0027). La funcionalidad no est\u00e1 expuesta en los enlaces de lenguaje (Python, Ruby, C GLib), por lo que estos enlaces no son vulnerables.\n\nLa consecuencia m\u00e1s probable de este problema ser\u00edan fallos aleatorios o corrupci\u00f3n de memoria al leer tipos espec\u00edficos de archivos IPC. Si la aplicaci\u00f3n permite la ingesta de archivos IPC de fuentes no confiables, esto podr\u00eda ser plausiblemente explotado para denegaci\u00f3n de servicio. Inducir tipos de comportamiento err\u00f3neo m\u00e1s espec\u00edficos (como la extracci\u00f3n de datos confidenciales del proceso en ejecuci\u00f3n) depende de la asignaci\u00f3n de memoria y de los patrones temporales de E/S multihilo que es poco probable que sean f\u00e1cilmente controlados por un atacante.\n\nConsejo para los usuarios de Arrow C++:\n\n1. verifique si habilita el pre-buffer en el lector de archivos IPC (usando \u0027RecordBatchFileReader::PreBufferMetadata\u0027)\n\n2. si es as\u00ed, deshabilite el pre-buffer (lo que puede tener consecuencias adversas en el rendimiento), o cambie a Arrow 23.0.1 que no es vulnerable"
}
],
"id": "CVE-2026-25087",
"lastModified": "2026-06-17T10:24:05.973",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.0,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 4.7,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-25087",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-17T14:47:20.157749Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-02-17T14:16:01.947",
"references": [
{
"source": "security@apache.org",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/apache/arrow/pull/48925"
},
{
"source": "security@apache.org",
"tags": [
"Mailing List",
"Vendor Advisory"
],
"url": "https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2026/02/17/4"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-416"
}
],
"source": "security@apache.org",
"type": "Secondary"
}
]
}
GHSA-RGXP-2HWP-JWGG
Vulnerability from github – Published: 2026-02-17 15:31 – Updated: 2026-06-05 21:39Use After Free vulnerability in Apache Arrow C++.
This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a std::shared_ptr<Buffer> object) that is written to the dangling pointer is not under direct control of the attacker.
Pre-buffering is disabled by default but can be enabled using a specific C++ API call (RecordBatchFileReader::PreBufferMetadata). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.
The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.
Advice for users of Arrow C++:
-
check whether you enable pre-buffering on the IPC file reader (using
RecordBatchFileReader::PreBufferMetadata) -
if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "pyarrow"
},
"ranges": [
{
"events": [
{
"introduced": "15.0.0"
},
{
"fixed": "23.0.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-25087"
],
"database_specific": {
"cwe_ids": [
"CWE-416"
],
"github_reviewed": true,
"github_reviewed_at": "2026-06-05T21:39:35Z",
"nvd_published_at": "2026-02-17T14:16:01Z",
"severity": "HIGH"
},
"details": "Use After Free vulnerability in Apache Arrow C++.\n\nThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u003cBuffer\u003e` object)\u00a0that is written to the dangling pointer is not under direct control of the attacker.\n\nPre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\n\nThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\n\nAdvice for users of Arrow C++:\n\n1. check whether you enable pre-buffering on the IPC file reader (using\u00a0`RecordBatchFileReader::PreBufferMetadata`)\n\n2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable",
"id": "GHSA-rgxp-2hwp-jwgg",
"modified": "2026-06-05T21:39:35Z",
"published": "2026-02-17T15:31:35Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-25087"
},
{
"type": "WEB",
"url": "https://github.com/apache/arrow/pull/48925"
},
{
"type": "PACKAGE",
"url": "https://github.com/apache/arrow"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pyarrow/PYSEC-2026-113.yaml"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/02/17/4"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "Apache Arrow: Potential use-after-free when reading IPC file with pre-buffering"
}
PYSEC-2026-113
Vulnerability from pysec - Published: 2026-02-17 14:16 - Updated: 2026-05-20 09:19Use After Free vulnerability in Apache Arrow C++.
This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a std::shared_ptr<Buffer> object) that is written to the dangling pointer is not under direct control of the attacker.
Pre-buffering is disabled by default but can be enabled using a specific C++ API call (RecordBatchFileReader::PreBufferMetadata). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.
The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.
Advice for users of Arrow C++:
-
check whether you enable pre-buffering on the IPC file reader (using
RecordBatchFileReader::PreBufferMetadata) -
if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable
| Name | purl | pyarrow | pkg:pypi/pyarrow |
|---|
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "pyarrow",
"purl": "pkg:pypi/pyarrow"
},
"ranges": [
{
"events": [
{
"introduced": "15.0.0"
},
{
"fixed": "23.0.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"15.0.0",
"15.0.1",
"15.0.2",
"16.0.0",
"16.1.0",
"17.0.0",
"18.0.0",
"18.1.0",
"19.0.0",
"19.0.1",
"20.0.0",
"21.0.0",
"22.0.0",
"23.0.0"
]
}
],
"aliases": [
"CVE-2026-25087",
"GHSA-rgxp-2hwp-jwgg"
],
"details": "Use After Free vulnerability in Apache Arrow C++.\n\nThis issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr\u003cBuffer\u003e` object)\u00a0that is written to the dangling pointer is not under direct control of the attacker.\n\nPre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.\n\nThe most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.\n\nAdvice for users of Arrow C++:\n\n1. check whether you enable pre-buffering on the IPC file reader (using\u00a0`RecordBatchFileReader::PreBufferMetadata`)\n \n2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable",
"id": "PYSEC-2026-113",
"modified": "2026-05-20T09:19:11.989919Z",
"published": "2026-02-17T14:16:01.947Z",
"references": [
{
"type": "ADVISORY",
"url": "http://www.openwall.com/lists/oss-security/2026/02/17/4"
},
{
"type": "ADVISORY",
"url": "https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh"
},
{
"type": "FIX",
"url": "https://github.com/apache/arrow/pull/48925"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-rgxp-2hwp-jwgg"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H",
"type": "CVSS_V3"
}
]
}
RHSA-2026:61628
Vulnerability from csaf_redhat - Published: 2026-08-31 13:41 - Updated: 2026-08-31 16:20A flaw was found in runc. This attack is a more sophisticated variant of CVE-2019-16884, which was a flaw that allowed an attacker to trick runc into writing the LSM process labels for a container process into a dummy tmpfs file and thus not apply the correct LSM labels to the container process. The mitigation applied for CVE-2019-16884 was fairly limited and effectively only caused runc to verify that when we write LSM labels that those labels are actual procfs files.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in urllib3 Python library that could lead to a Denial of Service condition. A remote, malicious server can exploit this flaw by responding to a client request with an HTTP message that uses an excessive number of chained compression algorithms. This unlimited decompression chain causes the client system to consume a virtually unbounded amount of CPU resources and memory. The high resource usage leads to service disruption, making the application unresponsive.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A decompression handling flaw has been discovered in urllib3. When streaming a compressed response, urllib3 can perform decoding or decompression based on the HTTP Content-Encoding header (e.g., gzip, deflate, br, or zstd). The library must read compressed data from the network and decompress it until the requested chunk size is met. Any resulting decompressed data that exceeds the requested amount is held in an internal buffer for the next read operation. The decompression logic could cause urllib3 to fully decode a small amount of highly compressed data in a single operation. This can result in excessive resource consumption (high CPU usage and massive memory allocation for the decompressed data; CWE-409) on the client side, even if the application only requested a small chunk of data.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A decompression based denial of service flaw has been discovered in the AIOHTTP python library. Library versions 3.13.2 and below allow a zip bomb to be used to execute a DoS against the AIOHTTP server. An attacker may be able to send a compressed request that when decompressed by AIOHTTP could exhaust the host's memory.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in SQLite's FTS5 full-text search extension. This vulnerability involves memory corruption, specifically an out-of-bounds read and a heap buffer overflow, which can be triggered by supplying a crafted database with malformed FTS5 page data. When an FTS5 MATCH query is executed against such a database, an attacker can cause process crashes, memory exhaustion, or achieve arbitrary code execution, potentially compromising the system.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in SQLite, specifically within its FTS5 full-text search extension. Attackers can exploit a heap-based buffer overflow by providing a specially crafted database. This crafted database contains malicious metadata that triggers an integer underflow during FTS5 MATCH query processing. Successful exploitation of this vulnerability can lead to a crash of the application or allow for arbitrary code execution.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
urllib3 is an HTTP client library for Python. urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. urllib3 can perform decoding or decompression based on the HTTP `Content-Encoding` header (e.g., `gzip`, `deflate`, `br`, or `zstd`). When using the streaming API, the library decompresses only the necessary bytes, enabling partial content consumption. Starting in version 1.22 and prior to version 2.6.3, for HTTP redirect responses, the library would read the entire response body to drain the connection and decompress the content unnecessarily. This decompression occurred even before any read methods were called, and configured read limits did not restrict the amount of decompressed data. As a result, there was no safeguard against decompression bombs. A malicious server could exploit this to trigger excessive resource consumption on the client. Applications and libraries are affected when they stream content from untrusted sources by setting `preload_content=False` when they do not disable redirects. Users should upgrade to at least urllib3 v2.6.3, in which the library does not decode content of redirect responses when `preload_content=False`. If upgrading is not immediately possible, disable redirects by setting `redirect=False` for requests to untrusted source.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
|
A path traversal flaw has been discovered in the python wheel too. The unpack function is vulnerable to file permission modification through mishandling of file permissions after extraction. The logic blindly trusts the filename from the archive header for the chmod operation, even though the extraction process itself might have sanitized the path. Attackers can craft a malicious wheel file that, when unpacked, changes the permissions of critical system files (e.g., /etc/passwd, SSH keys, config files), allowing for Privilege Escalation or arbitrary code execution by modifying now-writable scripts.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A use after free flaw was found in Apache Arrow C++. This Use After Free vulnerability can be triggered when an application reads a specially crafted Arrow IPC (Inter-Process Communication) file with pre-buffering enabled, leading to memory corruption or application crashes. This could plausibly result in a Denial of Service (DoS) condition for the affected application.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in python-dotenv. A local attacker can exploit this by crafting a symbolic link, which the `set_key()` and `unset_key()` functions in python-dotenv follow when rewriting `.env` files. This can lead to the overwriting of arbitrary files on the system.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Pillow, a Python imaging library. This vulnerability allows a remote attacker to trigger a denial of service (DoS) by providing a specially crafted FITS image file. The library's failure to limit the amount of GZIP-compressed data during decoding can lead to unbounded memory consumption, causing the system to crash or experience severe performance issues.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Pillow, a Python imaging library. An attacker could exploit this vulnerability by tricking a user into processing a specially crafted malicious PSD file. This could lead to memory corruption, potentially causing the application to crash or allowing for arbitrary code execution.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Apache Thrift. This vulnerability, categorized as improper handling of highly compressed data (also known as data amplification), allows a remote attacker to cause a Denial of Service (DoS) by sending specially crafted, highly compressed data. The affected component fails to properly manage the expansion of this data, leading to resource exhaustion and system unavailability.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
|
A flaw was found in Pillow, a Python imaging library. When processing a specially crafted font file, the library's font compilation function does not adequately check for excessive memory allocation. This oversight allows a remote attacker to trigger an unreasonable consumption of system memory, leading to a denial of service (DoS) for the application.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
|
A flaw was found in Pillow, a Python imaging library. This vulnerability allows a remote attacker to cause a Denial of Service (DoS) by providing a specially crafted BDF font file. The library's image processing function fails to properly validate dimensions from the font file, bypassing a critical security check designed to prevent excessive memory usage. This oversight can lead to the system consuming an unreasonable amount of memory, making it unavailable to legitimate users.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit this vulnerability by providing a specially crafted GD 2.x image file. The GdImageFile._open() function reads image dimensions without proper validation, leading to excessive memory allocation. This can result in a Denial of Service (DoS) due to C-heap exhaustion.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Apache Thrift's C++, c_glib, Go, netstd, Delphi, and Haxe bindings. This integer overflow or wraparound vulnerability allows a remote attacker to cause a denial of service (DoS) by sending specially crafted input. The flaw can lead to the affected service becoming unavailable.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder's Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
An arbitrary address write vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A heap-buffer-overflow read vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows setting a spatial_layer_id exceeding the configured number of layers. This causes an out-of-bounds heap read of approximately 40,728 bytes when computing a layer context array index. An attacker who can influence SVC encoder parameters in a network-facing service could exploit this for information disclosure (heap content leak) or denial of service (segmentation fault from hitting unmapped memory).
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder's SVC (Scalable Video Coding) layer ID control allows an attacker to supply crafted video frame pixels that overlap with internal encoder layer context structures. In fork-based video processing services, an attacker can use this to hijack the cyclic refresh map pointer, brute-force the process base address via a crash oracle, and redirect control flow to achieve arbitrary command execution. Exploitation requires the target service to use libaom with SVC encoding enabled and accept attacker-supplied video frames.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in FFmpeg's RASC video decoder. A remote attacker could exploit this by providing a crafted media stream using the RASC FourCC (Four Character Code), which is then decoded by libavcodec. This vulnerability triggers a bitstream-controlled out-of-bounds heap write and an adjacent out-of-bounds read, leading to memory corruption. This can result in a denial of service or potentially arbitrary code execution.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit this vulnerability by providing a specially crafted JPEG2000 image file. Due to incorrect calculation of memory requirements for image tiles, processing this file can lead to excessive memory consumption, resulting in a denial of service (DoS) through out-of-memory failures.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in Pillow, a Python imaging library. This vulnerability allows an attacker to trigger controlled native heap corruption by supplying an output image whose mode does not match the transform's declared output mode when using the ImageCms.ImageCmsTransform.apply API. This can lead to a denial of service (DoS) condition, making the affected system or application unavailable.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in FFmpeg, a widely used multimedia framework. This vulnerability, a heap buffer overflow in the VobSub subtitle demuxer, allows a remote attacker to corrupt memory. By providing a specially crafted subtitle file, an attacker can trigger unbounded writes, which could lead to arbitrary code execution in applications that use FFmpeg's VobSub demuxer. This could allow an attacker to take control of the affected system.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
Workaround
|
A flaw was found in FFmpeg. A remote attacker could exploit an out-of-bounds memory access vulnerability in the ADX audio decoder by supplying a specially crafted ADX or AAX audio file. This could lead to the attacker triggering both out-of-bounds reads and writes, potentially resulting in arbitrary code execution, information disclosure, or denial of service.
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 | — |
Vendor Fix
fix
|
|
| Unresolved product id: Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 | — |
Vendor Fix
fix
|
{
"document": {
"aggregate_severity": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"text": "Important"
},
"category": "csaf_security_advisory",
"csaf_version": "2.0",
"distribution": {
"text": "Copyright \u00a9 Red Hat, Inc. All rights reserved.",
"tlp": {
"label": "WHITE",
"url": "https://www.first.org/tlp/"
}
},
"lang": "en",
"notes": [
{
"category": "summary",
"text": "Red Hat AI Inference Server Model Optimization Tools 3.2.2 (CUDA) is now available.",
"title": "Topic"
},
{
"category": "general",
"text": "Red Hat\u00ae AI Inference Server Model Optimization Tools",
"title": "Details"
},
{
"category": "legal_disclaimer",
"text": "This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.",
"title": "Terms of Use"
}
],
"publisher": {
"category": "vendor",
"contact_details": "https://access.redhat.com/security/team/contact/",
"issuing_authority": "Red Hat Product Security is responsible for vulnerability handling across all Red Hat products and services.",
"name": "Red Hat Product Security",
"namespace": "https://www.redhat.com"
},
"references": [
{
"category": "self",
"summary": "https://access.redhat.com/errata/RHSA-2026:61628",
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2025-52881",
"url": "https://access.redhat.com/security/cve/CVE-2025-52881"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2025-66418",
"url": "https://access.redhat.com/security/cve/CVE-2025-66418"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2025-66471",
"url": "https://access.redhat.com/security/cve/CVE-2025-66471"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2025-69223",
"url": "https://access.redhat.com/security/cve/CVE-2025-69223"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-11822",
"url": "https://access.redhat.com/security/cve/CVE-2026-11822"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-11824",
"url": "https://access.redhat.com/security/cve/CVE-2026-11824"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-21441",
"url": "https://access.redhat.com/security/cve/CVE-2026-21441"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-24049",
"url": "https://access.redhat.com/security/cve/CVE-2026-24049"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-25087",
"url": "https://access.redhat.com/security/cve/CVE-2026-25087"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-28684",
"url": "https://access.redhat.com/security/cve/CVE-2026-28684"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-40192",
"url": "https://access.redhat.com/security/cve/CVE-2026-40192"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-42311",
"url": "https://access.redhat.com/security/cve/CVE-2026-42311"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-48586",
"url": "https://access.redhat.com/security/cve/CVE-2026-48586"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-54060",
"url": "https://access.redhat.com/security/cve/CVE-2026-54060"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-55379",
"url": "https://access.redhat.com/security/cve/CVE-2026-55379"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-55380",
"url": "https://access.redhat.com/security/cve/CVE-2026-55380"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-55969",
"url": "https://access.redhat.com/security/cve/CVE-2026-55969"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-56208",
"url": "https://access.redhat.com/security/cve/CVE-2026-56208"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-56209",
"url": "https://access.redhat.com/security/cve/CVE-2026-56209"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-56210",
"url": "https://access.redhat.com/security/cve/CVE-2026-56210"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-56211",
"url": "https://access.redhat.com/security/cve/CVE-2026-56211"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-58049",
"url": "https://access.redhat.com/security/cve/CVE-2026-58049"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-59204",
"url": "https://access.redhat.com/security/cve/CVE-2026-59204"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-59205",
"url": "https://access.redhat.com/security/cve/CVE-2026-59205"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-64830",
"url": "https://access.redhat.com/security/cve/CVE-2026-64830"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/cve/CVE-2026-64835",
"url": "https://access.redhat.com/security/cve/CVE-2026-64835"
},
{
"category": "external",
"summary": "https://access.redhat.com/security/updates/classification/",
"url": "https://access.redhat.com/security/updates/classification/"
},
{
"category": "external",
"summary": "https://www.redhat.com/en/products/ai/inference-server",
"url": "https://www.redhat.com/en/products/ai/inference-server"
},
{
"category": "self",
"summary": "Canonical URL",
"url": "https://security.access.redhat.com/data/csaf/v2/advisories/2026/rhsa-2026_61628.json"
}
],
"title": "Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.2.2 (CUDA)",
"tracking": {
"current_release_date": "2026-08-31T16:20:16+00:00",
"generator": {
"date": "2026-08-31T16:20:16+00:00",
"engine": {
"name": "Red Hat SDEngine",
"version": "5.3.16"
}
},
"id": "RHSA-2026:61628",
"initial_release_date": "2026-08-31T13:41:15+00:00",
"revision_history": [
{
"date": "2026-08-31T13:41:15+00:00",
"number": "1",
"summary": "Initial version"
},
{
"date": "2026-08-31T13:41:33+00:00",
"number": "2",
"summary": "Last updated version"
},
{
"date": "2026-08-31T16:20:16+00:00",
"number": "3",
"summary": "Last generated version"
}
],
"status": "final",
"version": "3"
}
},
"product_tree": {
"branches": [
{
"branches": [
{
"branches": [
{
"category": "product_name",
"name": "Red Hat AI Inference Server 3.2",
"product": {
"name": "Red Hat AI Inference Server 3.2",
"product_id": "Red Hat AI Inference Server 3.2",
"product_identification_helper": {
"cpe": "cpe:/a:redhat:ai_inference_server:3.2::el9"
}
}
}
],
"category": "product_family",
"name": "Red Hat AI Inference Server"
},
{
"branches": [
{
"category": "product_version",
"name": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64",
"product": {
"name": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64",
"product_id": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64",
"product_identification_helper": {
"purl": "pkg:oci/model-opt-cuda-rhel9@sha256%3Ac17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f?arch=amd64\u0026repository_url=registry.redhat.io/rhaiis/model-opt-cuda-rhel9\u0026tag=1787772157"
}
}
}
],
"category": "architecture",
"name": "amd64"
},
{
"branches": [
{
"category": "product_version",
"name": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"product": {
"name": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"product_id": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"product_identification_helper": {
"purl": "pkg:oci/model-opt-cuda-rhel9@sha256%3A7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed?arch=arm64\u0026repository_url=registry.redhat.io/rhaiis/model-opt-cuda-rhel9\u0026tag=1787772157"
}
}
}
],
"category": "architecture",
"name": "arm64"
}
],
"category": "vendor",
"name": "Red Hat"
}
],
"relationships": [
{
"category": "default_component_of",
"full_product_name": {
"name": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 as a component of Red Hat AI Inference Server 3.2",
"product_id": "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64"
},
"product_reference": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"relates_to_product_reference": "Red Hat AI Inference Server 3.2"
},
{
"category": "default_component_of",
"full_product_name": {
"name": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 as a component of Red Hat AI Inference Server 3.2",
"product_id": "Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
},
"product_reference": "registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64",
"relates_to_product_reference": "Red Hat AI Inference Server 3.2"
}
]
},
"vulnerabilities": [
{
"cve": "CVE-2025-52881",
"cwe": {
"id": "CWE-59",
"name": "Improper Link Resolution Before File Access (\u0027Link Following\u0027)"
},
"discovery_date": "2025-10-17T14:19:18.652000+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2404715"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in runc. This attack is a more sophisticated variant of CVE-2019-16884, which was a flaw that allowed an attacker to trick runc into writing the LSM process labels for a container process into a dummy tmpfs file and thus not apply the correct LSM labels to the container process. The mitigation applied for CVE-2019-16884 was fairly limited and effectively only caused runc to verify that when we write LSM labels that those labels are actual procfs files.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "runc: opencontainers/selinux: container escape and denial of service due to arbitrary write gadgets and procfs write redirects",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "Red Hat considers this as an Important flaw since the impact is limited to local attack with minimal privileges in order to jeopardize the environment.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2025-52881"
},
{
"category": "external",
"summary": "RHBZ#2404715",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2404715"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2025-52881",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-52881"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2025-52881",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-52881"
},
{
"category": "external",
"summary": "https://github.com/opencontainers/runc/security/advisories/GHSA-cgrx-mc8f-2prm",
"url": "https://github.com/opencontainers/runc/security/advisories/GHSA-cgrx-mc8f-2prm"
},
{
"category": "external",
"summary": "https://github.com/opencontainers/selinux/pull/237",
"url": "https://github.com/opencontainers/selinux/pull/237"
}
],
"release_date": "2025-11-05T09:00:00+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Potential mitigations for this issue include:\n\n* Using rootless containers, as doing so will block most of the inadvertent writes (runc would run with reduced privileges, making attempts to write to procfs files ineffective).\n* Based on our analysis, neither AppArmor or SELinux can protect against the full version of the redirected write attack. The container runtime is generally privileged enough to write to arbitrary procfs files, which is more than sufficient to cause a container breakout.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "runc: opencontainers/selinux: container escape and denial of service due to arbitrary write gadgets and procfs write redirects"
},
{
"cve": "CVE-2025-66418",
"cwe": {
"id": "CWE-770",
"name": "Allocation of Resources Without Limits or Throttling"
},
"discovery_date": "2025-12-05T17:01:20.277857+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2419455"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in urllib3 Python library that could lead to a Denial of Service condition. A remote, malicious server can exploit this flaw by responding to a client request with an HTTP message that uses an excessive number of chained compression algorithms. This unlimited decompression chain causes the client system to consume a virtually unbounded amount of CPU resources and memory. The high resource usage leads to service disruption, making the application unresponsive.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "urllib3: urllib3: Unbounded decompression chain leads to resource exhaustion",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This Important impact denial of service vulnerability in the urllib3 HTTP client library allows uncontrolled memory consumption when decompressing highly compressed HTTP responses. Due to the lack of an overall decompression size limit in the Streaming API, a malicious server can exhaust client memory, leading to a denial of service.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2025-66418"
},
{
"category": "external",
"summary": "RHBZ#2419455",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2419455"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2025-66418",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-66418"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2025-66418",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-66418"
},
{
"category": "external",
"summary": "https://github.com/urllib3/urllib3/commit/24d7b67eac89f94e11003424bcf0d8f7b72222a8",
"url": "https://github.com/urllib3/urllib3/commit/24d7b67eac89f94e11003424bcf0d8f7b72222a8"
},
{
"category": "external",
"summary": "https://github.com/urllib3/urllib3/security/advisories/GHSA-gm62-xv2j-4w53",
"url": "https://github.com/urllib3/urllib3/security/advisories/GHSA-gm62-xv2j-4w53"
}
],
"release_date": "2025-12-05T16:02:15.271000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "urllib3: urllib3: Unbounded decompression chain leads to resource exhaustion"
},
{
"cve": "CVE-2025-66471",
"cwe": {
"id": "CWE-409",
"name": "Improper Handling of Highly Compressed Data (Data Amplification)"
},
"discovery_date": "2025-12-05T17:02:21.597728+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2419467"
}
],
"notes": [
{
"category": "description",
"text": "A decompression handling flaw has been discovered in urllib3. When streaming a compressed response, urllib3 can perform decoding or decompression based on the HTTP Content-Encoding header (e.g., gzip, deflate, br, or zstd). The library must read compressed data from the network and decompress it until the requested chunk size is met. Any resulting decompressed data that exceeds the requested amount is held in an internal buffer for the next read operation. The decompression logic could cause urllib3 to fully decode a small amount of highly compressed data in a single operation. This can result in excessive resource consumption (high CPU usage and massive memory allocation for the decompressed data; CWE-409) on the client side, even if the application only requested a small chunk of data.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "urllib3: urllib3 Streaming API improperly handles highly compressed data",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This is an Important flaw in urllib3\u0027s streaming API that can lead to excessive resource consumption, including high CPU usage and significant memory allocation. When processing highly compressed data from untrusted sources, even small requested chunks can trigger full decompression, posing a denial-of-service risk to client-side applications utilizing affected urllib3 versions prior to 2.6.0.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2025-66471"
},
{
"category": "external",
"summary": "RHBZ#2419467",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2419467"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2025-66471",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-66471"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2025-66471",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-66471"
},
{
"category": "external",
"summary": "https://github.com/urllib3/urllib3/commit/c19571de34c47de3a766541b041637ba5f716ed7",
"url": "https://github.com/urllib3/urllib3/commit/c19571de34c47de3a766541b041637ba5f716ed7"
},
{
"category": "external",
"summary": "https://github.com/urllib3/urllib3/security/advisories/GHSA-2xpw-w6gg-jr37",
"url": "https://github.com/urllib3/urllib3/security/advisories/GHSA-2xpw-w6gg-jr37"
}
],
"release_date": "2025-12-05T16:06:08.531000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "urllib3: urllib3 Streaming API improperly handles highly compressed data"
},
{
"cve": "CVE-2025-69223",
"cwe": {
"id": "CWE-770",
"name": "Allocation of Resources Without Limits or Throttling"
},
"discovery_date": "2026-01-06T20:01:19.831548+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2427456"
}
],
"notes": [
{
"category": "description",
"text": "A decompression based denial of service flaw has been discovered in the AIOHTTP python library. Library versions 3.13.2 and below allow a zip bomb to be used to execute a DoS against the AIOHTTP server. An attacker may be able to send a compressed request that when decompressed by AIOHTTP could exhaust the host\u0027s memory.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "aiohttp: AIOHTTP\u0027s HTTP Parser auto_decompress feature is vulnerable to zip bomb",
"title": "Vulnerability summary"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2025-69223"
},
{
"category": "external",
"summary": "RHBZ#2427456",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2427456"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2025-69223",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-69223"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2025-69223",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-69223"
},
{
"category": "external",
"summary": "https://github.com/aio-libs/aiohttp/commit/2b920c39002cee0ec5b402581779bbaaf7c9138a",
"url": "https://github.com/aio-libs/aiohttp/commit/2b920c39002cee0ec5b402581779bbaaf7c9138a"
},
{
"category": "external",
"summary": "https://github.com/aio-libs/aiohttp/security/advisories/GHSA-6mq8-rvhq-8wgg",
"url": "https://github.com/aio-libs/aiohttp/security/advisories/GHSA-6mq8-rvhq-8wgg"
}
],
"release_date": "2026-01-05T22:00:17.715000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "aiohttp: AIOHTTP\u0027s HTTP Parser auto_decompress feature is vulnerable to zip bomb"
},
{
"cve": "CVE-2026-11822",
"cwe": {
"id": "CWE-125",
"name": "Out-of-bounds Read"
},
"discovery_date": "2026-06-09T20:01:15.006955+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2487258"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in SQLite\u0027s FTS5 full-text search extension. This vulnerability involves memory corruption, specifically an out-of-bounds read and a heap buffer overflow, which can be triggered by supplying a crafted database with malformed FTS5 page data. When an FTS5 MATCH query is executed against such a database, an attacker can cause process crashes, memory exhaustion, or achieve arbitrary code execution, potentially compromising the system.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "sqlite: SQLite: Arbitrary code execution via crafted FTS5 full-text search data",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "Important: This flaw in the SQLite FTS5 full-text search extension can lead to arbitrary code execution or denial of service. Exploitation requires an application to process a specially crafted SQLite database containing malformed FTS5 page data, which could occur if an attacker provides a malicious database to a vulnerable application. This risk is elevated in scenarios where applications handle untrusted SQLite database files.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-11822"
},
{
"category": "external",
"summary": "RHBZ#2487258",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2487258"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-11822",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-11822"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-11822",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11822"
},
{
"category": "external",
"summary": "https://sqlite.org/releaselog/3_53_2.html",
"url": "https://sqlite.org/releaselog/3_53_2.html"
},
{
"category": "external",
"summary": "https://sqlite.org/src/info/061febcf41ca",
"url": "https://sqlite.org/src/info/061febcf41ca"
},
{
"category": "external",
"summary": "https://sqlite.org/src/info/4a5ad516ea93",
"url": "https://sqlite.org/src/info/4a5ad516ea93"
},
{
"category": "external",
"summary": "https://www.vulncheck.com/advisories/sqlite-before-memory-corruption-in-fts5-extension",
"url": "https://www.vulncheck.com/advisories/sqlite-before-memory-corruption-in-fts5-extension"
}
],
"release_date": "2026-06-09T19:08:31.019000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "sqlite: SQLite: Arbitrary code execution via crafted FTS5 full-text search data"
},
{
"cve": "CVE-2026-11824",
"cwe": {
"id": "CWE-191",
"name": "Integer Underflow (Wrap or Wraparound)"
},
"discovery_date": "2026-06-09T20:02:19.874232+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2487269"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in SQLite, specifically within its FTS5 full-text search extension. Attackers can exploit a heap-based buffer overflow by providing a specially crafted database. This crafted database contains malicious metadata that triggers an integer underflow during FTS5 MATCH query processing. Successful exploitation of this vulnerability can lead to a crash of the application or allow for arbitrary code execution.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "sqlite: SQLite: Arbitrary code execution and crash via heap-based buffer overflow in FTS5",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This Important vulnerability in SQLite\u0027s FTS5 full-text search extension can lead to arbitrary code execution or application crashes due to a heap-based buffer overflow. Exploitation requires an attacker to provide a specially crafted SQLite database, which must then be processed by an application compiled with FTS5 support. While requiring user interaction and local access, the potential for full impact on system resources justifies the Important severity.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-11824"
},
{
"category": "external",
"summary": "RHBZ#2487269",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2487269"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-11824",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-11824"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-11824",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11824"
},
{
"category": "external",
"summary": "https://sqlite.org/releaselog/3_53_2.html",
"url": "https://sqlite.org/releaselog/3_53_2.html"
},
{
"category": "external",
"summary": "https://sqlite.org/src/info/061febcf41ca",
"url": "https://sqlite.org/src/info/061febcf41ca"
},
{
"category": "external",
"summary": "https://sqlite.org/src/info/4a5ad516ea93",
"url": "https://sqlite.org/src/info/4a5ad516ea93"
},
{
"category": "external",
"summary": "https://www.vulncheck.com/advisories/sqlite-before-heap-buffer-overflow-via-fts5-fts5chunkiterate",
"url": "https://www.vulncheck.com/advisories/sqlite-before-heap-buffer-overflow-via-fts5-fts5chunkiterate"
}
],
"release_date": "2026-06-09T19:21:42.603000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "sqlite: SQLite: Arbitrary code execution and crash via heap-based buffer overflow in FTS5"
},
{
"cve": "CVE-2026-21441",
"cwe": {
"id": "CWE-409",
"name": "Improper Handling of Highly Compressed Data (Data Amplification)"
},
"discovery_date": "2026-01-07T23:01:59.422078+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2427726"
}
],
"notes": [
{
"category": "description",
"text": "urllib3 is an HTTP client library for Python. urllib3\u0027s streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. urllib3 can perform decoding or decompression based on the HTTP `Content-Encoding` header (e.g., `gzip`, `deflate`, `br`, or `zstd`). When using the streaming API, the library decompresses only the necessary bytes, enabling partial content consumption. Starting in version 1.22 and prior to version 2.6.3, for HTTP redirect responses, the library would read the entire response body to drain the connection and decompress the content unnecessarily. This decompression occurred even before any read methods were called, and configured read limits did not restrict the amount of decompressed data. As a result, there was no safeguard against decompression bombs. A malicious server could exploit this to trigger excessive resource consumption on the client. Applications and libraries are affected when they stream content from untrusted sources by setting `preload_content=False` when they do not disable redirects. Users should upgrade to at least urllib3 v2.6.3, in which the library does not decode content of redirect responses when `preload_content=False`. If upgrading is not immediately possible, disable redirects by setting `redirect=False` for requests to untrusted source.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "urllib3: urllib3 vulnerable to decompression-bomb safeguard bypass when following HTTP redirects (streaming API)",
"title": "Vulnerability summary"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-21441"
},
{
"category": "external",
"summary": "RHBZ#2427726",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2427726"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-21441",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-21441"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-21441",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-21441"
},
{
"category": "external",
"summary": "https://github.com/urllib3/urllib3/commit/8864ac407bba8607950025e0979c4c69bc7abc7b",
"url": "https://github.com/urllib3/urllib3/commit/8864ac407bba8607950025e0979c4c69bc7abc7b"
},
{
"category": "external",
"summary": "https://github.com/urllib3/urllib3/security/advisories/GHSA-38jv-5279-wg99",
"url": "https://github.com/urllib3/urllib3/security/advisories/GHSA-38jv-5279-wg99"
}
],
"release_date": "2026-01-07T22:09:01.936000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "urllib3: urllib3 vulnerable to decompression-bomb safeguard bypass when following HTTP redirects (streaming API)"
},
{
"cve": "CVE-2026-24049",
"cwe": {
"id": "CWE-22",
"name": "Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)"
},
"discovery_date": "2026-01-22T05:00:54.709179+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2431959"
}
],
"notes": [
{
"category": "description",
"text": "A path traversal flaw has been discovered in the python wheel too. The unpack function is vulnerable to file permission modification through mishandling of file permissions after extraction. The logic blindly trusts the filename from the archive header for the chmod operation, even though the extraction process itself might have sanitized the path. Attackers can craft a malicious wheel file that, when unpacked, changes the permissions of critical system files (e.g., /etc/passwd, SSH keys, config files), allowing for Privilege Escalation or arbitrary code execution by modifying now-writable scripts.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "wheel: wheel: Privilege Escalation or Arbitrary Code Execution via malicious wheel file unpacking",
"title": "Vulnerability summary"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-24049"
},
{
"category": "external",
"summary": "RHBZ#2431959",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2431959"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-24049",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-24049"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-24049",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24049"
},
{
"category": "external",
"summary": "https://github.com/pypa/wheel/commit/7a7d2de96b22a9adf9208afcc9547e1001569fef",
"url": "https://github.com/pypa/wheel/commit/7a7d2de96b22a9adf9208afcc9547e1001569fef"
},
{
"category": "external",
"summary": "https://github.com/pypa/wheel/releases/tag/0.46.2",
"url": "https://github.com/pypa/wheel/releases/tag/0.46.2"
},
{
"category": "external",
"summary": "https://github.com/pypa/wheel/security/advisories/GHSA-8rrh-rw8j-w5fx",
"url": "https://github.com/pypa/wheel/security/advisories/GHSA-8rrh-rw8j-w5fx"
}
],
"release_date": "2026-01-22T04:02:08.706000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "wheel: wheel: Privilege Escalation or Arbitrary Code Execution via malicious wheel file unpacking"
},
{
"cve": "CVE-2026-25087",
"cwe": {
"id": "CWE-825",
"name": "Expired Pointer Dereference"
},
"discovery_date": "2026-02-17T14:01:06.653417+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2440366"
}
],
"notes": [
{
"category": "description",
"text": "A use after free flaw was found in Apache Arrow C++. This Use After Free vulnerability can be triggered when an application reads a specially crafted Arrow IPC (Inter-Process Communication) file with pre-buffering enabled, leading to memory corruption or application crashes. This could plausibly result in a Denial of Service (DoS) condition for the affected application.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "apache-arrow: Apache Arrow C++: Denial of Service via Use After Free vulnerability when reading IPC files",
"title": "Vulnerability summary"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-25087"
},
{
"category": "external",
"summary": "RHBZ#2440366",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2440366"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-25087",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-25087"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-25087",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-25087"
},
{
"category": "external",
"summary": "https://github.com/apache/arrow/pull/48925",
"url": "https://github.com/apache/arrow/pull/48925"
},
{
"category": "external",
"summary": "https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh",
"url": "https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh"
}
],
"release_date": "2026-02-17T13:18:25.494000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Moderate"
}
],
"title": "apache-arrow: Apache Arrow C++: Denial of Service via Use After Free vulnerability when reading IPC files"
},
{
"cve": "CVE-2026-28684",
"cwe": {
"id": "CWE-59",
"name": "Improper Link Resolution Before File Access (\u0027Link Following\u0027)"
},
"discovery_date": "2026-04-20T17:02:18.205732+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2459798"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in python-dotenv. A local attacker can exploit this by crafting a symbolic link, which the `set_key()` and `unset_key()` functions in python-dotenv follow when rewriting `.env` files. This can lead to the overwriting of arbitrary files on the system.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "python-dotenv: python-dotenv: Arbitrary file overwrite via symbolic link following",
"title": "Vulnerability summary"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-28684"
},
{
"category": "external",
"summary": "RHBZ#2459798",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2459798"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-28684",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-28684"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-28684",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-28684"
},
{
"category": "external",
"summary": "https://github.com/theskumar/python-dotenv/commit/790c5c02991100aa1bf41ee5330aca75edc51311",
"url": "https://github.com/theskumar/python-dotenv/commit/790c5c02991100aa1bf41ee5330aca75edc51311"
},
{
"category": "external",
"summary": "https://github.com/theskumar/python-dotenv/releases/tag/v1.2.2",
"url": "https://github.com/theskumar/python-dotenv/releases/tag/v1.2.2"
},
{
"category": "external",
"summary": "https://github.com/theskumar/python-dotenv/security/advisories/GHSA-mf9w-mj56-hr94",
"url": "https://github.com/theskumar/python-dotenv/security/advisories/GHSA-mf9w-mj56-hr94"
}
],
"release_date": "2026-04-20T16:25:12.302000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Moderate"
}
],
"title": "python-dotenv: python-dotenv: Arbitrary file overwrite via symbolic link following"
},
{
"cve": "CVE-2026-40192",
"cwe": {
"id": "CWE-409",
"name": "Improper Handling of Highly Compressed Data (Data Amplification)"
},
"discovery_date": "2026-04-16T00:00:49.590876+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2458856"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. This vulnerability allows a remote attacker to trigger a denial of service (DoS) by providing a specially crafted FITS image file. The library\u0027s failure to limit the amount of GZIP-compressed data during decoding can lead to unbounded memory consumption, causing the system to crash or experience severe performance issues.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "Pillow: Pillow: Denial of Service via decompression bomb in FITS image processing",
"title": "Vulnerability summary"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-40192"
},
{
"category": "external",
"summary": "RHBZ#2458856",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2458856"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-40192",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-40192"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-40192",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-40192"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/3cb854e8b2bab43f40e342e665f9340d861aa628",
"url": "https://github.com/python-pillow/Pillow/commit/3cb854e8b2bab43f40e342e665f9340d861aa628"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/pull/9521",
"url": "https://github.com/python-pillow/Pillow/pull/9521"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-whj4-6x5x-4v2j",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-whj4-6x5x-4v2j"
},
{
"category": "external",
"summary": "https://pillow.readthedocs.io/en/stable/releasenotes/12.2.0.html#prevent-fits-decompression-bomb",
"url": "https://pillow.readthedocs.io/en/stable/releasenotes/12.2.0.html#prevent-fits-decompression-bomb"
}
],
"release_date": "2026-04-15T22:53:56.147000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "Pillow: Pillow: Denial of Service via decompression bomb in FITS image processing"
},
{
"cve": "CVE-2026-42311",
"cwe": {
"id": "CWE-120",
"name": "Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)"
},
"discovery_date": "2026-05-09T06:01:14.891885+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2468459"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. An attacker could exploit this vulnerability by tricking a user into processing a specially crafted malicious PSD file. This could lead to memory corruption, potentially causing the application to crash or allowing for arbitrary code execution.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "Pillow: python-pillow: Pillow: Arbitrary code execution via malicious PSD file processing",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This is an Important severity flaw in Pillow, a Python imaging library, that could lead to arbitrary code execution. The vulnerability requires a user to process a specially crafted malicious PSD file, which could result in memory corruption and allow an attacker to execute arbitrary code. Red Hat products that process untrusted image files using Pillow are at risk if they do not adequately sanitize input or operate in a sandboxed environment.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-42311"
},
{
"category": "external",
"summary": "RHBZ#2468459",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2468459"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-42311",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42311"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-42311",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42311"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/58f9a1d166dcb0c274807d4423522d205b0c35ea",
"url": "https://github.com/python-pillow/Pillow/commit/58f9a1d166dcb0c274807d4423522d205b0c35ea"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/pull/9520",
"url": "https://github.com/python-pillow/Pillow/pull/9520"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/releases/tag/12.2.0",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.2.0"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-pwv6-vv43-88gr",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-pwv6-vv43-88gr"
}
],
"release_date": "2026-05-09T04:11:58.092000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "To mitigate this vulnerability, users should avoid processing untrusted or suspicious PSD image files with applications that utilize the Pillow library. Implementing strict input validation and sanitization for image uploads and processing workflows can reduce the risk. Additionally, running applications that process untrusted content within a sandboxed environment can limit the potential impact of successful exploitation.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "Pillow: python-pillow: Pillow: Arbitrary code execution via malicious PSD file processing"
},
{
"cve": "CVE-2026-48586",
"cwe": {
"id": "CWE-409",
"name": "Improper Handling of Highly Compressed Data (Data Amplification)"
},
"discovery_date": "2026-07-27T12:01:11.736259+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2507434"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Apache Thrift. This vulnerability, categorized as improper handling of highly compressed data (also known as data amplification), allows a remote attacker to cause a Denial of Service (DoS) by sending specially crafted, highly compressed data. The affected component fails to properly manage the expansion of this data, leading to resource exhaustion and system unavailability.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "thrift: org.apache.thrift/libthrift: github.com/apache/thrift: Apache Thrift: Denial of Service via improper handling of highly compressed data",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This Important vulnerability in Apache Thrift\u0027s handling of highly compressed data can lead to a denial of service. Remote, unauthenticated attackers could exploit this flaw by sending specially crafted compressed data, causing excessive resource consumption and disrupting the availability of services utilizing vulnerable Thrift bindings in Red Hat products.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-48586"
},
{
"category": "external",
"summary": "RHBZ#2507434",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2507434"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-48586",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-48586"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-48586",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-48586"
},
{
"category": "external",
"summary": "http://www.openwall.com/lists/oss-security/2026/07/24/37",
"url": "http://www.openwall.com/lists/oss-security/2026/07/24/37"
},
{
"category": "external",
"summary": "https://lists.apache.org/thread/7v3jhgwfbmhx42424phydlnzb109g8b9",
"url": "https://lists.apache.org/thread/7v3jhgwfbmhx42424phydlnzb109g8b9"
},
{
"category": "external",
"summary": "https://lists.apache.org/thread/p008svsjf9p6bj47wyyf5dgglq5z7xoq",
"url": "https://lists.apache.org/thread/p008svsjf9p6bj47wyyf5dgglq5z7xoq"
}
],
"release_date": "2026-07-27T11:02:54.430000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "thrift: org.apache.thrift/libthrift: github.com/apache/thrift: Apache Thrift: Denial of Service via improper handling of highly compressed data"
},
{
"cve": "CVE-2026-54060",
"cwe": {
"id": "CWE-1050",
"name": "Excessive Platform Resource Consumption within a Loop"
},
"discovery_date": "2026-07-06T20:02:29.509113+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2497466"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. When processing a specially crafted font file, the library\u0027s font compilation function does not adequately check for excessive memory allocation. This oversight allows a remote attacker to trigger an unreasonable consumption of system memory, leading to a denial of service (DoS) for the application.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "python-pillow: Pillow: Denial of Service via excessive memory allocation when processing font files",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "A flaw was found in Pillow prior to version 12.3.0. The FontFile.compile() method in PIL/FontFile.py assembles per-glyph images into a combined bitmap using Image.new() without calling Image._decompression_bomb_check(). This allows a specially crafted font file to trigger excessive memory allocation during conversion or saving, leading to denial of service via resource exhaustion.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-54060"
},
{
"category": "external",
"summary": "RHBZ#2497466",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2497466"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-54060",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-54060"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-54060",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54060"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/blob/main/docs/releasenotes/12.3.0.rst",
"url": "https://github.com/python-pillow/Pillow/blob/main/docs/releasenotes/12.3.0.rst"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/0a263e6264aa5399988d9acd3bbfbca2ca3ec77d",
"url": "https://github.com/python-pillow/Pillow/commit/0a263e6264aa5399988d9acd3bbfbca2ca3ec77d"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-5x94-69rx-g8h2",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-5x94-69rx-g8h2"
}
],
"release_date": "2026-07-06T18:49:23.788000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "python-pillow: Pillow: Denial of Service via excessive memory allocation when processing font files"
},
{
"cve": "CVE-2026-55379",
"cwe": {
"id": "CWE-770",
"name": "Allocation of Resources Without Limits or Throttling"
},
"discovery_date": "2026-07-06T20:01:29.922515+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2497452"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. This vulnerability allows a remote attacker to cause a Denial of Service (DoS) by providing a specially crafted BDF font file. The library\u0027s image processing function fails to properly validate dimensions from the font file, bypassing a critical security check designed to prevent excessive memory usage. This oversight can lead to the system consuming an unreasonable amount of memory, making it unavailable to legitimate users.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "python-pillow: Pillow: Denial of Service via crafted BDF font file",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "A flaw was found in the Pillow Python imaging library. The BDF font file parser passes attacker-controlled dimensions to Image.new() without decompression bomb validation, allowing excessive memory allocation and denial of service.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-55379"
},
{
"category": "external",
"summary": "RHBZ#2497452",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2497452"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-55379",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55379"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-55379",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-55379"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/blob/main/docs/releasenotes/12.3.0.rst",
"url": "https://github.com/python-pillow/Pillow/blob/main/docs/releasenotes/12.3.0.rst"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/0a263e6264aa5399988d9acd3bbfbca2ca3ec77d",
"url": "https://github.com/python-pillow/Pillow/commit/0a263e6264aa5399988d9acd3bbfbca2ca3ec77d"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-45hq-cxwh-f6vc",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-45hq-cxwh-f6vc"
}
],
"release_date": "2026-07-06T18:52:11.633000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Do not load BDF font files from untrusted sources. Applications that only process standard image formats (PNG, JPEG, etc.) and do not use BdfFontFile or ImageFont.load() with BDF files are not affected.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "python-pillow: Pillow: Denial of Service via crafted BDF font file"
},
{
"cve": "CVE-2026-55380",
"cwe": {
"id": "CWE-1285",
"name": "Improper Validation of Specified Index, Position, or Offset in Input"
},
"discovery_date": "2026-07-06T20:01:42.245051+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2497455"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit this vulnerability by providing a specially crafted GD 2.x image file. The GdImageFile._open() function reads image dimensions without proper validation, leading to excessive memory allocation. This can result in a Denial of Service (DoS) due to C-heap exhaustion.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "python-pillow: Pillow: Denial of Service via crafted GD 2.x image file",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "A denial-of-service vulnerability was found in Pillow\u0027s GdImageFile plugin. The GdImageFile._open() function reads image dimensions from GD 2.x file headers and stores them without performing a decompression bomb check. A crafted .gd file of approximately 1 KB can trigger an unchecked 4.3 GB C-heap allocation, potentially crashing the process or exhausting memory on systems with insufficient resources. This issue is fixed in Pillow 12.3.0.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-55380"
},
{
"category": "external",
"summary": "RHBZ#2497455",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2497455"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-55380",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55380"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-55380",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-55380"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/blob/main/docs/releasenotes/12.3.0.rst",
"url": "https://github.com/python-pillow/Pillow/blob/main/docs/releasenotes/12.3.0.rst"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/f39b0ae6624eb2d7c5c5d651d9bb5fdbd96a8675",
"url": "https://github.com/python-pillow/Pillow/commit/f39b0ae6624eb2d7c5c5d651d9bb5fdbd96a8675"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-phj9-mv4w-65pm",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-phj9-mv4w-65pm"
}
],
"release_date": "2026-07-06T18:50:14.789000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Avoid processing untrusted GD 2.x image files with PIL.GdImageFile.open(). Use Image.open() instead, which includes decompression bomb protections for supported formats. If GdImageFile must be used, validate the image dimensions before calling load(). Restricting accepted image formats at the application boundary to only those explicitly needed can reduce exposure.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "python-pillow: Pillow: Denial of Service via crafted GD 2.x image file"
},
{
"cve": "CVE-2026-55969",
"cwe": {
"id": "CWE-190",
"name": "Integer Overflow or Wraparound"
},
"discovery_date": "2026-07-27T12:01:08.265881+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2507433"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Apache Thrift\u0027s C++, c_glib, Go, netstd, Delphi, and Haxe bindings. This integer overflow or wraparound vulnerability allows a remote attacker to cause a denial of service (DoS) by sending specially crafted input. The flaw can lead to the affected service becoming unavailable.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "thrift: github.com/apache/thrift: Apache Thrift: Denial of Service via integer overflow or wraparound",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This vulnerability in Apache Thrift bindings, rated as Important, allows a remote attacker to trigger a denial of service. The integer overflow or wraparound flaw can lead to affected services becoming unavailable, impacting the reliability of systems utilizing vulnerable Thrift components across Red Hat products such as OpenShift Container Platform and Red Hat Ceph Storage.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-55969"
},
{
"category": "external",
"summary": "RHBZ#2507433",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2507433"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-55969",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-55969"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-55969",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-55969"
},
{
"category": "external",
"summary": "http://www.openwall.com/lists/oss-security/2026/07/24/40",
"url": "http://www.openwall.com/lists/oss-security/2026/07/24/40"
},
{
"category": "external",
"summary": "https://lists.apache.org/thread/7v3jhgwfbmhx42424phydlnzb109g8b9",
"url": "https://lists.apache.org/thread/7v3jhgwfbmhx42424phydlnzb109g8b9"
},
{
"category": "external",
"summary": "https://lists.apache.org/thread/xmkgd107k795hyrg5kf97mny30sgl5bo",
"url": "https://lists.apache.org/thread/xmkgd107k795hyrg5kf97mny30sgl5bo"
}
],
"release_date": "2026-07-27T11:07:53.785000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "thrift: github.com/apache/thrift: Apache Thrift: Denial of Service via integer overflow or wraparound"
},
{
"acknowledgments": [
{
"names": [
"The FuzzAnything Team"
],
"organization": "FuzzAnything"
}
],
"cve": "CVE-2026-56208",
"cwe": {
"id": "CWE-122",
"name": "Heap-based Buffer Overflow"
},
"discovery_date": "2026-06-19T00:00:00+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2490799"
}
],
"notes": [
{
"category": "description",
"text": "A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder\u0027s Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "libaom: libaom: heap buffer overflow in AV1 encoder first-pass stats buffer via LAP mode",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This vulnerability is rated as Important severity because a heap buffer overflow with attacker-influenced data can cause reliable denial of service and potentially lead to code execution, though the attacker has only indirect control over the written values (encoder-computed statistics). In Red Hat products, libaom ships bundled within Firefox and Thunderbird as a statically-linked dependency used for AV1 decoding and WebRTC encoding. The vulnerable code path requires the encoder to be configured with g_lag_in_frames \u003e= 1 (Look-Ahead Processing mode). In Firefox\u0027s WebRTC implementation, the encoder configuration is controlled by the browser itself and not exposed to remote peers, which significantly limits the attack surface compared to standalone transcoding services. RHEL-AI 3.4 and Hummingbird 1 ship standalone libaom (aom) packages at versions within the affected range. Applications on those platforms that use the libaom encoder API with LAP mode and accept untrusted configuration input are vulnerable.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-56208"
},
{
"category": "external",
"summary": "RHBZ#2490799",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2490799"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-56208",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-56208"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-56208",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56208"
},
{
"category": "external",
"summary": "https://aomedia.googlesource.com/aom/+/243f8ae84b",
"url": "https://aomedia.googlesource.com/aom/+/243f8ae84b"
},
{
"category": "external",
"summary": "https://issues.chromium.org/issues/504317456",
"url": "https://issues.chromium.org/issues/504317456"
}
],
"release_date": "2026-06-19T00:00:00+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "There is no complete mitigation for this vulnerability. The following measures can reduce risk:\n\n1. If using libaom as a standalone encoder library, avoid setting g_lag_in_frames to values \u003e= 1 when processing untrusted input, or validate all encoder configuration parameters before passing them to the libaom API.\n2. For Firefox and Thunderbird, ensure browsers are updated to versions that include the patched libaom (v3.14.0 or later).\n3. For standalone libaom deployments (RHEL-AI, Hummingbird), restrict access to the encoding service to trusted clients only.\n4. Apply network-level access controls to limit who can submit video for encoding.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "libaom: libaom: heap buffer overflow in AV1 encoder first-pass stats buffer via LAP mode"
},
{
"acknowledgments": [
{
"names": [
"The FuzzAnything Team"
],
"organization": "FuzzAnything"
}
],
"cve": "CVE-2026-56209",
"cwe": {
"id": "CWE-787",
"name": "Out-of-bounds Write"
},
"discovery_date": "2026-06-19T00:00:00+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2490800"
}
],
"notes": [
{
"category": "description",
"text": "An arbitrary address write vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "libaom: libaom: arbitrary address write via SVC layer context OOB and cyclic refresh map pointer hijack",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This vulnerability is rated as Critical severity because it provides a fully deterministic arbitrary address write primitive that requires no information leak and is self-bootstrapping from attacker-controlled pixel values. The 1,200-byte write at an attacker-chosen address is sufficient for control flow hijacking. In Red Hat products, libaom ships bundled within Firefox and Thunderbird. The vulnerable code path requires the SVC (Scalable Video Coding) encoder feature to be enabled and the attacker to control both the layer_id configuration and the image frame pixel values. In Firefox\u0027s WebRTC implementation, SVC encoding parameters and frame submission are managed internally by the browser; a remote peer cannot directly set arbitrary layer IDs or inject pixel values into the local encoder. This significantly reduces exploitability in the browser context. RHEL-AI 3.4 (aom 3.12.0) and Hummingbird 1 (aom 3.13.3) ship standalone libaom packages within the affected version range. Services on those platforms that expose the SVC encoder API with attacker-controlled layer configuration and frame input are at highest risk.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-56209"
},
{
"category": "external",
"summary": "RHBZ#2490800",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2490800"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-56209",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-56209"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-56209",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56209"
},
{
"category": "external",
"summary": "https://aomedia.googlesource.com/aom/+/a93ba0ffaa",
"url": "https://aomedia.googlesource.com/aom/+/a93ba0ffaa"
},
{
"category": "external",
"summary": "https://issues.chromium.org/issues/503993984",
"url": "https://issues.chromium.org/issues/503993984"
}
],
"release_date": "2026-06-19T00:00:00+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "There is no complete mitigation for this vulnerability. The following measures can reduce risk:\n\n1. If using libaom as a standalone encoder library with SVC enabled, validate that spatial_layer_id and temporal_layer_id values are within the configured range [0, configured_layers) before calling aom_codec_control with AV1E_SET_SVC_LAYER_ID.\n2. Restrict access to encoding services to trusted clients only. Do not expose libaom SVC encoder configuration to untrusted input.\n3. For Firefox and Thunderbird, ensure browsers are updated to versions that include the patched libaom (v3.14.0 or later).\n4. Deploy encoding services with ASLR, stack canaries, and other exploit mitigation technologies enabled.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "libaom: libaom: arbitrary address write via SVC layer context OOB and cyclic refresh map pointer hijack"
},
{
"acknowledgments": [
{
"names": [
"The FuzzAnything Team"
],
"organization": "FuzzAnything"
}
],
"cve": "CVE-2026-56210",
"cwe": {
"id": "CWE-125",
"name": "Out-of-bounds Read"
},
"discovery_date": "2026-06-19T00:00:00+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2490801"
}
],
"notes": [
{
"category": "description",
"text": "A heap-buffer-overflow read vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows setting a spatial_layer_id exceeding the configured number of layers. This causes an out-of-bounds heap read of approximately 40,728 bytes when computing a layer context array index. An attacker who can influence SVC encoder parameters in a network-facing service could exploit this for information disclosure (heap content leak) or denial of service (segmentation fault from hitting unmapped memory).",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "libaom: libaom: heap-buffer-overflow read via missing bounds check in ctrl_set_layer_id",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This vulnerability is rated as Important severity because the 40KB out-of-bounds heap read can disclose sensitive information from adjacent heap allocations (including pointers useful for ASLR bypass in chained attacks) and reliably causes denial of service by hitting unmapped pages. In Red Hat products, libaom ships bundled within Firefox and Thunderbird. The vulnerable code path requires the SVC encoder feature to be enabled and an attacker to set spatial_layer_id to a value exceeding the number of configured spatial layers. In Firefox\u0027s WebRTC implementation, SVC layer parameters are managed internally by the browser and not directly exposed to remote peers, which limits exploitability. RHEL-AI 3.4 (aom 3.12.0) and Hummingbird 1 (aom 3.13.3) ship standalone libaom packages within the affected version range. Services that expose SVC encoder layer configuration to untrusted input are affected.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-56210"
},
{
"category": "external",
"summary": "RHBZ#2490801",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2490801"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-56210",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-56210"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-56210",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56210"
},
{
"category": "external",
"summary": "https://aomedia.googlesource.com/aom/+/a93ba0ffaa",
"url": "https://aomedia.googlesource.com/aom/+/a93ba0ffaa"
},
{
"category": "external",
"summary": "https://issues.chromium.org/issues/503975732",
"url": "https://issues.chromium.org/issues/503975732"
}
],
"release_date": "2026-06-19T00:00:00+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "There is no complete mitigation for this vulnerability. The following measures can reduce risk:\n\n1. If using libaom as a standalone encoder library with SVC enabled, validate that spatial_layer_id does not exceed the number of configured spatial layers before calling aom_codec_control with AV1E_SET_SVC_LAYER_ID.\n2. Restrict access to encoding services to trusted clients only.\n3. For Firefox and Thunderbird, ensure browsers are updated to versions that include the patched libaom (v3.14.0 or later).\n4. Monitor encoding service processes for unexpected crashes (segfaults) that may indicate exploitation attempts.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "libaom: libaom: heap-buffer-overflow read via missing bounds check in ctrl_set_layer_id"
},
{
"acknowledgments": [
{
"names": [
"The FuzzAnything Team"
],
"organization": "FuzzAnything"
}
],
"cve": "CVE-2026-56211",
"cwe": {
"id": "CWE-787",
"name": "Out-of-bounds Write"
},
"discovery_date": "2026-06-19T00:00:00+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2490802"
}
],
"notes": [
{
"category": "description",
"text": "A remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder\u0027s SVC (Scalable Video Coding) layer ID control allows an attacker to supply crafted video frame pixels that overlap with internal encoder layer context structures. In fork-based video processing services, an attacker can use this to hijack the cyclic refresh map pointer, brute-force the process base address via a crash oracle, and redirect control flow to achieve arbitrary command execution. Exploitation requires the target service to use libaom with SVC encoding enabled and accept attacker-supplied video frames.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "libaom: libaom: remote code execution via SVC layer context handling with attacker-controlled frames",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This vulnerability is rated as Critical severity because the researcher demonstrated successful remote code execution against a fork-based video processing service. The exploit chain leverages attacker-controlled pixel values to hijack internal encoder pointers, uses a crash oracle to brute-force ASLR, and ultimately achieves arbitrary command execution. However, the attack complexity is elevated: it requires a fork-based service architecture (for the crash oracle), multiple encoding attempts (for ASLR brute-force), and knowledge of the target binary layout. In Red Hat products, libaom ships bundled within Firefox and Thunderbird. Firefox does not use a fork-based architecture for WebRTC encoding, and SVC layer parameters are managed internally, making the demonstrated exploit chain not directly applicable to the browser context. RHEL-AI 3.4 (aom 3.12.0) and Hummingbird 1 (aom 3.13.3) ship standalone libaom packages within the affected version range. Fork-based transcoding or video conferencing services that use libaom with SVC encoding and accept attacker-supplied frames are at highest risk for this specific exploit chain.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-56211"
},
{
"category": "external",
"summary": "RHBZ#2490802",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2490802"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-56211",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-56211"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-56211",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56211"
},
{
"category": "external",
"summary": "https://aomedia.googlesource.com/aom/+/a93ba0ffaa",
"url": "https://aomedia.googlesource.com/aom/+/a93ba0ffaa"
},
{
"category": "external",
"summary": "https://issues.chromium.org/issues/503993985",
"url": "https://issues.chromium.org/issues/503993985"
}
],
"release_date": "2026-06-19T00:00:00+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "There is no complete mitigation for this vulnerability. The following measures can reduce risk:\n\n1. If using libaom as a standalone encoder in a fork-based service, validate all SVC layer parameters (spatial_layer_id, temporal_layer_id) against configured bounds before passing them to the encoder API.\n2. Avoid fork-based architectures for encoding services that accept untrusted input. Use thread-based or container-isolated workers instead, which prevent crash oracle attacks.\n3. Restrict access to encoding services to trusted clients only. Do not expose SVC encoder configuration or frame submission to untrusted network input.\n4. For Firefox and Thunderbird, ensure browsers are updated to versions that include the patched libaom (v3.14.0 or later).\n5. Enable all available exploit mitigations (ASLR, PIE, stack canaries, CFI) on encoding service binaries.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "libaom: libaom: remote code execution via SVC layer context handling with attacker-controlled frames"
},
{
"cve": "CVE-2026-58049",
"cwe": {
"id": "CWE-787",
"name": "Out-of-bounds Write"
},
"discovery_date": "2026-06-28T03:01:15.644058+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2493952"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in FFmpeg\u0027s RASC video decoder. A remote attacker could exploit this by providing a crafted media stream using the RASC FourCC (Four Character Code), which is then decoded by libavcodec. This vulnerability triggers a bitstream-controlled out-of-bounds heap write and an adjacent out-of-bounds read, leading to memory corruption. This can result in a denial of service or potentially arbitrary code execution.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "FFmpeg: FFmpeg: Memory corruption via crafted RASC video stream",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "The vulnerability in FFmpeg\u0027s RASC video decoder is rated as Important. This flaw allows a remote attacker to cause memory corruption, potentially leading to denial of service or arbitrary code execution, by providing a specially crafted media stream. Red Hat products utilizing FFmpeg for RASC video decoding are at risk if they process untrusted media content.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-58049"
},
{
"category": "external",
"summary": "RHBZ#2493952",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2493952"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-58049",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-58049"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-58049",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-58049"
},
{
"category": "external",
"summary": "https://github.com/FFmpeg/FFmpeg/blob/master/libavcodec/rasc.c",
"url": "https://github.com/FFmpeg/FFmpeg/blob/master/libavcodec/rasc.c"
},
{
"category": "external",
"summary": "https://github.com/bikini/exploitarium/tree/main/ffmpeg-rasc-dlta-calc-poc",
"url": "https://github.com/bikini/exploitarium/tree/main/ffmpeg-rasc-dlta-calc-poc"
},
{
"category": "external",
"summary": "https://www.vulncheck.com/advisories/ffmpeg-out-of-bounds-write-in-rasc-decoder-decode-dlta",
"url": "https://www.vulncheck.com/advisories/ffmpeg-out-of-bounds-write-in-rasc-decoder-decode-dlta"
}
],
"release_date": "2026-06-28T01:32:52.900000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "FFmpeg: FFmpeg: Memory corruption via crafted RASC video stream"
},
{
"cve": "CVE-2026-59204",
"cwe": {
"id": "CWE-131",
"name": "Incorrect Calculation of Buffer Size"
},
"discovery_date": "2026-07-14T16:02:11.802781+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2500022"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. A remote attacker could exploit this vulnerability by providing a specially crafted JPEG2000 image file. Due to incorrect calculation of memory requirements for image tiles, processing this file can lead to excessive memory consumption, resulting in a denial of service (DoS) through out-of-memory failures.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "Pillow: Pillow: Denial of Service via crafted JPEG2000 image",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "The impact is limited to denial of service via excessive memory allocation. A crafted JPEG2000 file can trigger out-of-memory failures, but this does not lead to code execution or information disclosure.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-59204"
},
{
"category": "external",
"summary": "RHBZ#2500022",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2500022"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-59204",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59204"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-59204",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59204"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/13ada41172142f2fd9f0906f615a00ea623a11ca",
"url": "https://github.com/python-pillow/Pillow/commit/13ada41172142f2fd9f0906f615a00ea623a11ca"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/pull/9704",
"url": "https://github.com/python-pillow/Pillow/pull/9704"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-vjc4-5qp5-m44j",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-vjc4-5qp5-m44j"
}
],
"release_date": "2026-07-14T15:38:29.545000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "If the application does not need JPEG2000 support, block .jp2, .j2k, .jpf, and .jpx uploads at the input layer.\n\nFor services that do process JPEG2000, set memory limits on the process or container (LimitAS= in systemd, or memory limits in Kubernetes/Podman) so a crafted image can only crash the worker, not the whole host. Add automatic restarts (Restart=always in systemd, or container restart policies) so the service recovers from OOM kills without someone having to intervene.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "Pillow: Pillow: Denial of Service via crafted JPEG2000 image"
},
{
"cve": "CVE-2026-59205",
"cwe": {
"id": "CWE-843",
"name": "Access of Resource Using Incompatible Type (\u0027Type Confusion\u0027)"
},
"discovery_date": "2026-07-14T17:02:11.367224+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2500052"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Pillow, a Python imaging library. This vulnerability allows an attacker to trigger controlled native heap corruption by supplying an output image whose mode does not match the transform\u0027s declared output mode when using the ImageCms.ImageCmsTransform.apply API. This can lead to a denial of service (DoS) condition, making the affected system or application unavailable.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "Pillow: Pillow: Controlled native heap corruption in ImageCms.ImageCmsTransform.apply API",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "The impact is limited to denial of service. While the underlying issue is heap corruption via mode mismatch, it does not provide a controlled write primitive exploitable for code execution in affected Red Hat products.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-59205"
},
{
"category": "external",
"summary": "RHBZ#2500052",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2500052"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-59205",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59205"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-59205",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59205"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/commit/a9ffc42bedf4fc0a7ef8d6486e7f9e81e3397721",
"url": "https://github.com/python-pillow/Pillow/commit/a9ffc42bedf4fc0a7ef8d6486e7f9e81e3397721"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/pull/9715",
"url": "https://github.com/python-pillow/Pillow/pull/9715"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"category": "external",
"summary": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-9hw9-ch79-4vh6",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-9hw9-ch79-4vh6"
}
],
"release_date": "2026-07-14T15:48:39.962000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "Most applications using Pillow\u0027s color management via profileToProfile() or applyTransform() are not exposed. Only code that calls ImageCmsTransform.apply() directly with a user-controlled output image whose mode does not match the transform can trigger the heap corruption. Audit your code for direct apply() calls to confirm.\n\nRHEL builds ship with ASLR, full RELRO/PIE, and FORTIFY_SOURCE by default, making escalation from crash to code execution much harder. For DoS containment, configure automatic service restart (Restart=always in systemd, or container restart policies) so the process recovers without manual intervention.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "Pillow: Pillow: Controlled native heap corruption in ImageCms.ImageCmsTransform.apply API"
},
{
"cve": "CVE-2026-64830",
"cwe": {
"id": "CWE-787",
"name": "Out-of-bounds Write"
},
"discovery_date": "2026-07-22T18:01:30.962327+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2506193"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in FFmpeg, a widely used multimedia framework. This vulnerability, a heap buffer overflow in the VobSub subtitle demuxer, allows a remote attacker to corrupt memory. By providing a specially crafted subtitle file, an attacker can trigger unbounded writes, which could lead to arbitrary code execution in applications that use FFmpeg\u0027s VobSub demuxer. This could allow an attacker to take control of the affected system.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "ffmpeg: FFmpeg: Arbitrary code execution via heap buffer overflow in VobSub subtitle demuxer.",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "A heap buffer overflow in FFmpeg\u0027s VobSub subtitle demuxer can lead to arbitrary code execution when processing a specially crafted subtitle file. Exploitation requires user interaction, such as opening a malicious media file, which reduces the attack surface but can result in high impact if an affected application processes untrusted content.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-64830"
},
{
"category": "external",
"summary": "RHBZ#2506193",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2506193"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-64830",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-64830"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-64830",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64830"
},
{
"category": "external",
"summary": "https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/dbd495f066a85ba96b17433f4306582aa37c3951",
"url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/dbd495f066a85ba96b17433f4306582aa37c3951"
},
{
"category": "external",
"summary": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23657",
"url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23657"
},
{
"category": "external",
"summary": "https://www.vulncheck.com/advisories/ffmpeg-heap-buffer-overflow-via-vobsub-subtitle-demuxer",
"url": "https://www.vulncheck.com/advisories/ffmpeg-heap-buffer-overflow-via-vobsub-subtitle-demuxer"
}
],
"release_date": "2026-07-22T16:33:05.724000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
},
{
"category": "workaround",
"details": "To mitigate this issue, avoid processing VobSub subtitle files from untrusted or unknown sources. For applications that utilize FFmpeg\u0027s VobSub demuxer, consider running them within a sandboxed environment to restrict the potential impact of a successful exploit.",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "ffmpeg: FFmpeg: Arbitrary code execution via heap buffer overflow in VobSub subtitle demuxer."
},
{
"cve": "CVE-2026-64835",
"cwe": {
"id": "CWE-125",
"name": "Out-of-bounds Read"
},
"discovery_date": "2026-07-22T18:01:43.659646+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2506195"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in FFmpeg. A remote attacker could exploit an out-of-bounds memory access vulnerability in the ADX audio decoder by supplying a specially crafted ADX or AAX audio file. This could lead to the attacker triggering both out-of-bounds reads and writes, potentially resulting in arbitrary code execution, information disclosure, or denial of service.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "FFmpeg: FFmpeg: Arbitrary code execution, information disclosure, or denial of service via crafted ADX/AAX audio files",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "Conditions for Exploitation: Successful exploitation requires user interaction or a specific application workflow. An attacker cannot trigger this vulnerability entirely remotely on their own; they must supply a specially crafted ADX or AAX audio file and rely on a user or an automated media-processing system to actively parse it using the FFmpeg library.\n\nImpact Limitations: Although the out-of-bounds read and write vulnerabilities have the potential to allow for arbitrary code execution or information disclosure, achieving this reliably is highly complex and depends on the memory layout and protections of the specific application utilizing FFmpeg. In most typical scenarios, processing the malformed file will simply cause the parsing application to crash, resulting in a localized Denial of Service (DoS) rather than a full system compromise.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
"fixed": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-64835"
},
{
"category": "external",
"summary": "RHBZ#2506195",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2506195"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-64835",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-64835"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-64835",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64835"
},
{
"category": "external",
"summary": "https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/1836ef96846937a6cc2443698a693104f5c0b21e",
"url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/1836ef96846937a6cc2443698a693104f5c0b21e"
},
{
"category": "external",
"summary": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23659",
"url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23659"
},
{
"category": "external",
"summary": "https://www.vulncheck.com/advisories/ffmpeg-out-of-bounds-memory-access-in-adx-audio-decoder",
"url": "https://www.vulncheck.com/advisories/ffmpeg-out-of-bounds-memory-access-in-adx-audio-decoder"
}
],
"release_date": "2026-07-22T17:24:05.477000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-31T13:41:15+00:00",
"details": "For more information visit https://access.redhat.com/errata/RHSA-2026:61628",
"product_ids": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:61628"
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64",
"Red Hat AI Inference Server 3.2:registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "FFmpeg: FFmpeg: Arbitrary code execution, information disclosure, or denial of service via crafted ADX/AAX audio files"
}
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.