CVE-2026-44512 (GCVE-0-2026-44512)
Vulnerability from cvelistv5 – Published: 2026-07-08 19:32 – Updated: 2026-07-08 19:32
VLAI
EPSS
VEX
Title
ONNX: Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)
Summary
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.9.0 before 1.22.0, onnx.version_converter.convert_version() can dereference a null pointer in Upsample_6_7::adapt_upsample_6_7() in onnx/version_converter/adapters/upsample_6_7.h when processing an untrusted model with an Upsample node that has zero inputs, causing an unrecoverable denial of service. This issue is fixed in version 1.22.0.
Severity
5.5 (Medium)
CWE
- CWE-476 - NULL Pointer Dereference
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/onnx/onnx/security/advisories/… | x_refsource_CONFIRM |
| https://github.com/onnx/onnx/pull/7813 | x_refsource_MISC |
| https://github.com/onnx/onnx/commit/cd310408165ad… | x_refsource_MISC |
| https://github.com/onnx/onnx/releases/tag/v1.22.0 | x_refsource_MISC |
{
"containers": {
"cna": {
"affected": [
{
"product": "onnx",
"vendor": "onnx",
"versions": [
{
"status": "affected",
"version": "\u003e= 1.9.0, \u003c 1.22.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.9.0 before 1.22.0, onnx.version_converter.convert_version() can dereference a null pointer in Upsample_6_7::adapt_upsample_6_7() in onnx/version_converter/adapters/upsample_6_7.h when processing an untrusted model with an Upsample node that has zero inputs, causing an unrecoverable denial of service. This issue is fixed in version 1.22.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-476",
"description": "CWE-476: NULL Pointer Dereference",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-07-08T19:32:04.886Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77"
},
{
"name": "https://github.com/onnx/onnx/pull/7813",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/onnx/onnx/pull/7813"
},
{
"name": "https://github.com/onnx/onnx/commit/cd310408165ad47c3cd7eb2b86cb5b80aa2e4fdf",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/onnx/onnx/commit/cd310408165ad47c3cd7eb2b86cb5b80aa2e4fdf"
},
{
"name": "https://github.com/onnx/onnx/releases/tag/v1.22.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/onnx/onnx/releases/tag/v1.22.0"
}
],
"source": {
"advisory": "GHSA-hwpq-hmq9-wj77",
"discovery": "UNKNOWN"
},
"title": "ONNX: Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-44512",
"datePublished": "2026-07-08T19:32:04.886Z",
"dateReserved": "2026-05-06T18:28:20.887Z",
"dateUpdated": "2026-07-08T19:32:04.886Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2026-44512\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-07-08T20:16:49.913\",\"lastModified\":\"2026-07-08T20:16:49.913\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.9.0 before 1.22.0, onnx.version_converter.convert_version() can dereference a null pointer in Upsample_6_7::adapt_upsample_6_7() in onnx/version_converter/adapters/upsample_6_7.h when processing an untrusted model with an Upsample node that has zero inputs, causing an unrecoverable denial of service. This issue is fixed in version 1.22.0.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"onnx\",\"product\":\"onnx\",\"versions\":[{\"version\":\"\u003e= 1.9.0, \u003c 1.22.0\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H\",\"baseScore\":5.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":3.6}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-476\"}]}],\"references\":[{\"url\":\"https://github.com/onnx/onnx/commit/cd310408165ad47c3cd7eb2b86cb5b80aa2e4fdf\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/onnx/onnx/pull/7813\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/onnx/onnx/releases/tag/v1.22.0\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/onnx/onnx/security/advisories/GHSA-hwpq-hmq9-wj77\",\"source\":\"security-advisories@github.com\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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