CVE-2019-19624 (GCVE-0-2019-19624)
Vulnerability from cvelistv5 – Published: 2019-12-06 14:26 – Updated: 2024-08-05 02:25
VLAI
EPSS
VEX
Summary
An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy.
Severity
6.5 (Medium)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/opencv/opencv/issues/14554 | x_refsource_MISC |
| https://github.com/opencv/opencv/commit/d1615ba11… | x_refsource_MISC |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-05T02:25:12.094Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/opencv/opencv/issues/14554"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "n/a",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2019-12-06T14:26:56.000Z",
"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"shortName": "mitre"
},
"references": [
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/opencv/opencv/issues/14554"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
}
],
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2019-19624",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/opencv/opencv/issues/14554",
"refsource": "MISC",
"url": "https://github.com/opencv/opencv/issues/14554"
},
{
"name": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418",
"refsource": "MISC",
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"assignerShortName": "mitre",
"cveId": "CVE-2019-19624",
"datePublished": "2019-12-06T14:26:56.000Z",
"dateReserved": "2019-12-06T00:00:00.000Z",
"dateUpdated": "2024-08-05T02:25:12.094Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2019-19624",
"date": "2026-09-24",
"epss": "0.01756",
"percentile": "0.7695"
},
"fkie_nvd": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:opencv:opencv:*:*:*:*:*:*:*:*",
"matchCriteriaId": "B00DAA9A-1738-491E-9220-BFFB8580CAB4",
"versionEndExcluding": "4.1.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
},
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:redhat:enterprise_linux:8.0:*:*:*:*:*:*:*",
"matchCriteriaId": "F4CFF558-3C47-480D-A2F0-BABF26042943",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
},
{
"lang": "es",
"value": "Se detect\u00f3 una lectura fuera de l\u00edmites en OpenCV versiones anteriores a 4.1.1. Espec\u00edficamente, una variable coarsest_scale es asumida para ser mayor o igual que finest_scale dentro de las funciones calc() y ocl_calc() en el archivo dis_flow.cpp. Sin embargo, esto no es cierto cuando se trata de im\u00e1genes peque\u00f1as, conllevando a una lectura fuera de l\u00edmites de las matrices Ux y Uy asignadas de la pila."
}
],
"id": "CVE-2019-19624",
"lastModified": "2024-11-21T04:35:04.850",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.5,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-12-06T15:15:10.330",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/issues/14554"
},
{
"source": "nvd@nist.gov",
"tags": [
"Third Party Advisory"
],
"url": "https://access.redhat.com/security/cve/cve-2019-19624"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/issues/14554"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"nvd": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:opencv:opencv:*:*:*:*:*:*:*:*",
"matchCriteriaId": "B00DAA9A-1738-491E-9220-BFFB8580CAB4",
"versionEndExcluding": "4.1.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
},
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:redhat:enterprise_linux:8.0:*:*:*:*:*:*:*",
"matchCriteriaId": "F4CFF558-3C47-480D-A2F0-BABF26042943",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
},
{
"lang": "es",
"value": "Se detect\u00f3 una lectura fuera de l\u00edmites en OpenCV versiones anteriores a 4.1.1. Espec\u00edficamente, una variable coarsest_scale es asumida para ser mayor o igual que finest_scale dentro de las funciones calc() y ocl_calc() en el archivo dis_flow.cpp. Sin embargo, esto no es cierto cuando se trata de im\u00e1genes peque\u00f1as, conllevando a una lectura fuera de l\u00edmites de las matrices Ux y Uy asignadas de la pila."
}
],
"id": "CVE-2019-19624",
"lastModified": "2024-11-21T04:35:04.850",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.5,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-12-06T15:15:10.330",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/issues/14554"
},
{
"source": "nvd@nist.gov",
"tags": [
"Third Party Advisory"
],
"url": "https://access.redhat.com/security/cve/cve-2019-19624"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/opencv/opencv/issues/14554"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-06-26T23:49:05+00:00",
"cve": "CVE-2019-19624",
"id": "CVE-2019-19624",
"initial_release_date": "2019-05-14T00:00:00+00:00",
"product_status:known_affected": "6",
"product_status:known_not_affected": "9",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "opencv: out-of-bounds read in DIS optflow algorithm when dealing with small images",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2019/cve-2019-19624.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2025-10-07T09:19:44Z",
"cve": "CVE-2019-19624",
"id": "CVE-2019-19624",
"initial_release_date": "2023-02-15T04:05:57Z",
"product_status:known_not_affected": "24",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2019-19624",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2019-19624.json",
"version": "9"
}
}
}
Loading…
Loading…
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.
Loading…
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
Loading…