FKIE_CVE-2026-55059
Vulnerability from fkie_nvd - Published: 2026-08-25 01:16 - Updated: 2026-10-12 15:10
Severity
Summary
OpenEXR is the reference implementation and specification for the EXR image format, widely used in the motion picture industry. Versions prior to 3.2.10, 3.3.12 and 3.4.13 contain a heap out-of-bounds write in Imf_4_0::SampleCountChannel::set(int r, unsigned int newNumSamples[]). The row-based sample-count setter computes the target Y coordinate with dataWindow.min.x instead of dataWindow.min.y. For a valid deep image data window where min.x != min.y, a valid row index can be translated into an invalid Y coordinate, causing writes before the allocated _numSamples buffer. The vulnerability is reachable through the public OpenEXRUtil DeepImage API and can lead to heap corruption and process crashes. This issue has been fixed in versions 3.2.10, 3.3.12 and 3.4.13.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "openexr",
"vendor": "AcademySoftwareFoundation",
"versions": [
{
"status": "affected",
"version": "\u003c 3.2.10"
},
{
"status": "affected",
"version": "\u003e= 3.3.0, \u003c 3.3.12"
},
{
"status": "affected",
"version": "\u003e= 3.4.0, \u003c 3.4.13"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "OpenEXR is the reference implementation and specification for the EXR image format, widely used in the motion picture industry. Versions prior to 3.2.10, 3.3.12 and 3.4.13 contain a heap out-of-bounds write in Imf_4_0::SampleCountChannel::set(int r, unsigned int newNumSamples[]). The row-based sample-count setter computes the target Y coordinate with dataWindow.min.x instead of dataWindow.min.y. For a valid deep image data window where min.x != min.y, a valid row index can be translated into an invalid Y coordinate, causing writes before the allocated _numSamples buffer. The vulnerability is reachable through the public OpenEXRUtil DeepImage API and can lead to heap corruption and process crashes. This issue has been fixed in versions 3.2.10, 3.3.12 and 3.4.13."
},
{
"lang": "es",
"value": "OpenEXR es la implementaci\u00f3n de referencia y la especificaci\u00f3n para el formato de imagen EXR, ampliamente utilizado en la industria cinematogr\u00e1fica. Las versiones anteriores a 3.2.10, 3.3.12 y 3.4.13 contienen una escritura fuera de l\u00edmites en el heap en Imf_4_0::SampleCountChannel::set(int r, unsigned int newNumSamples[]). El establecedor de conteo de muestras basado en filas calcula la coordenada Y objetivo con dataWindow.min.x en lugar de dataWindow.min.y. Para una ventana de datos de imagen profunda v\u00e1lida donde min.x != min.y, un \u00edndice de fila v\u00e1lido puede traducirse en una coordenada Y inv\u00e1lida, causando escrituras antes del b\u00fafer _numSamples asignado. La vulnerabilidad es alcanzable a trav\u00e9s de la API p\u00fablica de OpenEXRUtil DeepImage y puede conducir a la corrupci\u00f3n del heap y a fallos del proceso. Este problema ha sido corregido en las versiones 3.2.10, 3.3.12 y 3.4.13."
}
],
"id": "CVE-2026-55059",
"lastModified": "2026-10-12T15:10:00.207",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-55059",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-27T14:30:07.974815Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-25T01:16:36.667",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/AcademySoftwareFoundation/openexr/security/advisories/GHSA-54cp-3rq6-7mq8"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/AcademySoftwareFoundation/openexr/security/advisories/GHSA-54cp-3rq6-7mq8"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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