FKIE_CVE-2026-65706
Vulnerability from fkie_nvd - Published: 2026-07-23 20:17 - Updated: 2026-10-24 15:10
Severity
Summary
FFmpeg versions 3.0 through 8.1.2 contain an out-of-bounds write vulnerability in the vf_swaprect video filter that allows attackers to corrupt heap memory by supplying a crafted NV12 video frame with odd width dimensions. The filter_frame() function reuses a temporary row buffer sized for plane 0's single-byte pixel step across all planes, causing an 18-byte memcpy into a 17-byte heap allocation when processing the two-byte-per-sample interleaved chroma plane of a 17x16 NV12 frame, resulting in heap corruption and process crash with potential for code execution.
References
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"product": "FFmpeg",
"repo": "https://code.ffmpeg.org/FFmpeg/FFmpeg",
"vendor": "FFmpeg",
"versions": [
{
"lessThanOrEqual": "8.1.2",
"status": "affected",
"version": "3.0",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "a7e38b617b32f996beaa371bbf04b39907d7a527",
"versionType": "git"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:ffmpeg:ffmpeg:*:*:*:*:*:*:*:*",
"matchCriteriaId": "41AC229F-883E-4FFA-9249-6C3D0A51B7D0",
"versionEndIncluding": "8.1.2",
"versionStartIncluding": "3.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "FFmpeg versions 3.0 through 8.1.2 contain an out-of-bounds write vulnerability in the vf_swaprect video filter that allows attackers to corrupt heap memory by supplying a crafted NV12 video frame with odd width dimensions. The filter_frame() function reuses a temporary row buffer sized for plane 0\u0027s single-byte pixel step across all planes, causing an 18-byte memcpy into a 17-byte heap allocation when processing the two-byte-per-sample interleaved chroma plane of a 17x16 NV12 frame, resulting in heap corruption and process crash with potential for code execution."
},
{
"lang": "es",
"value": "FFmpeg versiones 3.0 hasta 8.1.2 contienen una vulnerabilidad de escritura fuera de l\u00edmites en el filtro de video vf_swaprect que permite a los atacantes corromper la memoria del heap al proporcionar un fotograma de video NV12 manipulado con dimensiones de ancho impares. La funci\u00f3n filter_frame() reutiliza un b\u00fafer de fila temporal dimensionado para el paso de p\u00edxeles de un solo byte del plano 0 a trav\u00e9s de todos los planos, causando un memcpy de 18 bytes en una asignaci\u00f3n de heap de 17 bytes al procesar el plano de croma entrelazado de dos bytes por muestra de un fotograma NV12 de 17x16, lo que resulta en corrupci\u00f3n del heap y ca\u00edda del proceso con potencial para la ejecuci\u00f3n de c\u00f3digo."
}
],
"id": "CVE-2026-65706",
"lastModified": "2026-10-24T15:10:00.190",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"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"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-65706",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-23T00:00:00+00:00",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-23T20:17:22.257",
"references": [
{
"source": "disclosure@vulncheck.com",
"tags": [
"Patch"
],
"url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/a7e38b617b32f996beaa371bbf04b39907d7a527"
},
{
"source": "disclosure@vulncheck.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23779"
},
{
"source": "disclosure@vulncheck.com",
"tags": [
"Third Party Advisory"
],
"url": "https://www.vulncheck.com/advisories/ffmpeg-vf-swaprect-out-of-bounds-write-via-nv12-frame-processing"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-131"
},
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.