Vulnerability-Lookup

GHSA-P2V8-4C4F-RWPQ

Vulnerability from github – Published: 2026-07-22 18:32 – Updated: 2026-07-22 18:32

Details

FFmpeg versions 4.4 through 8.1.2 contain an out-of-bounds memory access vulnerability in the ADX audio decoder within libavcodec/adxdec.c that allows attackers to trigger both out-of-bounds reads and writes by supplying a crafted ADX or AAX audio file with a mid-stream channel layout change. When AV_PKT_DATA_NEW_EXTRADATA side data is received mid-stream, the adx_decode_frame function re-parses the stream header but fails to update the internal channel state, causing subsequent decoding operations to access the prev[] state array using a stale channel count.

Severity

8.8 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

8.7 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-64835"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-22T18:17:05Z",
    "severity": "HIGH"
  },
  "details": "FFmpeg versions 4.4 through 8.1.2 contain an out-of-bounds memory access vulnerability in the ADX audio decoder within libavcodec/adxdec.c that allows attackers to trigger both out-of-bounds reads and writes by supplying a crafted ADX or AAX audio file with a mid-stream channel layout change. When AV_PKT_DATA_NEW_EXTRADATA side data is received mid-stream, the adx_decode_frame function re-parses the stream header but fails to update the internal channel state, causing subsequent decoding operations to access the prev[] state array using a stale channel count.",
  "id": "GHSA-p2v8-4c4f-rwpq",
  "modified": "2026-07-22T18:32:40Z",
  "published": "2026-07-22T18:32:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64835"
    },
    {
      "type": "WEB",
      "url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/1836ef96846937a6cc2443698a693104f5c0b21e"
    },
    {
      "type": "WEB",
      "url": "https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23659"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/ffmpeg-out-of-bounds-memory-access-in-adx-audio-decoder"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/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",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-64835 (GCVE-0-2026-64835)

Vulnerability from cvelistv5 – Published: 2026-07-22 17:24 – Updated: 2026-07-28 01:06 X_Open Source

Title

FFmpeg 4.4 - 8.1.2 Out-of-Bounds Memory Access in ADX Audio Decoder

Summary

Severity

8.7 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

8.8 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-23 13:46 UTC

CWE

CWE-787 - Out-of-bounds Write

Assigner

VulnCheck mitre root

References

3 references

URL	Tags
https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/23659	issue-tracking
https://code.ffmpeg.org/FFmpeg/FFmpeg/commit/1836…	patch
https://www.vulncheck.com/advisories/ffmpeg-out-o…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
FFmpeg	FFmpeg	Affected: 4.4 , ≤ 8.1.2 (custom) Affected: 1836ef96846937a6cc2443698a693104f5c0b21e (git) cpe:2.3:a:ffmpeg:ffmpeg:::::::: cpe:2.3:a:ffmpeg:ffmpeg::::::::

Date Public

2026-07-02 00:00

Credits

Pavel Kohout, Aisle Research

Show details on NVD website

JSON

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                "id": "CVE-2026-64835",
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                "role": "CISA Coordinator",
                "timestamp": "2026-07-23T13:46:23.991548Z",
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          "shortName": "CISA-ADP"
        },
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    ],
    "cna": {
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          "defaultStatus": "affected",
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          "repo": "https://code.ffmpeg.org/FFmpeg/FFmpeg",
          "vendor": "FFmpeg",
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              "versionType": "git"
            }
          ]
        }
      ],
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                {
                  "criteria": "cpe:2.3:a:ffmpeg:ffmpeg:*:*:*:*:*:*:*:*",
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                  "versionStartIncluding": "4.4",
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                },
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    "datePublished": "2026-07-22T17:24:05.477Z",
    "dateReserved": "2026-07-20T18:27:48.161Z",
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}

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.

Detection rules are retrieved from Rulezet.

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.

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.