Vulnerability-Lookup

GHSA-6F6X-VFC5-5GWM

Vulnerability from github – Published: 2022-05-13 01:12 – Updated: 2025-04-20 03:48

Details

The read_header function in libavcodec/ffv1dec.c in FFmpeg 2.4 and 3.3.4 and possibly earlier allows remote attackers to have unspecified impact via a crafted MP4 file, which triggers an out-of-bounds read.

Severity

8.8 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2017-15672"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-11-06T17:29:00Z",
    "severity": "HIGH"
  },
  "details": "The read_header function in libavcodec/ffv1dec.c in FFmpeg 2.4 and 3.3.4 and possibly earlier allows remote attackers to have unspecified impact via a crafted MP4 file, which triggers an out-of-bounds read.",
  "id": "GHSA-6f6x-vfc5-5gwm",
  "modified": "2025-04-20T03:48:04Z",
  "published": "2022-05-13T01:12:17Z",
  "references": [
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      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-15672"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FFmpeg/FFmpeg/commit/d893253fcd93d11258e98857175e93be7d158708"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/01/msg00006.html"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2017/dsa-4049"
    },
    {
      "type": "WEB",
      "url": "http://git.videolan.org/?p=ffmpeg.git%3Ba=commitdiff%3Bh=c20f4fcb74da2d0432c7b54499bb98f48236b904"
    },
    {
      "type": "WEB",
      "url": "http://git.videolan.org/?p=ffmpeg.git;a=commitdiff;h=c20f4fcb74da2d0432c7b54499bb98f48236b904"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2017/11/03/4"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/101690"
    }
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  "severity": [
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      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-15672 (GCVE-0-2017-15672)

Vulnerability from cvelistv5 – Published: 2017-11-06 17:00 – Updated: 2024-08-05 19:57

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2322 records in the last 180 days details

References

6 references

URL	Tags
http://www.securityfocus.com/bid/101690	vdb-entryx_refsource_BID
http://git.videolan.org/?p=ffmpeg.git%3Ba=commitd…	x_refsource_CONFIRM
http://www.openwall.com/lists/oss-security/2017/11/03/4	mailing-listx_refsource_MLIST
https://lists.debian.org/debian-lts-announce/2019…	mailing-listx_refsource_MLIST
https://www.debian.org/security/2017/dsa-4049	vendor-advisoryx_refsource_DEBIAN
https://github.com/FFmpeg/FFmpeg/commit/d893253fc…	x_refsource_MISC

Date Public

2017-11-03 00:00

Show details on NVD website

JSON

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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.

Vulnerability timeline

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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.
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