Vulnerability-Lookup

GHSA-5CMQ-34WW-75F4

Vulnerability from github – Published: 2022-05-17 03:34 – Updated: 2025-04-12 12:42

Details

The raw_decode function in libavcodec/rawdec.c in FFMpeg before 2.1.6, 2.2.x through 2.3.x, and 2.4.x before 2.4.4 allows remote attackers to cause a denial of service (out-of-bounds heap access) and possibly have other unspecified impact via a crafted .cine file that triggers the avpicture_get_size function to return a negative frame size.

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{
  "affected": [],
  "aliases": [
    "CVE-2014-9318"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2014-12-09T23:59:00Z",
    "severity": "HIGH"
  },
  "details": "The raw_decode function in libavcodec/rawdec.c in FFMpeg before 2.1.6, 2.2.x through 2.3.x, and 2.4.x before 2.4.4 allows remote attackers to cause a denial of service (out-of-bounds heap access) and possibly have other unspecified impact via a crafted .cine file that triggers the avpicture_get_size function to return a negative frame size.",
  "id": "GHSA-5cmq-34ww-75f4",
  "modified": "2025-04-12T12:42:43Z",
  "published": "2022-05-17T03:34:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2014-9318"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201603-06"
    },
    {
      "type": "WEB",
      "url": "https://www.ffmpeg.org/security.html"
    },
    {
      "type": "WEB",
      "url": "http://git.videolan.org/?p=ffmpeg.git%3Ba=commit%3Bh=1d3a3b9f8907625b361420d48fe05716859620ff"
    },
    {
      "type": "WEB",
      "url": "http://git.videolan.org/?p=ffmpeg.git;a=commit;h=1d3a3b9f8907625b361420d48fe05716859620ff"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2014-9318 (GCVE-0-2014-9318)

Vulnerability from cvelistv5 – Published: 2014-12-09 22:52 – Updated: 2024-08-06 13:40

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2349 records in the last 180 days details

References

3 references

URL	Tags
https://security.gentoo.org/glsa/201603-06	vendor-advisoryx_refsource_GENTOO
http://git.videolan.org/?p=ffmpeg.git%3Ba=commit%…	x_refsource_CONFIRM
https://www.ffmpeg.org/security.html	x_refsource_CONFIRM

Date Public

2014-11-26 00:00

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            ],
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          },
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          },
          {
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              "x_refsource_CONFIRM",
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            ],
            "url": "https://www.ffmpeg.org/security.html"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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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.
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.

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