Vulnerability-Lookup

GHSA-HJV9-2V6W-8WP3

Vulnerability from github – Published: 2022-05-13 01:12 – Updated: 2022-05-13 01:12

Details

A denial of service in the subtitle decoder in FFmpeg 3.2 and 4.1 allows attackers to hog the CPU via a crafted video file in Matroska format, because handle_open_brace in libavcodec/htmlsubtitles.c has a complex format argument to sscanf.

Severity

6.5 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2019-9721"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-03-12T09:29:00Z",
    "severity": "MODERATE"
  },
  "details": "A denial of service in the subtitle decoder in FFmpeg 3.2 and 4.1 allows attackers to hog the CPU via a crafted video file in Matroska format, because handle_open_brace in libavcodec/htmlsubtitles.c has a complex format argument to sscanf.",
  "id": "GHSA-hjv9-2v6w-8wp3",
  "modified": "2022-05-13T01:12:16Z",
  "published": "2022-05-13T01:12:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-9721"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FFmpeg/FFmpeg/commit/273f2755ce8635d42da3cde0eeba15b2e7842774"
    },
    {
      "type": "WEB",
      "url": "https://git.ffmpeg.org/gitweb/ffmpeg.git/commit/894995c41e0795c7a44f81adc4838dedc3932e65"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/3967-1"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/107384"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2019-9721 (GCVE-0-2019-9721)

Vulnerability from cvelistv5 – Published: 2019-03-12 06:00 – Updated: 2024-08-04 22:01

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
http://www.securityfocus.com/bid/107384	vdb-entryx_refsource_BID
https://git.ffmpeg.org/gitweb/ffmpeg.git/commit/8…	x_refsource_MISC
https://usn.ubuntu.com/3967-1/	vendor-advisoryx_refsource_UBUNTU
https://github.com/FFmpeg/FFmpeg/commit/273f2755c…	x_refsource_MISC

Date Public

2019-03-12 00:00

Show details on NVD website

JSON

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            "url": "https://git.ffmpeg.org/gitweb/ffmpeg.git/commit/894995c41e0795c7a44f81adc4838dedc3932e65"
          },
          {
            "name": "USN-3967-1",
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          },
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            "url": "https://github.com/FFmpeg/FFmpeg/commit/273f2755ce8635d42da3cde0eeba15b2e7842774"
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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.