CVE-2019-9718 (GCVE-0-2019-9718)

Vulnerability from cvelistv5 – Published: 2019-03-12 06:00 – Updated: 2024-08-04 22:01
VLAI
Summary
In FFmpeg 3.2 and 4.1, a denial of service in the subtitle decoder allows attackers to hog the CPU via a crafted video file in Matroska format, because ff_htmlmarkup_to_ass in libavcodec/htmlsubtitles.c has a complex format argument to sscanf.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
URL Tags
https://git.ffmpeg.org/gitweb/ffmpeg.git/commit/1… x_refsource_MISC
http://www.securityfocus.com/bid/107382 vdb-entryx_refsource_BID
https://usn.ubuntu.com/3967-1/ vendor-advisoryx_refsource_UBUNTU
https://seclists.org/bugtraq/2019/May/60 mailing-listx_refsource_BUGTRAQ
https://www.debian.org/security/2019/dsa-4449 vendor-advisoryx_refsource_DEBIAN
https://github.com/FFmpeg/FFmpeg/commit/23ccf3cab… x_refsource_MISC
Date Public
2019-03-12 00:00
Show details on NVD website
To clipboard 

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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

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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.



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.