CVE-2015-6818 (GCVE-0-2015-6818)

Vulnerability from cvelistv5 – Published: 2015-09-06 01:00 – Updated: 2024-08-06 07:29
VLAI
Summary
The decode_ihdr_chunk function in libavcodec/pngdec.c in FFmpeg before 2.7.2 does not enforce uniqueness of the IHDR (aka image header) chunk in a PNG image, which allows remote attackers to cause a denial of service (out-of-bounds array access) or possibly have unspecified other impact via a crafted image with two or more of these chunks.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://www.ubuntu.com/usn/USN-2944-1 vendor-advisoryx_refsource_UBUNTU
https://lists.debian.org/debian-lts-announce/2018… mailing-listx_refsource_MLIST
http://www.securitytracker.com/id/1033483 vdb-entryx_refsource_SECTRACK
http://git.videolan.org/?p=ffmpeg.git%3Ba=commit%… x_refsource_CONFIRM
http://ffmpeg.org/security.html x_refsource_CONFIRM
Date Public
2015-07-18 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.