CVE-2017-8310 (GCVE-0-2017-8310)

Vulnerability from cvelistv5 – Published: 2017-05-23 21:00 – Updated: 2024-08-05 16:34
VLAI
Summary
Heap out-of-bound read in CreateHtmlSubtitle in VideoLAN VLC 2.2.x due to missing check of string termination allows attackers to read data beyond allocated memory and potentially crash the process (causing a denial of service) via a crafted subtitles file.
CWE
  • Allows attacker to read data beyond allocated memory and potentially crash the process (causing a denial of service)
References
URL Tags
https://security.gentoo.org/glsa/201707-10 vendor-advisoryx_refsource_GENTOO
http://www.securityfocus.com/bid/98638 vdb-entryx_refsource_BID
http://git.videolan.org/?p=vlc/vlc-2.2.git%3Ba=bl… x_refsource_CONFIRM
http://www.debian.org/security/2017/dsa-3899 vendor-advisoryx_refsource_DEBIAN
Impacted products
Vendor Product Version CPE status
VideoLAN VLC Affected: 2.2.*
guessed Create a notification for this product.
Date Public
2017-04-06 00:00
Show details on NVD website

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}



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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

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.

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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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