CVE-2022-1210 (GCVE-0-2022-1210)

Vulnerability from cvelistv5 – Published: 2022-04-03 00:00 – Updated: 2025-04-15 14:42
VLAI
Title
LibTIFF tiff2ps resource consumption
Summary
A vulnerability classified as problematic was found in LibTIFF 4.3.0. Affected by this vulnerability is the TIFF File Handler of tiff2ps. Opening a malicious file leads to a denial of service. The attack can be launched remotely but requires user interaction. The exploit has been disclosed to the public and may be used.
Severity
4.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 17:14 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
unspecified LibTIFF Affected: 4.3.0
guessed Create a notification for this product.
Credits
mqrsv
Show details on NVD website
To clipboard 

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}



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Tags
Taxonomy of the tags.





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.



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.