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CVE-2022-0545 (GCVE-0-2022-0545)

Vulnerability from cvelistv5 – Published: 2022-02-24 18:27 – Updated: 2024-08-02 23:32
VLAI
Summary
An integer overflow in the processing of loaded 2D images leads to a write-what-where vulnerability and an out-of-bounds read vulnerability, allowing an attacker to leak sensitive information or achieve code execution in the context of the Blender process when a specially crafted image file is loaded. This flaw affects Blender versions prior to 2.83.19, 2.93.8 and 3.1.
Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
Assigner
References
URL Tags
https://developer.blender.org/T94629 x_refsource_MISC
https://lists.debian.org/debian-lts-announce/2022… mailing-listx_refsource_MLIST
https://www.debian.org/security/2022/dsa-5176 vendor-advisoryx_refsource_DEBIAN
Impacted products
Vendor Product Version CPE status
n/a Blender Affected: Blender versions prior to 2.83.19, 2.93.8 and 3.1
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.