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CVE-2023-1289 (GCVE-0-2023-1289)

Vulnerability from cvelistv5 – Published: 2023-03-23 00:00 – Updated: 2024-08-02 05:40
VLAI
Summary
A vulnerability was discovered in ImageMagick where a specially created SVG file loads itself and causes a segmentation fault. This flaw allows a remote attacker to pass a specially crafted SVG file that leads to a segmentation fault, generating many trash files in "/tmp," resulting in a denial of service. When ImageMagick crashes, it generates a lot of trash files. These trash files can be large if the SVG file contains many render actions. In a denial of service attack, if a remote attacker uploads an SVG file of size t, ImageMagick generates files of size 103*t. If an attacker uploads a 100M SVG, the server will generate about 10G.
Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CWE
  • CWE-20 - - Improper Input Validation
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a ImageMagick Affected: Fixed-in ImageMagick v7.1.1-0
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.