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CVE-2026-62343 (GCVE-0-2026-62343)

Vulnerability from cvelistv5 – Published: 2026-07-29 23:57 – Updated: 2026-07-30 13:56
VLAI
Title
ImageMagick: Heap Buffer Over-Write in morphology operation when an invalid kernel is provided
Summary
ImageMagick is free and open-source software used for editing and manipulating digital images. In versions prior to 6.9.13-51 and 7.0.1-0 and above prior to 7.1.2-26, an invalid kernel can cause a heap buffer over-write when performing a morphology operation with a user supplied kernel. This issue has been fixed in versions 6.9.13-51 and 7.1.2-26.
Severity
4.7 (Medium)
CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-30 13:56 UTC
CWE
  • CWE-190 - Integer Overflow or Wraparound
Assigner
References
Impacted products
Vendor Product Version CPE status
ImageMagick ImageMagick Affected: < 6.9.13-51
Affected: >= 7.0.1-0, < 7.1.2-26
guessed Create a notification for this product.
Show details on NVD website
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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.
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  • 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.


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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.