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CVE-2026-56375 (GCVE-0-2026-56375)

Vulnerability from cvelistv5 – Published: 2026-07-15 11:25 – Updated: 2026-07-15 12:21
VLAI
Title
ImageMagick - Memory Leak in ASHLAR Coder Action Failure
Summary
ImageMagick through 7.1.2-18 contains a memory leak vulnerability in the ASHLAR coder when an action fails. Attackers can trigger failed actions to exhaust memory resources and cause denial of service.
Severity
4.8 (Medium)
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
3.3 (Low)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 12:20 UTC
CWE
  • CWE-401 - Missing Release of Memory after Effective Lifetime
Assigner
References
Impacted products
Vendor Product Version CPE status
ImageMagick ImageMagick Affected: 0 , ≤ 7.1.2-18 (semver)
    cpe:2.3:a:imagemagick:imagemagick:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-03-24 00:00
Credits
unbengable12
Show details on NVD website
To clipboard 

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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.


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.