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CVE-2026-48994 ImageMagick CVE debrief

CVE-2026-48994 is a MEDIUM severity vulnerability in ImageMagick, a free and open-source software used for editing and manipulating digital images. Prior to versions 6.9.13-48 and 7.1.2-24, a missing check of a return value could lead to a heap buffer over-write in the MAT decoder on 32-bit systems. This issue has been patched in versions 6.9.13-48 and 7.1.2-24.

Vendor
ImageMagick
Product
Unknown
CVSS
MEDIUM 5.9
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-10
Original CVE updated
2026-06-11
Advisory published
2026-06-10
Advisory updated
2026-06-11

Who should care

Users of ImageMagick, especially those using versions prior to 6.9.13-48 and 7.1.2-24, should be aware of this vulnerability and take steps to update their installations.

Technical summary

The vulnerability is caused by a missing check of a return value in the MAT decoder, which could lead to a heap buffer over-write on 32-bit systems. The CVSS score for this vulnerability is 5.9, with a severity rating of MEDIUM.

Defensive priority

MEDIUM

Recommended defensive actions

  • Update ImageMagick to version 6.9.13-48 or 7.1.2-24 or later.
  • Review and apply patches as described in [ref-4](https://github.com/ImageMagick/ImageMagick/security/advisories/GHSA-4v89-6mgq-6rgc).

Evidence notes

The CVE record [cve-org] and NVD detail [nvd] provide additional information about this vulnerability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-48994 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-48994

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-48994 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-48994

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.