Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2026-23876 is a high-severity Heap-based Buffer Overflow (CWE-122) vulnerability in Imagemagick Imagemagick. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 45th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-23876, published on 2026-01-20, is a heap buffer overflow vulnerability (CWE-122, CWE-190) in the XBM image decoder function ReadXBMImage within ImageMagick, an open-source software suite for editing and manipulating digital images. The flaw affects versions prior to 7.1.2-13 and 6.9.13-38, allowing an attacker to write controlled data past the allocated heap buffer when processing a maliciously crafted XBM image file. It carries a CVSS v3.1 base score of 8.1 (AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H) and can be triggered by any ImageMagick operation that reads or identifies an image.
An unauthenticated remote attacker (PR:N) can exploit this vulnerability by supplying a malicious XBM image to a target system running vulnerable ImageMagick, such as through common image upload and processing pipelines in web applications or media handlers. Exploitation requires high attack complexity (AC:H) but can result in high-impact confidentiality, integrity, and availability compromises (C:H/I:H/A:H), potentially enabling arbitrary code execution or system crashes depending on the controlled data written beyond the heap buffer.
Mitigation is provided by upgrading to ImageMagick versions 7.1.2-13 or 6.9.13-38, which include fixes for the issue. The ImageMagick GitHub security advisory (GHSA-r49w-jqq3-3gx8) and the patching commit (2fae24192b78fdfdd27d766fd21d90aeac6ea8b8) offer additional technical details on the resolution.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-3589
Vulnerability Data
ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to versions 7.1.2-13 and 6.9.13-38, a heap buffer overflow vulnerability in the XBM image decoder (ReadXBMImage) allows an attacker to write controlled data past the allocated…
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heap buffer when processing a maliciously crafted image file. Any operation that reads or identifies an image can trigger the overflow, making it exploitable via common image upload and processing pipelines. Versions 7.1.2-13 and 6.9.13-38 fix the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and memory-error detectors) can discover heap overflows after they have been coded.
Input validation enforces bounds checking on data written to heap buffers, directly stopping the overflow condition from being introduced.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Security engineering principles require use of memory-safe constructs and bounds-checked allocation routines that avoid introducing heap overflows.
Memory-protection mechanisms limit the ability of a heap overflow to execute attacker-controlled code or corrupt adjacent structures.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure-development practices directly require bounds checking and safe memory handling that prevent heap overflows.
Vulnerability scanning and recording can discover heap-overflow flaws but does not prevent their introduction in code.
Timely patching removes known heap-overflow instances after they exist.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development and acceptance can detect heap overflows before release.
Secure development lifecycle mandates practices that reduce the likelihood of introducing heap overflows.
Application security requirements can specify bounds-checking and safe memory APIs that mitigate heap overflows.
Secure architecture and engineering principles include memory-safety and input-validation controls that address heap overflows.
Secure coding standards directly prescribe techniques (safe functions, bounds checks) that prevent heap-based buffer overflows.
Change management can enforce review gates that catch unsafe memory operations before deployment.