Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:HSummary
CVE-2026-22695 is a medium-severity Out-of-bounds Read (CWE-125) vulnerability in Libpng Libpng. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 7th 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 SA-8 (Security and Privacy Engineering Principles) — 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-2026-22695 is a heap buffer over-read vulnerability in the libpng library, a reference implementation for reading, creating, and manipulating PNG raster image files. The issue affects versions 1.6.51 through 1.6.53 and occurs in the simplified API function png_image_finish_read when processing interlaced 16-bit PNG images with an 8-bit output format and non-minimal row stride. This flaw represents a regression introduced by the fix for CVE-2025-65018 and is classified under CWE-125 (Out-of-bounds Read), with a CVSS v3.1 base score of 6.1.
An attacker with local access can exploit this vulnerability by supplying a specially crafted PNG image, requiring low attack complexity and user interaction, such as convincing a user to process the malicious file through an application linked to the affected libpng versions. No privileges are needed. Successful exploitation results in low confidentiality impact, such as limited data disclosure from the heap, and high availability impact, potentially causing application crashes or denial of service.
The libpng project addressed this vulnerability in version 1.6.54, as detailed in the associated GitHub security advisory (GHSA-mmq5-27w3-rxpp), issue tracker (#778), and fix commits (218612ddd6b17944e21eda56caf8b4bf7779d1ea and e4f7ad4ea2). Security practitioners should prioritize updating dependent applications and libraries to libpng 1.6.54 or later to mitigate the risk.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-2420
Vulnerability Data
LIBPNG is a reference library for use in applications that read, create, and manipulate PNG (Portable Network Graphics) raster image files. From 1.6.51 to 1.6.53, there is a heap buffer over-read in the libpng simplified API function png_image_finish_read when processing…
more
interlaced 16-bit PNGs with 8-bit output format and non-minimal row stride. This is a regression introduced by the fix for CVE-2025-65018. This vulnerability is fixed in 1.6.54.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation directly finds out-of-bounds read flaws through static analysis, fuzzing, and dynamic bounds checks.
Secure engineering principles require bounds checking and memory-safe constructs that stop out-of-bounds reads from being introduced.
Process isolation confines the effects of an out-of-bounds read to the compromised process.
Input validation rejects malformed indices or lengths that would otherwise cause reads outside buffer bounds.
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 such as bounds checking and memory-safe languages directly prevent out-of-bounds reads.
Vulnerability scanning and recording can discover instances of out-of-bounds reads after code is deployed.
Routine patching replaces vulnerable code containing out-of-bounds read flaws.
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 includes fuzzing and static analysis that detect out-of-bounds read defects before release.
Logging can record evidence of an out-of-bounds read but does not prevent the weakness itself.
Secure development life cycle mandates input validation and bounds checking that directly prevent out-of-bounds reads.
Application security requirements include explicit bounds and memory-safety specifications that mitigate buffer over-reads.
Secure system architecture and engineering principles require memory-safe design patterns and runtime protections against out-of-bounds access.
Secure coding standards explicitly forbid unsafe pointer arithmetic and mandate bounds-checked reads, eliminating CWE-125.