CVE-2026-22695 (GCVE-0-2026-22695)
Vulnerability from cvelistv5 – Published: 2026-01-12 22:55 – Updated: 2026-01-13 19:07
VLAI
EPSS
VEX
Title
LIBPNG has a heap buffer over-read in png_image_read_direct_scaled (regression from CVE-2025-65018 fix)
Summary
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 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.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-13 14:13 UTC
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/pnggroup/libpng/security/advis… | x_refsource_CONFIRM |
| https://github.com/pnggroup/libpng/issues/778 | x_refsource_MISC |
| https://github.com/pnggroup/libpng/commit/218612d… | x_refsource_MISC |
| https://github.com/pnggroup/libpng/commit/e4f7ad4ea2 | x_refsource_MISC |
Impacted products
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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.
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