CVE-2026-22801 (GCVE-0-2026-22801)
Vulnerability from cvelistv5 – Published: 2026-01-12 22:57 – Updated: 2026-01-13 19:37
VLAI
EPSS
VEX
Title
LIBPNG has an integer truncation causing heap buffer over-read in png_image_write_*
Summary
LIBPNG is a reference library for use in applications that read, create, and manipulate PNG (Portable Network Graphics) raster image files. From 1.6.26 to 1.6.53, there is an integer truncation in the libpng simplified write API functions png_write_image_16bit and png_write_image_8bit causes heap buffer over-read when the caller provides a negative row stride (for bottom-up image layouts) or a stride exceeding 65535 bytes. The bug was introduced in libpng 1.6.26 (October 2016) by casts added to silence compiler warnings on 16-bit systems. This vulnerability is fixed in 1.6.54.
Severity
6.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-13 19:37 UTC
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/pnggroup/libpng/security/advis… | x_refsource_CONFIRM |
Impacted products
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
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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.
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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.