CVE•Published 2026-06-17•Modified 2026-07-07•0 articles on news•6 live references•NVD data

CVE-2026-12491

Vulnerability data via NVD (ingested)

CVSS v3.1
4.8
MEDIUM
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L
EPSS percentile
15
Exploit Prediction Scoring System · top 85% of all CVEs
Description

A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency (tRNS) data, during image processing. When images are converted to RGB, transparency information may be implicitly discarded or remapped, leading to unexpected rendering of transparent pixels and distortion of input content. This can result in the model misinterpreting image content, potentially affecting the integrity of processed data.

Timeline
Published 2026-06-17
Modified 2026-07-07

External references

Search for exposed instances

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More intel sources (5)

Known PoCs on GitHub (2)

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