CVE-2026-12491
CWE-115Published: June 17, 2026· Updated: Jun 17, 2026
Official 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.
Technical Analysis
CVE-2026-12491 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.
The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.
CVSS v3.1 Vector Breakdown
Exploit & PoC Resources
All References (2)
Quick Facts
Related CVEs (CWE-115)
Recommended Actions
- →Apply vendor patches immediately
- →Monitor CVE-2026-12491 in threat intel feeds
- →Review IDS/IPS signatures for exploitation attempts