Misinterpretation of Input Affecting tritonserver-backend-vllm-cuda-13.0 package, versions <25.11-r12


Severity

Recommended
0.0
medium
0
10

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Threat Intelligence

EPSS
0.24% (15th percentile)

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  • Snyk IDSNYK-CHAINGUARDLATEST-TRITONSERVERBACKENDVLLMCUDA130-19235337
  • published25 Aug 2026
  • disclosed17 Jun 2026

Introduced: 17 Jun 2026

CVE-2026-12491  (opens in a new tab)
CWE-115  (opens in a new tab)

How to fix?

Upgrade Chainguard tritonserver-backend-vllm-cuda-13.0 to version 25.11-r12 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream tritonserver-backend-vllm-cuda-13.0 package and not the tritonserver-backend-vllm-cuda-13.0 package as distributed by Chainguard. See How to fix? for Chainguard relevant fixed versions and status.

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.

CVSS Base Scores

version 3.1