Misinterpretation of Input Affecting vllm-wheels package, versions *


Severity

Recommended
0.0
medium
0
10

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Threat Intelligence

EPSS
0.24% (15th percentile)

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  • Snyk IDSNYK-MINIMOSLATEST-VLLMWHEELS-17378747
  • published19 Jun 2026
  • disclosed17 Jun 2026

Introduced: 17 Jun 2026

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

How to fix?

There is no fixed version for Minimos:latest vllm-wheels.

NVD Description

Note: Versions mentioned in the description apply only to the upstream vllm-wheels package and not the vllm-wheels package as distributed by Minimos. See How to fix? for Minimos:latest 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