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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.

PUBLISHED Reserved 2026-06-17 | Published 2026-06-17 | Updated 2026-06-17 | Assigner redhat




MEDIUM: 4.8CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L

Problem types

Misinterpretation of Input

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Timeline

2026-06-17:Reported to Red Hat.
2026-06-10:Made public.

References

access.redhat.com/security/cve/CVE-2026-12491 vdb-entry

bugzilla.redhat.com/show_bug.cgi?id=2489786 (RHBZ#2489786) issue-tracking

cve.org (CVE-2026-12491)

nvd.nist.gov (CVE-2026-12491)

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