AUGUST 25, 2026
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Case File

CVE-2026-12491

MEDIUM · CVSS 4.8 EPSS 0.24%

Source: NVD + CISA KEV + EPSS (historical backfill) · Published 2026-06-17 · Last synced 2026-08-04

CyberRota Analysis

This is a medium severity vulnerability with a CVSS score of 4.8. See the original NVD description below for full technical details.

CVE
CVE-2026-12491
Severity
MEDIUM
CVSS
4.8
EPSS
0.24%

Original NVD 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.