mediumCVSS 4.8Vulnerability

GHSA-x8xr-mj9x-6h7w

## Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-8jr5-v98p-w75m. This link is maintained to preserve external references. ## Original 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.

Properties

ghsa_id
GHSA-x8xr-mj9x-6h7w
severity
medium
summary
Duplicate Advisory: image EXIF Rotation & PNG tRNS Transparency Not Normalized, Causing Mismatch Between Model Input and Expectations
cvss_score
4.8
cve_id
GHSA-x8xr-mj9x-6h7w
cvss_vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L
is_ghsa_only
true
ghsa_published
2026-06-17T18:35:47Z
source_url
https://github.com/advisories/GHSA-x8xr-mj9x-6h7w
ghsa_updated
2026-06-18T14:31:36Z

Related Entities (4)

AFFECTS (1)

[Software]pip/vllm

HAS_WEAKNESS (1)

[Weakness]Misinterpretation of Input

REPORTED_BY (1)

[Source]GitHub Advisory Database

VULNERABLE_TO (1)

[Software]pip/vllm

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GHSA-x8xr-mj9x-6h7w (CVSS 4.8) — Ninja Signal Threat Intelligence | Ninja Signal