CVE-2026-12491
Medium
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.
SeverityMedium
CVSS4.8
Exploit probability—
ProductVllm
PublishedJun 17, 2026
First seenJun 17, 2026
Weakness typeCWE-115CWE-115
How to fix
Update
- vllm0.24.0 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| vllmPyPI | 0.11.0 ≤ v < 0.24.0, 0.11.0 ≤ v ≤ 0.23.0 | 0.24.0 |
Check your version
Choose the product and enter the version you run to see whether it falls in the affected range.
In the Intelligence 360 plan
Attack Surface Management
See the assets tied to your domains, the technologies they run and known vulnerabilities in one list.