CVE-2025-62372
Medium
Description
vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape (e.g. hidden dimension is wrong), regardless of whether the model is intended to support such inputs (as defined in the Supported Models page). This issue has been patched in version 0.11.1.
SeverityMedium
CVSS6.5
Exploit probability—
ProductVllm
PublishedNov 21, 2025
First seenNov 21, 2025
Weakness typeCWE-129CWE-129
How to fix
Update
- vllm vllm0.11.1 or later
- vllm0.11.1 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| vllm vllm | 0.5.5 ≤ v < 0.11.1, 0.11.1 | 0.11.1 |
| vllmPyPI | 0.5.5 ≤ v < 0.11.1 | 0.11.1 |
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