| Component | vLLM |
| Severity | medium (CVSS 6.5) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| Published (NVD) | 2025-11-21 |
| Last modified | 2026-06-17 |
| Affected versions | vllm >= 0.5.5, < 0.11.1 vllm = 0.11.1 vllm = 0.11.1 |
| Fixed in | 0.11.1 |
| Weakness | CWE-129 |
| CISA KEV | not listed |
NVD 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.
What to do
- Upgrade vLLM to
0.11.1or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2025-62372
- https://github.com/vllm-project/vllm/pull/27204
- https://github.com/vllm-project/vllm/security/advisories/GHSA-pmqf-x6x8-p7qw
- https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b
- https://github.com/vllm-project/vllm/pull/6613
Read more
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