| Component | vLLM |
| Severity | high (CVSS 7.5) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N |
| Published (NVD) | 2025-10-07 |
| Last modified | 2026-06-17 |
| Affected versions | vllm < 0.11.0 vllm = 0.11.0 |
| Fixed in | 0.11.0 |
| Weakness | CWE-385 |
| CISA KEV | not listed |
NVD description
vLLM is an inference and serving engine for large language models (LLMs). Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided API key gets correct. Data analysis across many attempts could allow an attacker to determine when it finds the next correct character in the key sequence. Deployments relying on vLLM's built-in API key validation are vulnerable to authentication bypass using this technique. Version 0.11.0rc2 fixes the issue.
What to do
- Upgrade vLLM to
0.11.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2025-59425
- https://github.com/vllm-project/vllm/security/advisories/GHSA-wr9h-g72x-mwhm
- https://github.com/vllm-project/vllm/commit/ee10d7e6ff5875386c7f136ce8b5f525c8fcef48
- https://github.com/vllm-project/vllm/releases/tag/v0.11.0
- https://github.com/vllm-project/vllm/blob/4b946d693e0af15740e9ca9c0e059d5f333b1083/vllm/entrypoints/openai/api_server.py#L1270-L1274
Read more
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