CVE-2025-59425

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.

The following products are affected by CVE-2025-59425 vulnerability.

Here, you will find a curated list of external links that provide in-depth information to CVE-2025-59425.

URL	Resource
https://github.com/vllm-project/vllm/blob/4b946d693e0af15740e9ca9c0e059d5f333b1083/vllm/entrypoints/openai/api_server.py#L1270-L1274
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/security/advisories/GHSA-wr9h-g72x-mwhm
https://nvd.nist.gov/vuln/detail/CVE-2025-59425
https://www.cve.org/CVERecord?id=CVE-2025-59425