mediumCVSS 6.5NVD status: Analyzed

CVE-2025-62426

vLLM is an inference and serving engine for large language models (LLMs).

ComponentvLLM
Severitymedium (CVSS 6.5)
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Published (NVD)2025-11-21
Last modified2026-06-17
Affected versions
vllm >= 0.5.5, < 0.11.1
vllm = 0.11.1
vllm = 0.11.1
Fixed in0.11.1
WeaknessCWE-770
CISA KEVnot 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, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1.

Does CVE-2025-62426 hit the version you run?Paste your docker-compose.yml, requirements.txt or package.json. The scanner checks your pinned versions against this CVE and every other one we track for vLLM.
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What to do

  • Upgrade vLLM to 0.11.1 or later.
  • Do not expose the component's API or UI to the internet without authentication in front of it.

Sources

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