mediumCVSS 6.5NVD status: Analyzed

CVE-2025-48944

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)2025-05-30
Last modified2026-06-17
Affected versions
vllm >= 0.8.0, < 0.9.0
Fixed in0.9.0
WeaknessCWE-20
CISA KEVnot listed

NVD description

vLLM is an inference and serving engine for large language models (LLMs). In version 0.8.0 up to but excluding 0.9.0, the vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference worker with a single request. The worker will remain down until it is restarted. Version 0.9.0 fixes the issue.

Does CVE-2025-48944 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 0.9.0 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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