Improper input validation in Vllm
CVE-2025-48944
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.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
EPSS: 0.004 (36.8th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Vllm
- Vllm-project Vllm — versions >= 0.8.0, < 0.9.0
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Vendor Advisory)
- security-advisories@github.com (x_refsource_MISC, Issue Tracking, Vendor Advisory)
Frequently asked questions
- What is CVE-2025-48944?
- CVE-2025-48944 is a medium-severity vulnerability in Vllm, classified under Improper Input Validation. CVSS score: 6.5/10. Published 2025-05-30.
- How severe is CVE-2025-48944?
- Medium severity. CVSS v3 base score is 6.5 out of 10.