CVE-2025-48943
Last modified
CVE-2025-48943 is a medium-severity vulnerability rated 6.5/10 on the CVSS scale. vLLM is an inference and serving engine for large language models (LLMs). Version 0.8.0 up to but excluding 0.9.0 have a Denial of Service (ReDoS) that causes the vLLM server to crash if an invalid regex was provided while using structured output. EPSS estimates a 0.40% chance of exploitation in the next 30 days.
Description
vLLM is an inference and serving engine for large language models (LLMs). Version 0.8.0 up to but excluding 0.9.0 have a Denial of Service (ReDoS) that causes the vLLM server to crash if an invalid regex was provided while using structured output. This vulnerability is similar to GHSA-6qc9-v4r8-22xg/CVE-2025-48942, but for regex instead of a JSON schema. Version 0.9.0 fixes the issue.
Metrics
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Vllm | Vllm | >= 0.8.0, < 0.9.0 |
References
- https://github.com/vllm-project/vllm/issues/17313Issue Tracking
- https://github.com/vllm-project/vllm/pull/17623Issue Tracking, Patch
Timeline
- Published
- Last Modified
- Status
- Analyzed
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