CVE-2025-48943
CVE-2025-48943 · vLLM allows clients to crash the openai server with invalid regex
This page contains facts from public vulnerability sources. Check the original advisory before updating.
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.
CVSS 6.5 · Medium · EPSS 0.5% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
vllm
- Versions
- >= 0.8.0, < 0.9.0: Affected
No fix published
vllm PyPI
- Versions
- 0.8.0
- 0.8.1
- 0.8.2
- 0.8.3
- 0.8.4
- 0.8.5
- 0.8.5.post1
- Affected ranges
- ECOSYSTEM: ≥ 0.8.0, < 0.9.0
Update to 0.9.0
vllm PyPI
- Versions
- 0.8.0
- 0.8.1
- 0.8.2
- 0.8.3
- 0.8.4
- 0.8.5
- 0.8.5.post1
- Affected ranges
- GIT: < 08bf7840780980c7568c573c70a6a8db94fd45ff
- ECOSYSTEM: ≥ 0.8.0, < 0.9.0
Update to 0.9.0
Original sources
- https://github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j
- https://github.com/vllm-project/vllm/issues/17313
- https://github.com/vllm-project/vllm/pull/17623
- https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
- https://nvd.nist.gov/vuln/detail/CVE-2025-48943