Vulnerability 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.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Vllm | Vllm | >= 0.8.0, < 0.9.0 |
Related Weaknesses (CWE)
References
- https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fdPatch
- https://github.com/vllm-project/vllm/issues/17313Issue Tracking
- https://github.com/vllm-project/vllm/pull/17623Issue TrackingPatch
- https://github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2jVendor Advisory
FAQ
What is CVE-2025-48943?
CVE-2025-48943 is a vulnerability with a CVSS score of 6.5 (MEDIUM). 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 re...
How severe is CVE-2025-48943?
CVE-2025-48943 has been rated MEDIUM with a CVSS base score of 6.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2025-48943?
Check the references section above for vendor advisories and patch information. Affected products include: Vllm Vllm.