AI Threat Alert
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...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| vllm | pip | >= 0.8.0, < 0.9.0 | 0.9.0 |
| vllm | pip | — | No patch |
Severity & Risk
Recommended Action
Patch available
Update vllm to version 0.9.0
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD 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.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H References
- github.com/advisories/GHSA-9hcf-v7m4-6m2j
- github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-55.yaml
- github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
- github.com/vllm-project/vllm/issues/17313
- github.com/vllm-project/vllm/pull/17623
- github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j
- nvd.nist.gov/vuln/detail/CVE-2025-48943
- github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff Patch
- github.com/vllm-project/vllm/issues/17313 Issue
- github.com/vllm-project/vllm/pull/17623 Issue Patch
- github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j Vendor