CVEvulnerability
CVE-2025-48887
6.5 MEDIUM
Official page ↗
- Status
- Analyzed
- Published
- 2025-05-30
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-1333
Description
vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue.
Affected configurations
• vllm vllm (>= 0.6.4 < 0.9.0)
Related
Weakness · CWE (1)
- CWE-1333 Inefficient Regular Expression Complexity weakness
References
- https://github.com/vllm-project/vllm/commit/4fc1bf813ad80172c1db31264beaef7d93fe0601 Patch
- https://github.com/vllm-project/vllm/pull/18454 Issue Tracking, Patch
- https://github.com/vllm-project/vllm/security/advisories/GHSA-w6q7-j642-7c25 Exploit, Vendor Advisory
- https://github.com/vllm-project/vllm/security/advisories/GHSA-w6q7-j642-7c25 Exploit, Vendor Advisory