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CVE-2025-48887: vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Den…

Occurred
May 30, 2025
Published
May 30, 2025
Source
NVD CVE

Summary

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.

Tags

  • CVE
  • CVE-2025-48887
  • cvss:MEDIUM

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: CVE in vLLM LLM serving engine causing DoS via ReDoS vulnerability in tool parser.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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