Vulnerability in Vllm

CVE-2025-48887

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.

Vulnerability class: ReDoS (Regular Expression Denial of Service)

EPSS: 0.004 (35.0th percentile) — read the EPSS interpretation.

CVSS v3 metric

CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2025-48887?
CVE-2025-48887 is a medium-severity vulnerability in Vllm, classified under Inefficient Regular Expression Complexity. CVSS score: 6.5/10. Published 2025-05-30.
How severe is CVE-2025-48887?
Medium severity. CVSS v3 base score is 6.5 out of 10.
Is CVE-2025-48887 known to be exploited?
1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.