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CVE-2025-48887

vLLM has a Regular Expression Denial of Service (ReDoS, Exponential Complexity) Vulnerability in `pythonic_tool_parser.py`

Published: May 30, 2025Updated: Jun 19, 2025 Sources: CVE List NVD GHSA BDUCWE-1333
6.5MEDIUM
NVD MITRE
EPSS Score
0.4%
Top 63.5%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
Not available

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.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:LUI:NS:UC:NI:NA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:NIntegrity
None
A:HAvailability
High
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Weaknesses

CWE-1333

Affected Products

vllm
oss-projectaka aibrix
vllmMixed
AI / ML / llm-serving-inference
PyPI
package-ecosystem
vllm
OSS Libraries
vllm-project
oss-projectaka vllm-project/vllm, vllm
vllmMixed
AI / ML / llm-serving-inference
vLLM Project
oss-projectaka vllm
vLLMMixed
AI / ML / llm-serving-inference

Exploitability

Official Patch Available

Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

1 technique
Impact
View detailed technique mapping

References

https://github.com/vllm-project/vllm/commit/4fc1bf813ad80172c1db31264beaef7d93fe0601
github.com
https://github.com/vllm-project/vllm/pull/18454
github.com
https://github.com/vllm-project/vllm/security/advisories/GHSA-w6q7-j642-7c25
github.com
and 5 more references View all →

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