CVE-2025-48887
MEDIUM EPSS 34.2%
Published May 30, 20251y ago · Modified Jun 17, 20261w ago
6.5 CVSS 3.1
Published May 30, 2025 1y ago
Last Modified Jun 17, 2026 1w ago
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.
CVSS Details
Base Score
Exploitability
Impact
Vector string
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Attack Vector Network
Attack Complexity Low
Privileges Required Low
User Interaction None
Scope Unchanged
Confidentiality None
Integrity None
Availability High
Threat Intelligence
EPSS Exploit Probability
34.2% percentile
Exploit & Patch Status
Public Exploit Known
Patch Available
Weaknesses 1
CWE-1333
Affected Products 1
| Vendor | Product | Version | Range |
|---|---|---|---|
| vllm | vllm | * | ≥0.6.4 – <0.9.0 |
References 3
- github.com 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
Remediation
- github.com https://github.com/vllm-project/vllm/commit/4fc1bf813ad80172c1db31264beaef7d93fe0601
- github.com https://github.com/vllm-project/vllm/pull/18454