CVE-2025-48943

MEDIUM EPSS 31.9%
Published May 30, 20251y ago · Modified Jun 17, 20261w ago
6.5 CVSS 3.1
Medium
Find Similar
Published May 30, 2025 1y ago
Last Modified Jun 17, 2026 1w ago

Description

vLLM is an inference and serving engine for large language models (LLMs). Version 0.8.0 up to but excluding 0.9.0 have a Denial of Service (ReDoS) that causes the vLLM server to crash if an invalid regex was provided while using structured output. This vulnerability is similar to GHSA-6qc9-v4r8-22xg/CVE-2025-48942, but for regex instead of a JSON schema. Version 0.9.0 fixes the issue.

CVSS Details

Base Score
6.5
Exploitability
2.8
Impact
3.6
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
31.9% percentile
Exploit & Patch Status
No Known Exploit
Patch Available

Weaknesses 1

CWE-248

Affected Products 1

VendorProductVersionRange
vllmvllm*≥0.8.0  –  <0.9.0

References 4

  • github.com https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
    Patch
  • github.com https://github.com/vllm-project/vllm/issues/17313
    Issue Tracking
  • github.com https://github.com/vllm-project/vllm/pull/17623
    Issue TrackingPatch
  • github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j
    Vendor Advisory

Remediation

  • github.com https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
    Patch
  • github.com https://github.com/vllm-project/vllm/pull/17623
    Issue TrackingPatch