CVE-2025-48943

medium

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.

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j

https://github.com/vllm-project/vllm/pull/17623

https://github.com/vllm-project/vllm/issues/17313

https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff

Details

Source: Mitre, NVD

Published: 2025-05-30

Updated: 2025-05-30

Risk Information

CVSS v2

Base Score: 6.8

Vector: CVSS2#AV:N/AC:L/Au:S/C:N/I:N/A:C

Severity: Medium

CVSS v3

Base Score: 6.5

Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Severity: Medium

EPSS

EPSS: 0.00041