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CVE-2025-48943

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Date: May 30, 2025

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.

Severity Score

Related Resources (8)

https://github.com/vllm-project/vllm/issues/17313
https://github.com/vllm-project/vllm/pull/17623
https://nvd.nist.gov/vuln/detail/CVE-2025-48943
https://github.com/vllm-project/vllm
https://github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j
https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-55.yaml
https://www.mend.io/vulnerability-database/CVE-2025-48943

Severity Score

Weakness Type (CWE)

Uncaught Exception

CWE-248

Top Fix

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): LOW
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): NONE
Integrity (I): NONE
Availability (A): HIGH

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