Staging Environment: Content and features may be unstable or change without notice.
Advisory details: pypa / vllm/PYSEC-2025-55
Advisory ID pypa/vllm/PYSEC-2025-55
Aliases CVE-2025-48943
GHSA-9hcf-v7m4-6m2j
PYSEC-2025-55
Summary 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.
Status Published
Exploitability 0.5
Weighted Severity 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (0)
There are no known CWE.
System Score Found at
There are no known severity scores.
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
There are no known vectors.

Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-05-30T18:54:23Z/

Decision: Track

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/48xxx/CVE-2025-48943.json

Source Advisory: vulnrichment/CVE-2025-48943

View SSVC decision tree
[{'Exploitation': 'none'},
 {'Automatable': 'no'},
 {'Technical Impact': 'partial'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]