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 |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| There are no known severity scores. | ||
No EPSS data available for this advisory.
| Patch URL | |
|---|---|
| There are no known patches. | |
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
[{'Exploitation': 'none'},
{'Automatable': 'no'},
{'Technical Impact': 'partial'},
{'Mission Prevalence': 'minimal'},
{'Public Well-being Impact': 'material'},
{'Mission & Well-being': 'medium'}]