Advisory details:
pypa / vllm/PYSEC-2025-54
| Advisory ID | pypa/vllm/PYSEC-2025-54 |
| Aliases |
CVE-2025-48942
GHSA-6qc9-v4r8-22xg PYSEC-2025-54 |
| Summary | vLLM is an inference and serving engine for large language models (LLMs). In versions 0.8.0 up to but excluding 0.9.0, hitting the /v1/completions API with a invalid json_schema as a Guided Param kills the vllm server. This vulnerability is similar GHSA-9hcf-v7m4-6m2j/CVE-2025-48943, 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:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-05-30T20:36:50Z/
Decision: Track
Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/48xxx/CVE-2025-48942.json
Source Advisory: vulnrichment/CVE-2025-48942
[{'Exploitation': 'poc'},
{'Automatable': 'no'},
{'Technical Impact': 'partial'},
{'Mission Prevalence': 'minimal'},
{'Public Well-being Impact': 'material'},
{'Mission & Well-being': 'medium'}]