Executive Summary
| Informations | |||
|---|---|---|---|
| Name | CVE-2025-48942 | First vendor Publication | 2025-05-30 |
| Vendor | Cve | Last vendor Modification | 2025-06-02 |
Security-Database Scoring CVSS v3
| Cvss vector : N/A | |||
|---|---|---|---|
| Overall CVSS Score | NA | ||
| Base Score | NA | Environmental Score | NA |
| impact SubScore | NA | Temporal Score | NA |
| Exploitabality Sub Score | NA | ||
| Calculate full CVSS 3.0 Vectors scores | |||
Security-Database Scoring CVSS v2
| Cvss vector : | |||
|---|---|---|---|
| Cvss Base Score | N/A | Attack Range | N/A |
| Cvss Impact Score | N/A | Attack Complexity | N/A |
| Cvss Expoit Score | N/A | Authentication | N/A |
| Calculate full CVSS 2.0 Vectors scores | |||
Detail
| 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. |
Original Source
| Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-48942 |
CWE : Common Weakness Enumeration
| % | Id | Name |
|---|---|---|
| 100 % | CWE-248 | Uncaught Exception |
Sources (Detail)
Alert History
| Date | Informations |
|---|---|
| 2025-06-03 00:20:34 |
|
| 2025-05-31 00:20:32 |
|
