Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2025-48943 | 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). 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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-48943 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-248 | Uncaught Exception |
Sources (Detail)
Alert History
Date | Informations |
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2025-06-03 00:20:34 |
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2025-05-31 00:20:32 |
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