Executive Summary
Informations | |||
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Name | CVE-2025-48944 | 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 version 0.8.0 up to but excluding 0.9.0, the vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference worker with a single request. The worker will remain down until it is restarted. Version 0.9.0 fixes the issue. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-48944 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-20 | Improper Input Validation |
Sources (Detail)
Source | Url |
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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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