Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2025-46570 | First vendor Publication | 2025-05-29 |
Vendor | Cve | Last vendor Modification | 2025-05-29 |
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). Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). These timing differences caused by matching chunks are significant enough to be recognized and exploited. This issue has been patched in version 0.9.0. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-46570 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
100 % | CWE-208 | Timing Discrepancy Information Leak |
Sources (Detail)
Alert History
Date | Informations |
---|---|
2025-05-29 21:20:34 |
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