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.
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Fri, 30 May 2025 21:45:00 +0000
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Description | 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. | |
Title | vLLM’s Chunk-Based Prefix Caching Vulnerable to Potential Timing Side-Channel | |
Weaknesses | CWE-208 | |
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cvssV3_1
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Status: PUBLISHED
Assigner: GitHub_M
Published: 2025-05-29T16:32:42.794Z
Updated: 2025-05-29T18:05:10.768Z
Reserved: 2025-04-24T21:10:48.175Z
Link: CVE-2025-46570

Updated: 2025-05-29T18:05:04.545Z

Status : Awaiting Analysis
Published: 2025-05-29T17:15:21.327
Modified: 2025-05-30T16:31:03.107
Link: CVE-2025-46570
