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CVE-2025-46570GHSA-4QJH-9FV9-R85RPYSEC-2025-53

vLLM’s Chunk-Based Prefix Caching Vulnerable to Potential Timing Side-Channel

Published
Last modified
published
Not listed in CISA KEV
Fix
Fixed in 0.9.0
None on Exploit-DB, Metasploit or GitHub
  • Exploitation: none
  • Automatable: no
  • Technical impact: partial

Summary

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.

Timeline

  1. CVE published
  2. CISA SSVC assessment

    Exploitation: none · Automatable: no · Technical impact: partial

  3. Record last updated

Affected versions

  • vllm-project vllm

    fixed in 0.9.0

  • vllmPyPI

    fixed in 0.9.0

References 3

GitHub · vllm-project/vllm