Vulnerability · Published May 29, 2025 · Assigned by GitHub_M

CVE-2025-46570vLLM’s Chunk-Based Prefix Caching Vulnerable to Potential Timing Side-Channel

Low 2.6

In plain English

A low-severity security flaw in vllm from vllm-project. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 37% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)2.6Low
Exploit odds (30 days)0.4%top 62.6% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPIvllm0.9.0GHSA-4qjh-9fv9-r85r
PyPIvllm0.9.0PYSEC-2025-53

Affected products (as reported)

VendorProductVersions
vllm-project vllm < 0.9.0

Weakness: CWE-208 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N

References