VulnerabilityAnalyzed

CVE-2025-46570

vLLM is an inference and serving engine for large language models (LLMs).

LOW 2.6EPSS 0.29%

Does this matter?

Lower severity and a low EPSS score (0.29%). Track it; it rarely justifies an emergency change on its own.

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.

CVSS 3.1: 2.6 LOWCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N
EPSS: 0.29% probability · 22th percentile
CISA KEV: Not listed
Weakness: CWE-208, CWE-203
Affected: vllm/vllm
Source: security-advisories@github.com

References

https://github.com/vllm-project/vllm/commit/77073c77bc2006eb80ea6d5128f076f5e6c6f54fPatch
https://github.com/vllm-project/vllm/pull/17045Issue Tracking, Vendor Advisory
https://github.com/vllm-project/vllm/security/advisories/GHSA-4qjh-9fv9-r85rVendor Advisory

Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.