CVE-2025-46570
2.6
Vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N
Exploitability: 1.2 / Impact: 1.4
Source: security-advisories@github.com (Secondary)
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 (1)
Related CWEs
CWE-203
Observable Discrepancy
The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not.
CWE-208
Observable Timing Discrepancy
Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not.
References (3)
Source: security-advisories@github.com
Patch
Source: security-advisories@github.com
Issue TrackingVendor Advisory
Source: security-advisories@github.com
Vendor Advisory
Timeline
No history available yet.