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CVE-2025-46570

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

Published: May 29, 2025Updated: Jun 24, 2025 Sources: CVE List NVD GHSA BDUCWE-208
2.6LOW
NVD MITRE
EPSS Score
0.3%
Top 82.8%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
Not available

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.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:HPR:LUI:RS:UC:LI:NA:N
Exploitability
AV:NAttack Vector
Network
AC:HAttack Complexity
High
PR:LPrivileges Required
Low
UI:RUser Interaction
Required
Scope
S:UScope
Unchanged
Impact
C:LConfidentiality
Low
I:NIntegrity
None
A:NAvailability
None
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Weaknesses

CWE-208CWE-203

Affected Products

vllm-project
oss-projectaka vllm, vllm-project/vllm
vllmMixed
AI / ML / llm-serving-inference
vLLM Project
oss-projectaka vllm
vLLMMixed
AI / ML / llm-serving-inference
vllm
oss-projectaka aibrix
vllmMixed
AI / ML / llm-serving-inference
PyPI
package-ecosystem
vllm
OSS Libraries

Exploitability

Official Patch Available

Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

1 technique
Discovery
View detailed technique mapping

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-4qjh-9fv9-r85r
github.com
https://github.com/vllm-project/vllm/pull/17045
github.com
https://github.com/vllm-project/vllm/commit/77073c77bc2006eb80ea6d5128f076f5e6c6f54f
github.com
and 5 more references View all →

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