CVE-2025-46570
vLLM’s Chunk-Based Prefix Caching Vulnerable to Potential Timing Side-Channel
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
Exploitability
AV:NAttack VectorNetwork
AC:HAttack ComplexityHigh
PR:LPrivileges RequiredLow
UI:RUser InteractionRequired
Scope
S:UScopeUnchanged
Impact
C:LConfidentialityLow
I:NIntegrityNone
A:NAvailabilityNone
Weaknesses
Affected Products
vllm-project
oss-projectaka vllm, vllm-project/vllm
vLLM Project
oss-projectaka vllm
vllm
oss-projectaka aibrix
PyPI
package-ecosystem
Exploitability
Official Patch Available
Attack Graph
Products CVE Techniques Tactics
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MITRE ATT&CK
1 technique Discovery
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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