CVE-2025-46570
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.
Published:May 29, 2025
Last Modified:Jun 24, 2025
EPS:May 29, 2025
EPSS Score:0.00036
CVSS Score:2.6
Affected Products
Vendor
Product
Action
Vendor
Vllm
Product
Vllm
Vllm
Vllm
Vendor
Vllm-project
Product
Vllm
Vllm-project
Vllm
Exploits
No exploit reference
Common Weakness Enumeration
Common Attack Pattern Enumeration and Classification (CAPEC)
Related CVEs
Common Vulnerability Scoring System
Attack Vector
Network
Adjacent
Local
Physical
Privileges Required
None
Low
High
User Interaction
None
Required
Scope
Unchanged
Changed
Confidentiality
None
Low
High
Integrity
None
Low
High
Availability
None
Low
High
