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CVE-2026-100652
Published:September 26, 2026
Updated:October 10, 2026
vLLM versions 0.22.0 through 0.23.0 fail to validate stop_token_ids against vocabulary bounds in Rust HTTP and gRPC frontends, allowing out-of-vocabulary token IDs to reach MinTokensLogitsProcessor. Attackers can submit requests with min_tokens greater than zero and out-of-vocabulary stop_token_ids to trigger CUDA tensor indexing failures that leave EngineCore in a fatal state requiring service restart.
Affected Packages
vllm (CONDA):
Affected version(s) =0.23.0 <0.24.0
Fix Suggestion:
Update to version 0.24.0
https://github.com/vllm-project/vllm.git (GITHUB):
Affected version(s) >=v0.22.0rc1 <v0.24.0
Fix Suggestion:
Update to version v0.24.0
vllm (PYTHON):
Affected version(s) >=0.22.0 <0.24.0
Fix Suggestion:
Update to version 0.24.0
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CVSS v4
Base Score:
8.2
Attack Vector
NETWORK
Attack Complexity
HIGH
Attack Requirements
PRESENT
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
5.9
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
HIGH
Weakness Type (CWE)
Improper Input Validation
EPSS
Base Score:
0.36