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CVE-2026-100652 Details

Description

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.

Metrics

CVSS 3.x Severity and Vector Strings:

NIST: [email protected]CVSS-B:7.5 HIGHVector:CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

CNA: [email protected]CVSS-B:5.9 MEDIUMVector:CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References to Advisories, Solutions, and Tools

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URL	Source(s)	Tag(s)
https://github.com/vllm-project/vllm/security/advisories/GHSA-qff2-492f-9fm4	[email protected]	ExploitMitigationVendor Advisory
https://www.vulncheck.com/advisories/vllm-0.22.0-through-0.23.0-denial-of-service-via-stop-token-ids	[email protected]	Third Party Advisory

Weakness Enumeration

CWE-ID	CWE Name	Source
CWE-20	Improper Input Validation	[email protected]

Affected Products

Product	Versions
vllm vllm	>= 0.22.0, < 0.24.0
CPE cpe:2.3:a:vllm:vllm:::::::: Remediation No remediation found in references.

Change History

3 change records found show changes

Date	Action	Recorded By
Oct 6, 2026	Initial Analysis	[email protected]
Sep 28, 2026	CVE Modified	CISA-ADP
Sep 26, 2026	New CVE Received	[email protected]