Vulnerability · Published Sep 26, 2026 · Assigned by VulnCheck

CVE-2026-100652vLLM 0.22.0 through 0.23.0 Denial of Service via stop_token_ids

Medium 5.9

In plain English

A medium-severity improper input validation in vllm from vllm-project. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 36% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.9Medium

Exploit odds (30 days)0.4%top 63.5% of all CVEs

Exploited in the wildNo reportsCISA SSVC: none

Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

Ecosystem	Package	Fixed in	Advisory
PyPI	vllm	0.24.0	PYSEC-2026-4185

Affected products (as reported)

Vendor	Product	Versions
vllm-project	vllm	0.22.0 – before 0.24.0

Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

References

GitHub Security Advisory (GHSA-qff2-492f-9fm4) vendor-advisory
VulnCheck Advisory: vLLM 0.22.0 through 0.23.0 Denial of Service via stop_token_ids third-party-advisory