Improper Validation of Array Index Affecting vllm package, versions [0.20.1,0.29.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-VLLM-21707823
- published25 Oct 2026
- disclosed25 Oct 2026
- creditmschwarzl
Introduced: 25 Oct 2026
NewCVE-2026-116181 (opens in a new tab)How to fix?
Upgrade vllm to version 0.29.0 or higher.
Overview
vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs
Affected versions of this package are vulnerable to Improper Validation of Array Index via the _validate_stop_token_ids method (absent before the fix) in vllm/sampling_params.py, where stop_token_ids supplied in a sampling request are not validated against the model's vocabulary size. An authenticated attacker can submit a request containing out-of-range token IDs in stop_token_ids, causing the server to crash when those IDs are used as column indices into the logits tensor.