Improper Validation of Array Index Affecting vllm package, versions [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-20044429
- published22 Sept 2026
- disclosed20 Sept 2026
- creditUnknown
Introduced: 20 Sep 2026
NewCVE-2026-93989 (opens in a new tab)How to fix?
A fix was pushed into the master branch but not yet published.
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 SamplingParams.update_from_tokenizer(), which fails to validate bad_words token indices against the model's generation output width. An authenticated attacker can supply out-of-bounds token indices that corrupt the logits memory of concurrent requests, causing other in-flight HTTP requests to receive incorrect tokens in their responses.