Memory Allocation with Excessive Size Value 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-20044436
- published22 Sept 2026
- disclosed21 Sept 2026
- creditUnknown
Introduced: 21 Sep 2026
NewCVE-2026-94626 (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 Memory Allocation with Excessive Size Value via the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, which is not validated before use. An unauthenticated attacker can supply an arbitrary tp_size value in prefill/decode disaggregated deployments, causing unbounded memory allocation that exhausts available memory and triggers a kernel OOM-kill of the decode worker process.