Inefficient Algorithmic Complexity Affecting vllm package, versions [0.26.0,]
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-19883594
- published17 Sept 2026
- disclosed16 Sept 2026
- creditUnknown
Introduced: 16 Sep 2026
NewCVE-2026-92365 (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 Inefficient Algorithmic Complexity in the thinking_budget_state.py file. An attacker can cause excessive resource consumption by submitting specially crafted input that triggers inefficient processing.