Improper Validation of Specified Type of Input 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-17372795
- published18 Jun 2026
- disclosed17 Jun 2026
- creditMartin Brodeur
Introduced: 17 Jun 2026
NewCVE-2026-54235 (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 Specified Type of Input due to improper validation of the temperature parameter while sampling. An attacker can cause the inference worker to crash or exhibit undefined behavior by supplying non-finite float values such as NaN or Infinity, which bypass validation and propagate to GPU kernels.