Improper Handling of Highly Compressed Data (Data Amplification) 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-17372794
- published18 Jun 2026
- disclosed17 Jun 2026
- creditRTV
Introduced: 17 Jun 2026
NewCVE-2026-54233 (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 Handling of Highly Compressed Data (Data Amplification) through the audio.py file. An attacker can cause excessive memory consumption by uploading a specially crafted compressed audio file that decompresses to a very large size, leading to resource exhaustion and potential service disruption.