Information Exposure 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.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-PYTHON-VLLM-18857112
- published16 Aug 2026
- disclosed13 Aug 2026
- creditDiego Meyer
Introduced: 13 Aug 2026
NewCVE-2026-73555 (opens in a new tab)How to fix?
Upgrade vllm to version 0.26.0 or higher.
Overview
vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs
Affected versions of this package are vulnerable to Information Exposure via the validation_exception_handler function. An attacker can obtain sensitive information such as operating system usernames, internal file paths, Python version, and internal package structure by sending unauthenticated malformed JSON requests to specific API endpoints.