Weak Password Requirements Affecting mlflow package, versions [,2.22.0rc0)
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-MLFLOW-13774639
- published30 Oct 2025
- disclosed29 Oct 2025
- creditPeter Girnus
Introduced: 29 Oct 2025
NewCVE-2025-11200 (opens in a new tab)How to fix?
Upgrade mlflow to version 2.22.0rc0 or higher.
Overview
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Weak Password Requirements due to allowing password strings shorter than 12 characters. An attacker can gain unauthorized access by supplying weak credentials that bypass standard security checks.