Weak Password Requirements Affecting mlflow package, versions [,2.19.0rc0)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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-9486737
- published21 Mar 2025
- disclosed20 Mar 2025
- creditkrishnast545
Introduced: 20 Mar 2025
CVE-2025-1474 (opens in a new tab)How to fix?
Upgrade mlflow to version 2.19.0rc0 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 the lack of enforcement on password creation during new user account setup. An attacker can gain unauthorized access to the system by exploiting accounts created without passwords.
PoC
Log in as an admin;
Navigate to the signup page;
Fill in the required fields (e.g., username) but leave the password field blank;
Submit the form to create the user.