Arbitrary Code Injection Affecting mlflow package, versions [,2.15.0)
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 applicationsSnyk Learn
Learn about Arbitrary Code Injection vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-PYTHON-MLFLOW-7577152
- published1 Aug 2024
- disclosed1 Aug 2024
- creditYuki Watanabe
Introduced: 1 Aug 2024
CVE NOT AVAILABLE CWE-94 (opens in a new tab)Common Weakness Enumeration (CWE) is a category system for software weaknesses
How to fix?
Upgrade mlflow to version 2.15.0 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 Arbitrary Code Injection due to the autologin method that allows injection of the MLflow callback into the user's callback list. This can lead to failures of predict_stream, ainvoke, astream, and abatch calls when configurations are specified.