Missing Authorization Affecting mlflow package, versions [,3.15.0)
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 applicationsSnyk Learn
Learn about Missing Authorization vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-PYTHON-MLFLOW-18912230
- published18 Aug 2026
- disclosed17 Aug 2026
- creditGeorge Chen
Introduced: 17 Aug 2026
NewCVE-2026-69148 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.15.0 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 Missing Authorization via the CreateModelVersion endpoint, which previously only required UPDATE permission on the destination registered model without verifying READ permission on the source run or model. An authenticated attacker can point the source field of a new model version at another user's run or model artifact directory, then read those artifacts through their own registered model, bypassing artifact-read access controls on the source resource.