Authorization Bypass Through User-Controlled Key Affecting mlflow package, versions [,3.14.0)
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.
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- published3 Jul 2026
- disclosed28 Jun 2026
- creditDem00
Introduced: 28 Jun 2026
NewCVE-2026-13484 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.14.0 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 Authorization Bypass Through User-Controlled Key in the Experiment-scoped Label Schema CRUD API due to missing authorization checks. An attacker can gain unauthorized access or manipulate data by sending crafted requests to the affected API endpoints. This is only exploitable if the deployment is configured within the OpenShift AI environment and the Experiment-scoped Label Schema CRUD API is exposed.