Access Control Bypass Affecting mlflow package, versions [,3.10.0)
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.
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 Access Control Bypass vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-PYTHON-MLFLOW-16787326
- published21 May 2026
- disclosed21 May 2026
- creditgalanzi2580-wq
Introduced: 21 May 2026
NewCVE-2026-2734 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.10.0 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 Access Control Bypass via the SearchModelVersions REST API endpoint and the mlflowSearchModelVersions GraphQL query. An attacker can access sensitive information, including model names, version descriptions, source URIs, tags, and other metadata, by sending authenticated requests that bypass intended authorization checks.
Note:
This is only exploitable if basic authentication is enabled and per-model authorization is expected in a multi-tenant environment.