CVE-2025-15381 Unauthorized Access to Tracing and Assessment Endpoints in mlflow/mlflow

High 8.1 Published Updated

Authenticated users can bypass permission checks to read trace data and create assessments in MLflow when basic-auth is enabled.

Exploited in the wild
Not known
Login needed
Any signed-in user
Attackable
Over the internet
Victim action needed
Not needed
Fix
Available

What is CVE-2025-15381?

CVE-2025-15381 is a high-severity missing authorization vulnerability in Lfprojects Mlflow, published on 27 Mar 2026. Any signed-in user can exploit it over the network, with no action from the victim.

Official description

In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.

Weakness: CWE-425, CWE-200

Which versions are affected by CVE-2025-15381?

3 open source packages ship an affected version, including mlflow. It affects 1 product.

PackageAffectedFixed in
mlflow PyPIAll versions to 3.8.1None
mlflow PyPIAll versions to 3.8.1None
mlflow PyPIAll versions to 3.8.1None

Products include Lfprojects Mlflow.

How do I fix CVE-2025-15381?

Apply the vendor's patch.

Upgrade, and check permissions on every request on the server, not only in the interface. More about Missing authorization.

Is CVE-2025-15381 being exploited?

There is no known exploitation of CVE-2025-15381 in the wild and no public exploit code.

All Lfprojects Mlflow vulnerabilities

Sources

Also known as CLSA-2026-1790340259, GHSA-g6pg-52vf-843h, PYSEC-2026-2657.

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