MLflow <= 3.9.0 - Arbitrary File Read

mlflow mlflow = 3.9.0 contains a path traversal caused by bypassing source path validation via the mlflow.prompt.isprompt tag in CreateModelVersion request, letting unauthenticated remote attackers read arbitrary files. id: CVE-2026-2614 info: name: MLflow = 3.9.0 - Arbitrary File Read author:...

MLflow 3.10.0-3.16.1 - Arbitrary File Read

MLflow 3.10.0 through 3.16.1 contains a path traversal in the prompt branch of the CreateModelVersion handler. The fix for CVE-2026-2614 only validated prompt sources that carry a URL scheme, so a schemeless relative path such as ../../../etc is stored unchanged as the model version artifact...

WS-2026-0155

mlflow 3.10.0 - 3.16.1: the CreateModelVersion prompt branch validates the source only when it carries a URL scheme, so a schemeless relative path e.g. ../../etc is stored as the artifact location and served by get-artifact, giving unauthenticated arbitrary file read GHSA-m65p-9j7q-6w33...

CVE-2026-69148

A flaw was found in MLflow, an open-source AI engineering platform. Insufficient validation in the CreateModelVersion function allows an authenticated user to create a model version that references another user's artifact directory. This enables the authenticated user to read files from that...

VulnCheck KEV: CVE-2026-2614

A vulnerability in the createmodelversion handler of mlflow/server/handlers.py in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a CreateModelVersion request includes the tag...

BIT-MLFLOW-2026-69148 MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a runid or modelid after validatesourcerun or validatesourcemodel in mlflow/server/handlers.py verifies only path containment, allowing...

MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id

Summary The validatesourcerun and validatesourcemodel functions in mlflow/server/handlers.py verify that a model version source path is within the artifact directory of a specified run or logged model, but do not check whether the caller has READ permission on that run or model. An authenticated...

Missing Authorization

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...

CVE-2026-69148

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a runid or modelid after validatesourcerun or validatesourcemodel in mlflow/server/handlers.py verifies only path containment, allowing...

CVE-2026-2614: Improper Limitation of a Pathname to a Restricted Directory

A vulnerability in the createmodelversion handler of mlflow/server/handlers.py in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a CreateModelVersion request includes the tag...