MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source

Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in...

GHSA-M65P-9J7Q-6W33 MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source

Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in...

CVE-2026-116690

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in createmodelversion accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and...

EUVD-2026-111362

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in createmodelversion accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and...

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-2024-1558

A path traversal vulnerability exists in the "createmodelversion" function within "server/handlers.py" of the mlflow/mlflow repository, due to improper validation of the "source" parameter. Attackers can exploit this vulnerability by crafting a "source" parameter that bypasses the...