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...

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

NPM: MLflow: CreateModelVersion source validation does not check READ permission on referenced runid vulnerability discovered by ? in WordPress Npm mlflow versions 3.15.0...

MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

Summary When MLflow is deployed with the built-in basic-auth plugin --app-name basic-auth, any authenticated user can inject arbitrary dataset records into another user's run by calling POST /api/2.0/mlflow/runs/log-inputs. The LogInputs proto handler is absent from the BEFOREREQUESTHANDLERS map ...

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 LogInputs and LogOutputs endpoints,...

NPM: MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

NPM: MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth vulnerability discovered by ? in WordPress Npm mlflow versions 3.15.0...

GHSA-3P64-6GVH-82V5 MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

Summary When MLflow is deployed with the built-in basic-auth plugin --app-name basic-auth, any authenticated user can inject arbitrary dataset records into another user's run by calling POST /api/2.0/mlflow/runs/log-inputs. The LogInputs proto handler is absent from the BEFOREREQUESTHANDLERS map ...

GHSA-7GWP-5PFP-969J MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)

Summary The default MLflow Tracking Server mlflow server, no authentication, default SQLite backend exposes the model-registry webhooks API unauthenticated, including a synchronous POST /api/2.0/mlflow/webhooks/id/test endpoint that returns the upstream response status and body to the caller. The...

Server-side Request Forgery (SSRF)

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 Server-side Request Forgery SSRF via a DNS rebinding attack agains...

MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)

Summary The default MLflow Tracking Server mlflow server, no authentication, default SQLite backend exposes the model-registry webhooks API unauthenticated, including a synchronous POST /api/2.0/mlflow/webhooks/id/test endpoint that returns the upstream response status and body to the caller. The...

CVE-2026-69146 MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFOREREQUESTHANDLERS in the mlflow/server/auth package, allowing any authenticated user to call POST /api/2.0/mlflow/runs/log-inputs...

CVE-2026-69146 MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFOREREQUESTHANDLERS in the mlflow/server/auth package, allowing any authenticated user to call POST /api/2.0/mlflow/runs/log-inputs...

EUVD-2026-60475

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFOREREQUESTHANDLERS in the mlflow/server/auth package, allowing any authenticated user to call POST /api/2.0/mlflow/runs/log-inputs...

CVE-2026-69146 MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFOREREQUESTHANDLERS in the mlflow/server/auth package, allowing any authenticated user to call POST /api/2.0/mlflow/runs/log-inputs...

CVE-2026-69146

In MLflow versions 3.13.0–3.15.0, LogInputs is missing from BEFORE_REQUEST_HANDLERS in the auth package, letting any authenticated user inject attacker-controlled DatasetInput records into another user's run lineage via POST /api/2.0/mlflow/runs/log-inputs without UPDATE permission. Fixed in 3.15...

CVE-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...

EUVD-2026-60474

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-2026-69148

In MLflow versions prior to 3.15.0, the CreateModelVersion handler in mlflow/server/handlers.py validates only path containment via _validate_source_run() or _validate_source_model(), omitting READ permission checks. An authenticated user can reference another user's artifact directory and read f...

CVE-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...

CVE-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...