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

[ Description ]Official description

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 _create_model_version() accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and mlflow.prompt.is_prompt is interpreted by tag presence rather than a true value. A remote caller can store a server-local path as the model version artifact location and use /api/2.0/mlflow/model-versions/get-artifact to read files accessible to the MLflow server process. Default unauthenticated servers require no privileges, while basic-auth deployments are exposed to authenticated users who can create registered models. This issue is fixed in version 3.17.0.

[ Fixes ]Fixes and patches

• mlflow 3.17.0Fixed version · GitHub Advisories · pip package mlflow: upgrade to 3.17.0 or later (affected >= 3.10.0, < 3.17.0)

[ Advisories ]Government CERT advisories

• BSI CERT-Bund12 Oct 2026WID-SEC-2026-3875

  MLflow: Multiple vulnerabilities allow information disclosure Translated from German

  CVE-2026-116691CVE-2026-116690

[ Packages ]Affected open-source packages

• mlflow pipAffected >= 3.10.0, < 3.17.0 · fixed in 3.17.0 · GHSA-m65p-9j7q-6w33

[ References ]References

• github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772
• github.com/mlflow/mlflow/pull/25870
• github.com/mlflow/mlflow/releases/tag/v3.17.0
• github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33