mlflow · mlflow
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.
First seen exploited 1 day after disclosure.
No ATT&CK techniques are linked to this CVE yet. MITRE CTID has not mapped it, and no report passage in the corpus ties it to a technique.
1 package in 1 ecosystem. Main package: mlflow.
Upgrade to 3.17.0 or later
Fixes this CVE and 4 other known vulnerabilities in this package (CVE-2026-115886, CVE-2026-116692, +2).
pip install "mlflow>=3.17.0"The first fix for CVE-2026-116690.
| If you run | Upgrade to |
|---|---|
| 3.10.0 up to 3.17.0 | 3.17.0 |
“Up to” means the second version is the fix and is not affected.
Pulses are indicator collections that anyone can publish. A mention is not confirmation of exploitation.