CVE-2026-116690: MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source
Vulnerability summary
CVE-2026-116690 is a high (CVSS 7.5) Path Traversal vulnerability in mlflow.
Timeline
- 27-10-2026PublishedVulnerability first disclosed.
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.
CVSS metrics
3 scores · 3 sources · 1 version- NVDNIST7.5HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- OSV · PypiEcosystem advisory · calculated7.5HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS trend
No EPSS score has been published for this record yet.
Known exploited
Compare KEV catalogsNot in the CISA KEV catalog.
Not in the ENISA CNW catalog.
Not in the CIRCL catalog.
Public exploits
0 foundNo public exploits indexed.
Weaknesses
CWE · root causeAffected systems
Mlflow1 product
- mlflow≥ 3.10.0, < 3.17.0
PyPI1 product
- mlflow≥ 3.10.0, < 3.17.0
2 vendors · 2 products
References
5 links- github.com/mlflow/mlflowPACKAGE