Vulnerability · Published Oct 27, 2026 · Assigned by GitHub_M

CVE-2026-116690MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

High 7.5

In plain English

A high-severity path traversal in mlflow from mlflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 1.8% (higher than 79% of all known vulnerabilities). Ready-made attack tooling exists: Nuclei. Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.5High
Exploit odds (30 days)1.8%top 21.4% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack tooling1Nuclei

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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPImlflow3.17.0GHSA-m65p-9j7q-6w33

Affected products (as reported)

VendorProductVersions
mlflow mlflow >= 3.10.0, < 3.17.0

Weakness: CWE-22 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

References