A AegiFlow
HIGHCVSS 7.5EPSS 0.6%

CVE-2026-116690

CVE-2026-116690 updated by NVD

Published
2026-10-27
Modified
2026-10-30
EPSS percentile
46%
Sources
github-advisory, nvd

Summary

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

EcosystemPackageAffected versionsFixed versions
PyPImlflow—3.17.0

Remediation: Upgrade to 3.17.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.