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Github Security Blog
Github Security Blog
•added 2026/10/27 9:26 p.m.•3 views

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

Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in...

7.5CVSS7.2AI score0.03691EPSS
SaveExploits1References5Affected Software1
osv_ghsa
osv_ghsa
•added 2026/10/27 9:26 p.m.•2 views

GHSA-M65P-9J7Q-6W33 MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source

Summary On MLflow tracking servers running without authentication, which is the default for mlflow server, a remote attacker can read arbitrary files from the server’s filesystem by creating a model version tagged as a prompt whose source is a schemeless local path. The fix for CVE-2026-2614 in...

7.5CVSS7.1AI score
SaveExploits0References5
Cvelist
Cvelist
•added 2026/10/27 7:42 p.m.•8 views

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

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 createmodelversion accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and...

7.5CVSS
SaveExploits0References4
CVE
CVE
•added 2026/10/27 7:42 p.m.•9 views

CVE-2026-116690

The MLflow AI engineering platform (versions 3.10.0 through 3.17.0) is vulnerable to an arbitrary file read due to improper path validation in the _create_model_version() function. The prompt branch incorrectly accepts schemeless relative sources because validation is only triggered when a URL sc...

7.5CVSS7.2AI score
SaveExploits0References4
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