Bug 2517654 (CVE-2026-69148)

Summary: CVE-2026-69148 mlflow: MLflow: Information disclosure via insufficient validation in CreateModelVersion
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: high Docs Contact:
Priority: high    
Version: unspecifiedCC: ilpinto, ltomasbo, ykashtan
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Hardware: All   
OS: Linux   
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A flaw was found in MLflow, an open-source AI engineering platform. Insufficient validation in the `CreateModelVersion` function allows an authenticated user to create a model version that references another user's artifact directory. This enables the authenticated user to read files from that directory without the necessary read permissions, leading to unauthorized information disclosure.
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Description OSIDB Bzimport 2026-08-17 21:31:56 UTC 
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a run_id or model_id after _validate_source_run() or _validate_source_model() in mlflow/server/handlers.py verifies only path containment, allowing authenticated users to create a model version that references another user's artifact directory and read files through GET /model-versions/get-artifact without the required READ permission. This issue is fixed in version 3.15.0.