- CVSS
- HIGH · 7.1v3.1CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
- Published
- 2026-08-17
- Weakness
- CWE-862
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-69148
Description
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.
References
- https://github.com/mlflow/mlflow/commit/4bb7474771c3be808cd9e129defef9305f2869be
- https://github.com/mlflow/mlflow/pull/24293
- https://github.com/mlflow/mlflow/releases/tag/v3.15.0
- https://github.com/mlflow/mlflow/security/advisories/GHSA-gqch-g4w5-7qcw
- https://github.com/mlflow/mlflow/security/advisories/GHSA-gqch-g4w5-7qcw
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-69148 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.