CVE-2026-69148
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.
What this means for your business
- An attacker can use it remotely, over a network, with an ordinary user login, and without anyone at your company clicking anything.
- FIRST's prediction model gives it a 0.2% chance of attack attempts being seen in the next 30 days, ranking above 12% of all known flaws.
What to do
- 1Ask your IT team or provider whether any of your systems use the affected product.
- 2If you do, follow the vendor's guidance. No patch reference has been published yet.
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Scoring
- CVSS
- 7.1 (v3.1)
- Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N- Weakness
- CWE-862
- Assigned by
- security-advisories@github.com
Dates
- Published
- 2026-08-17
- Last modified
- 2026-09-18
- Sources
- NVD
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