MLflow allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem

A vulnerability in the `_create_model_version()` handler of `mlflow/server/handlers.py` in mlflow/mlflow versions 3.9.0 and earlier allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The issue arises when a `CreateModelVersion` request includes the tag `mlflow.prompt.is_prompt`, which bypasses source path validation. This enables an attacker to store an arbitrary local filesystem path as the model version source. The `get_model_version_artifact_handler()` function later uses this source to serve files without verifying the model version's prompt status, leading to a complete confidentiality compromise. This issue is fixed in version 3.10.0.

CVSS 3.0

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Severity from

GitHub (reviewed advisory)

Weakness

CWE-22

Also known as

BIT-mlflow-2026-2614, CVE-2026-2614, PYSEC-2026-2654

• nvd.nist.gov/vuln/detail/CVE-2026-2614
• github.com/mlflow/mlflow/commit/6e801f4259d96804c73107315b24cef0f6aa115a
• github.com/mlflow/mlflow
• huntr.com/bounties/19380271-3fbf-4beb-987e-6fd7069c55e6