MLflow up to 3.17.x FileStore model_id path traversal

Summaryinfo

A vulnerability identified as problematic has been detected in MLflow up to 3.17.x. This vulnerability affects unknown code of the component FileStore. This manipulation of the argument model_id causes path traversal. This vulnerability is tracked as CVE-2026-127202. The attack is possible to be carried out remotely. No exploit exists. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in MLflow up to 3.17.x. It has been declared as problematic. Affected by this vulnerability is some unknown functionality of the component FileStore. The manipulation of the argument model_id with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. As an impact it is known to affect integrity. The summary by CVE is:

MLflow before 3.18.0 using the FileStore backend contains a path traversal vulnerability that allows unauthenticated remote attackers to write files outside the intended run directory by supplying a malicious model_id parameter to the log outputs API. Attackers can exploit the unvalidated model_id containing ../ sequences via the POST /api/3.0/mlflow/runs/outputs endpoint to create directories and write a meta.yaml file at arbitrary filesystem locations, limited only by the server account's permissions. FileStore was the default backend before 3.7.0 and is opt-in afterward through MLFLOW_ALLOW_FILE_STORE.

The advisory is shared at github.com. This vulnerability is known as CVE-2026-127202 since 11/12/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1006 for this issue.

Upgrading to version 3.18.0 eliminates this vulnerability.

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Productinfo

Name

• MLflow

Version

• 3.0
• 3.1
• 3.2
• 3.3
• 3.4
• 3.5
• 3.6
• 3.7
• 3.8
• 3.9
• 3.10
• 3.11
• 3.12
• 3.13
• 3.14
• 3.15
• 3.16
• 3.17

Website

• Product: https://github.com/mlflow/mlflow/

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Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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