MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.
Fixes

Solution

No solution given by the vendor.


Workaround

No workaround given by the vendor.

History

Fri, 19 Sep 2025 15:30:00 +0000

Type Values Removed Values Added
First Time appeared Monai medical Open Network For Ai
CPEs cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*
Vendors & Products Monai medical Open Network For Ai

Tue, 09 Sep 2025 21:45:00 +0000

Type Values Removed Values Added
First Time appeared Monai
Monai monai
Vendors & Products Monai
Monai monai

Tue, 09 Sep 2025 14:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'total'}, 'version': '2.0.3'}


Mon, 08 Sep 2025 23:45:00 +0000

Type Values Removed Values Added
Description MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available.
Title MONAI's unsafe torch usage may lead to arbitrary code execution
Weaknesses CWE-502
References
Metrics cvssV3_1

{'score': 8.8, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H'}


cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2025-09-09T13:28:57.518Z

Reserved: 2025-09-04T19:18:09.499Z

Link: CVE-2025-58756

cve-icon Vulnrichment

Updated: 2025-09-09T13:13:06.154Z

cve-icon NVD

Status : Analyzed

Published: 2025-09-09T00:15:32.457

Modified: 2025-09-19T15:26:29.890

Link: CVE-2025-58756

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2025-09-09T21:31:46Z