CVE-2025-58756

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.
Configurations

Configuration 1 (hide)

cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*

History

19 Sep 2025, 15:26

Type Values Removed Values Added
CPE cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*
First Time Monai medical Open Network For Ai
Monai
References () https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj - () https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj - Exploit, Vendor Advisory

09 Sep 2025, 00:15

Type Values Removed Values Added
New CVE

Information

Published : 2025-09-09 00:15

Updated : 2025-09-19 15:26


NVD link : CVE-2025-58756

Mitre link : CVE-2025-58756

CVE.ORG link : CVE-2025-58756


JSON object : View

Products Affected

monai

  • medical_open_network_for_ai
CWE
CWE-502

Deserialization of Untrusted Data