CVE-2025-58756 – MONAI’s unsafe torch usage may lead to arbitrary code execution

CVE ID : CVE-2025-58756

Published : Sept. 9, 2025, 12:15 a.m. | 39 minutes ago

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.

Severity: 8.8 | HIGH

Visit the link for more details, such as CVSS details, affected products, timeline, and more…