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

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

https://cvefeed.io/rssfeed/latest.atom / Tue, 09/09/2025 - 05:38
CVE ID : CVE-2025-58756
Published : Sept. 9, 2025, 12:15 a.m. | 1 hour, 52 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
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