CVE-2025-58756
Last modified
CVE-2025-58756 is a high-severity vulnerability rated 8.8/10 on the CVSS scale. 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. EPSS estimates a 0.68% chance of exploitation in the next 30 days.
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Monai | Medical Open Network For Ai | <= 1.5.0 |
References
- https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpjExploit, Vendor Advisory
Timeline
- Published
- Last Modified
- Status
- Analyzed
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