CVE-2025-58756
Severity CVSS v4.0:
Pending analysis
Type:
CWE-502
Deserialization of Untrusted Dat
Publication date:
09/09/2025
Last modified:
19/09/2025
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.
Impact
Base Score 3.x
8.80
Severity 3.x
HIGH
Vulnerable products and versions
| CPE | From | Up to |
|---|---|---|
| cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:* | 1.5.0 (including) |
To consult the complete list of CPE names with products and versions, see this page