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CVE-2025-58756
Good to know:

Date: September 8, 2025
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 Score
Severity Score
Weakness Type (CWE)
Deserialization of Untrusted Data
CWE-502CVSS v3.1
Base Score: |
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Attack Vector (AV): | NETWORK |
Attack Complexity (AC): | LOW |
Privileges Required (PR): | LOW |
User Interaction (UI): | NONE |
Scope (S): | UNCHANGED |
Confidentiality (C): | HIGH |
Integrity (I): | HIGH |
Availability (A): | HIGH |