CVE-2025-58756

HIGH EPSS 47.9%
Published Sep 9, 20259mo ago · Modified Jun 17, 20262w ago
8.8 CVSS 3.1
High
Find Similar
Published Sep 9, 2025 9mo ago
Last Modified Jun 17, 2026 2w 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.

CVSS Details

Base Score
8.8
Exploitability
2.8
Impact
5.9
Vector string
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector Network
Attack Complexity Low
Privileges Required Low
User Interaction None
Scope Unchanged
Confidentiality High
Integrity High
Availability High

Threat Intelligence

EPSS Exploit Probability
47.9% percentile
Exploit & Patch Status
Public Exploit Known
No Patch Available

Weaknesses 1

CWE-502 Deserialization of Untrusted Data Validation

Affected Products 1

VendorProductVersionRange
monaimedical_open_network_for_ai* ≤1.5.0

References 1

  • github.com https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj
    ExploitVendor Advisory

Remediation

No remediation data recorded yet

Check vendor advisories and the NVD entry for patch availability.