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.
Published: 2025-09-08
Score: 8.8 High
EPSS: 1.4% Low
KEV: No
Impact: n/a
Action: n/a
AI Analysis

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Remediation

No vendor fix or workaround currently provided.

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Tracking

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Advisories
Source ID Title
EUVD EUVD EUVD-2025-27190 MONAI: Unsafe torch usage may lead to arbitrary code execution
Github GHSA Github GHSA GHSA-6vm5-6jv9-rjpj MONAI: Unsafe torch usage may lead to arbitrary code execution
History

Fri, 19 Sep 2025 15:30:00 +0000

Type Values Removed Values Added
First Time appeared Monai medical Open Network For Ai
CPEs cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*
Vendors & Products Monai medical Open Network For Ai

Tue, 09 Sep 2025 21:45:00 +0000

Type Values Removed Values Added
First Time appeared Monai
Monai monai
Vendors & Products Monai
Monai monai

Tue, 09 Sep 2025 14:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'total'}, 'version': '2.0.3'}


Mon, 08 Sep 2025 23:45:00 +0000

Type Values Removed Values Added
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.
Title MONAI's unsafe torch usage may lead to arbitrary code execution
Weaknesses CWE-502
References
Metrics cvssV3_1

{'score': 8.8, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H'}


Subscriptions

Monai Medical Open Network For Ai Monai
cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2025-09-09T13:28:57.518Z

Reserved: 2025-09-04T19:18:09.499Z

Link: CVE-2025-58756

cve-icon Vulnrichment

Updated: 2025-09-09T13:13:06.154Z

cve-icon NVD

Status : Analyzed

Published: 2025-09-09T00:15:32.457

Modified: 2025-09-19T15:26:29.890

Link: CVE-2025-58756

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2025-09-09T21:31:46Z

Weaknesses