CVE-2025-58756

HIGH

MONAI < 1.5.0 - Deserialization of Untrusted Data via Checkpoint Loading

Title source: llm
STIX 2.1

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.

References (1)

Core 1
Core References

Scores

CVSS v3 8.8
EPSS 0.0210
EPSS Percentile 84.3%
Attack Vector NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CISA SSVC

Vulnrichment
Exploitation none
Automatable no
Technical Impact total

Details

CWE
CWE-502
Status published
Products (2)
monai/medical_open_network_for_ai < 1.5.0
pypi/monai 0 - 1.5.1PyPI
Published Sep 09, 2025
Tracked Since Feb 18, 2026