CVE-2025-58756

MONAI's unsafe torch usage may lead to arbitrary code execution

State
Published
Severity
8.8 High
Published
Sep 8, 2025
Updated
Sep 9, 2025
Reserved
Sep 4, 2025

Read the record on cve.org

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.

Scores

CVSSScoreVectorSource
3.18.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HGitHub_M

Weaknesses

  • CWE-502 Deserialization of Untrusted Data

Affected Products

ProductVersions
MONAIProject-MONAI
  • <= 1.5.0Affected

References

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