affected:
- package:
    ecosystem: PyPI
    name: monai
    purl: pkg:pypi/monai
  ranges:
  - events:
    - introduced: '0'
    - fixed: 1.5.1rc1
    type: ECOSYSTEM
  versions:
  - 0.0.1
  - 0.1.0
  - 0.2.0
  - 0.3.0
  - 0.4.0
  - 0.5.0
  - 0.5.1
  - 0.5.2
  - 0.5.3
  - 0.6.0
  - 0.7.0
  - 0.8.0
  - 0.8.1
  - 0.9.0
  - 0.9.1
  - 1.0.0
  - 1.0.1
  - 1.1.0
  - 1.2.0
  - 1.3.0
  - 1.3.1
  - 1.3.2
  - 1.3.2rc1
  - 1.3.3rc1
  - 1.4.0
  - 1.4.0rc1
  - 1.4.0rc10
  - 1.4.0rc11
  - 1.4.0rc12
  - 1.4.0rc2
  - 1.4.0rc3
  - 1.4.0rc4
  - 1.4.0rc5
  - 1.4.0rc6
  - 1.4.0rc7
  - 1.4.0rc8
  - 1.4.0rc9
  - 1.4.1rc1
  - 1.5.0
  - 1.5.0rc1
aliases:
- CVE-2025-58756
- GHSA-6vm5-6jv9-rjpj
details: 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.
id: PYSEC-2025-141
modified: '2026-05-20T09:19:08.703538Z'
published: '2025-09-09T00:15:32.457Z'
references:
- type: EVIDENCE
  url: https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj
severity:
- score: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
  type: CVSS_V3