CVE-2025-58756
MONAI: Unsafe torch usage may lead to arbitrary code execution
描述
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.
如何修補 CVE-2025-58756
要修補 CVE-2025-58756,請將受影響套件升級到下列已修補版本。
- —升級至 1.5.1 或更新版本
- —升級至 1.5.1rc1 或更新版本
CVE-2025-58756 正在被利用嗎?
低 — EPSS 為 0.7%,目前沒有觀察到大規模利用活動。
受影響套件(2)
- from 0, < 1.5.1
- from 0, < 1.5.1rc1
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | HIGH8.8 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |