CVE-2025-58756HIGH 8.8EPSS p47.7%
CVE-2025-58756CVE-2025-58756
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.
Scoring
| CVSS 3.1 | 8.8 (HIGH) |
| Vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| EPSS | 0.68% probability of exploitation · percentile 47.7% · 2026-06-18T12:00:27Z |
| Published | 2025-09-09 |
| Last modified | 2025-09-19 |
Underlying weaknesses· 1
References
1
| Type | Target | Confidence | Tier |
|---|---|---|---|
| Weakness | Deserialization of Untrusted Datacwe-502 | 0% | live |
Related by meaning· 6
Nearest entities by semantic similarity across the cs-graph corpus.