Deserialization in Monai Medical_open_network_for_ai
CVE-2025-58756
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…
Vulnerability class: Insecure Deserialization
EPSS: 0.007 (47.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.
Affected products
- Monai Medical_open_network_for_ai
- Project-monai Monai — versions <= 1.5.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Vendor Advisory)
Frequently asked questions
- What is CVE-2025-58756?
- CVE-2025-58756 is a high-severity vulnerability in Monai Medical_open_network_for_ai, classified under Deserialization of Untrusted Data. CVSS score: 8.8/10. Published 2025-09-09.
- How severe is CVE-2025-58756?
- High severity. CVSS v3 base score is 8.8 out of 10.
- Is CVE-2025-58756 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.