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 , `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.
Vulnerability class: Insecure Deserialization
Published · last modified .
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.
EPSS exploit prediction
EPSS: 0.008 (53.4th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 53rd percentile — 53.4% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.007 · newest: 0.008 · change: +0.000
Affected products
- Monai Medical Open Network For Ai
- Project-Monai Monai — versions <= 1.5.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj (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.