CVE-2025-58756
CVE-2025-58756 is a high-severity vulnerability in Monai Medical Open Network For Ai with a CVSS 3.x base score of 8.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-502.
Key facts
- Severity: High (CVSS 3.x base score 8.8)
- EPSS exploit prediction: 1% (48th percentile)
- Actively exploited: Not listed in CISA KEV
- EU (EUVD) id: EUVD-2025-27190
- Weakness: CWE-502
- Affected product: Monai Medical Open Network For Ai
- Published:
- Last modified:
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.
Frequently asked questions
- What is 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.
- How severe is CVE-2025-58756?
- CVE-2025-58756 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.
- Is CVE-2025-58756 being actively exploited?
- It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (48th percentile), an estimate of the probability of exploitation in the next 30 days.
- What products are affected by CVE-2025-58756?
- CVE-2025-58756 affects Monai Medical Open Network For Ai. See the affected-products list for the exact vulnerable versions.
- How do I fix CVE-2025-58756?
- Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
- Does CVE-2025-58756 have an EU (EUVD) identifier?
- Yes. CVE-2025-58756 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-27190.
- When was CVE-2025-58756 published?
- CVE-2025-58756 was published on 2025-09-09 and last updated on 2026-06-17.
References
Affected products (1)
- cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*
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