{"cve":"CVE-2025-58756","nvd":{"published":"2025-09-09T00:15:32.457","modified":"2026-06-17T09:44:53.017","status":"Analyzed","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.","cvss_v4":null,"cvss_v3":{"version":"3.1","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","score":8.8},"cwes":["CWE-502"],"references":["https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj"],"products":["monai:medical_open_network_for_ai"],"source":"nvd","synced_at":"2026-10-19T22:08:41.295252406+00:00"},"epss":{"cve":"CVE-2025-58756","score":0.0075,"percentile":0.54989,"date":"2026-10-31"},"kev":null,"osv":[{"id":"GHSA-6vm5-6jv9-rjpj","url":"https://osv.dev/vulnerability/GHSA-6vm5-6jv9-rjpj","summary":"MONAI: Unsafe torch usage may lead to arbitrary code execution","modified":"2026-06-06T00:45:43.342026049Z","packages":[{"ecosystem":"PyPI","name":"monai","purl":"pkg:pypi/monai","ranges":["<1.5.1"],"fixed":["1.5.1"]}]},{"id":"PYSEC-2025-141","url":"https://osv.dev/vulnerability/PYSEC-2025-141","summary":"","modified":"2026-05-20T09:19:08.703538Z","packages":[{"ecosystem":"PyPI","name":"monai","purl":"pkg:pypi/monai","ranges":["<1.5.1rc1"],"fixed":["1.5.1rc1"]}]}],"attribution":["This product uses the NVD API but is not endorsed or certified by the NVD.","EPSS scores: FIRST Exploit Prediction Scoring System, https://www.first.org/epss","Known exploited vulnerabilities: CISA Known Exploited Vulnerabilities Catalog, https://www.cisa.gov/known-exploited-vulnerabilities-catalog","Package advisories: OSV (https://osv.dev), from the GitHub Advisory Database, PyPA, Go, RustSec and other ecosystem databases, under CC-BY 4.0 or CC0","CVE records: the CVE Program's CVE List (https://www.cve.org), under its terms of use (https://www.cve.org/Legal/TermsOfUse). CVE is a registered trademark of The MITRE Corporation; this product is not affiliated with the CVE Program."]}