{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-05-11T20:48:28.711","vulnerabilities":[{"cve":{"id":"CVE-2025-58756","sourceIdentifier":"security-advisories@github.com","published":"2025-09-09T00:15:32.457","lastModified":"2025-09-19T15:26:29.890","vulnStatus":"Analyzed","cveTags":[],"descriptions":[{"lang":"en","value":"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."}],"metrics":{"cvssMetricV31":[{"source":"security-advisories@github.com","type":"Secondary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","baseScore":8.8,"baseSeverity":"HIGH","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"LOW","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"HIGH"},"exploitabilityScore":2.8,"impactScore":5.9}]},"weaknesses":[{"source":"security-advisories@github.com","type":"Secondary","description":[{"lang":"en","value":"CWE-502"}]}],"configurations":[{"nodes":[{"operator":"OR","negate":false,"cpeMatch":[{"vulnerable":true,"criteria":"cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*","versionEndIncluding":"1.5.0","matchCriteriaId":"9410F21F-5E71-4190-97B6-9B2203699F79"}]}]}],"references":[{"url":"https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj","source":"security-advisories@github.com","tags":["Exploit","Vendor Advisory"]}]}}]}