MONAI's unsafe torch usage may lead to arbitrary code execution
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.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2025-58756
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 4 Nov 2026, 16:33 UTC · Revision 1
Source evidence
MONAI's unsafe torch usage may lead to arbitrary code execution
core-osv · Original sourcePublished 8 Sept 2025, 23:39 UTC
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.
osv:CVE-2025-58756
Complete source record
{
"id": "90c76967d22f2bf031a511251dc33b9e3a88784db56d10ef60f31c16eb956921",
"url": "https://osv.dev/vulnerability/CVE-2025-58756",
"method": "structured",
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"kind": "advisory",
"title": "MONAI's unsafe torch usage may lead to arbitrary code execution",
"summary": "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.",
"evidence": "osv:CVE-2025-58756",
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"GHSA-6vm5-6jv9-rjpj",
"PYSEC-2025-141"
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"modified": "2026-10-28T02:30:37.430739298Z",
"provider": "osv",
"references": [
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/58xxx/CVE-2025-58756.json",
"https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj",
"https://nvd.nist.gov/vuln/detail/CVE-2025-58756"
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"provider_metadata": {
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"source_id": "core-osv",
"document_id": 504733,
"published_at": "2025-09-08T23:39:55.508+00:00"
}