CVE-2025-58756
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.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
monaiPyPI | < 1.5.1 | 1.5.1 |
Affected products
3- Range: <= 1.5.0
- cpe:2.3:a:monai:medical_open_network_for_ai:*:*:*:*:*:*:*:*Range: <=1.5.0
Patches
Vulnerability mechanics
References
6- github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpjnvdExploitVendor AdvisoryWEB
- github.com/advisories/GHSA-6vm5-6jv9-rjpjghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2025-58756ghsaADVISORY
- github.com/Project-MONAI/MONAI/commit/948fbb703adcb87cd04ebd83d20dcd8d73bf6259ghsaWEB
- github.com/Project-MONAI/MONAI/pull/8566ghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/monai/PYSEC-2025-141.yamlghsaWEB
News mentions
0No linked articles in our index yet.