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CVE

CVE-2025-58756

MONAI's unsafe torch usage may lead to arbitrary code execution
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CVE

CVE-2025-58756

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 modeldict = torch.load(fullpath, maplocation=torch.device(device), weightsonly=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.

Package Versions Affected

Package Version
patch Availability
No items found.

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CVSS Version

Severity
Base Score
CVSS Version
Score Vector
C
H
U
8.8
-
3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
C
H
U
0
-
3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
C
H
U
-

Related Resources

No items found.

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

Severity

8.8

CVSS Score
0
10

Basic Information

Ecosystem
Base CVSS
8.8
EPSS Probability
0.01381%
EPSS Percentile
0.80475%
Introduced Version
0
Fix Available

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