AUGUST 4, 2026
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Case File

CVE-2025-58756

HIGH · CVSS 8.8 EPSS 0.69% Public Exploit

Source: NVD + CISA KEV + EPSS (historical backfill) · Published 2025-09-09 · Last synced 2026-08-04

CyberRota Analysis

This is a high severity vulnerability with a CVSS score of 8.8. Public exploit code or proof-of-concept references have been detected in its references.

Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

Detected Signals
code execution
GitHub PoC Links

Note: these links are listed for security research and verification purposes only.

CVE
CVE-2025-58756
Severity
HIGH
CVSS
8.8
EPSS
0.69%

Original NVD 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.

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