CVE-2025-58756HIGH 8.8EPSS p47.7%

CVE-2025-58756CVE-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.

Scoring

CVSS 3.18.8 (HIGH)
VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS0.68% probability of exploitation · percentile 47.7% · 2026-06-18T12:00:27Z
Published2025-09-09
Last modified2025-09-19

Underlying weaknesses· 1

CWE-502

References

  1. https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj

1

TypeTargetConfidenceTier
WeaknessDeserialization of Untrusted Datacwe-5020%live

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.