CVE-2025-58756

Katalog CVE

CVSS 8.8 · High EPSS 0,76%

Kerentanan Deserialization of Untrusted Data pada monai medical open network for ai. Skor CVSS 3.1 8.8 (High) menurut github.com.

Deskripsi (NVD)

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.

Rincian

Terbit di NVD

9 September 2025

Terakhir diubah

17 Juni 2026

Status NVD

Analyzed

CVSS 3.1

8.8 (High), sumber github.com
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H · uraikan di kalkulator

Jenis kelemahan (CWE)

CWE-502: Deserialization of Untrusted Data

EPSS (30 hari)

0,76% peluang dieksploitasi; lebih tinggi dari 53,9% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj exploit · advisory vendor