Detections
Analytics

SCA: security update for monai (GHSA-6vm5-6jv9-rjpj)

high Tenable Cloud Security Plugin ID 435439

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

 - 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. (CVE-2025-58756)

Solution

Update the monai library and its related packages to version 1.5.1 or later.

See Also

https://github.com/advisories/GHSA-6vm5-6jv9-rjpj

Plugin Details

Severity: High

ID: 435439

Version: Revision 1.5

Type: Local

Family: SCA Checks

Published: 9/26/2025

Updated: 7/2/2026

Supported Sensors: Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Medium

Score: 4.9

Percentile: 57.58

Vendor

Vendor Severity: High

CVSS v2

Risk Factor: High

Base Score: 9

Temporal Score: 7

Vector: CVSS2#AV:N/AC:L/Au:S/C:C/I:C/A:C

CVSS Score Source: CVE-2025-58756

CVSS v3

Risk Factor: High

Base Score: 8.8

Temporal Score: 7.9

Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

Vulnerability Information

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 9/9/2025

Vulnerability Publication Date: 9/8/2025

Reference Information

CVE: CVE-2025-58756

cwe: CWE-502