Remote Command Execution (RCE)

CVE-2024-50371

Summary

A CWE-78 “Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')” was discovered affecting the following devices manufactured by Advantech: EKI-6333AC-2G (<= 1.6.3), EKI-6333AC-2GD (<= v1.6.3) and EKI-6333AC-1GPO (<= v1.2.1). The vulnerability can be exploited by remote unauthenticated users capable of interacting with the default "edgserver" service enabled on the access point and malicious commands are executed with root privileges. No authentication is enabled on the service and the source of the vulnerability resides in processing code associated to the "wlan_scan" operation.

Impact

The vulnerability can be exploited by unauthenticated users to executed arbitrary commands with root privileges on the device.

Issue Date

November 26, 2025

Affects

The following products and firmware versions are affected: EKI-6333AC-2G ≤ v1.6.3 EKI-6333AC-2GD ≤ v1.6.3 EKI-6333AC-1GPO ≤ v1.2.1

CVE Name

CVE-2024-50371

CVSS Details

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

CVSS Score

9.8

Solution

Update affected products to the following firmware versions released by Advantech: - EKI-6333AC-2G: v1.6.5 - EKI-6333AC-2GD: v1.6.5 - EKI-6333AC-1GPO: v1.2.2

Mitigations

Acknowledgements

Diego Zaffaroni of Nozomi Networks

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Research Projects

TRITON

TRITON is the first known cyberattack that directly interacted with a Safety Instrumented System (SIS). Labs reverse engineered the TriStation suite of software and delivered a report and two free tools for security researchers. This research was presented at Black Hat USA 2018.

GreyEnergy

The Labs team reverse engineered the GreyEnergy malicious document (maldoc) that leads to the installation of the malware (backdoor) on a victim’s network. Project outcomes include a report, multiple blogs and two free tools for security researchers.

IEC 62351

IEC Working Group 15 (WG15) is developing technology standards for secure-by-design power systems. Labs contributes to the standards and has demonstrated how they can be used to identify hard-to-detect cyberattacks. Research from this effort was presented at Black Hat USA 2019.

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