CVE-2024-50365
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 source of the vulnerability relies on multiple parameters belonging to the "lan_apply" API which are not properly sanitized before being concatenated to OS level commands.
The vulnerability can be exploited by authenticated users to gain full, unrestricted root access to the wireless access point.
November 26, 2025
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-2024-50365
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
7.2
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
Diego Zaffaroni of Nozomi Networks
Curated and maintained by Nozomi Networks Labs, the Threat Intelligence™ service provides threat and vulnerability updates to Guardian, making it easy for IT/OT professionals to stay on top of current OT and IoT risks.
Learn more
“Threat actors love finding new ways to attack critical infrastructure. We love finding new ways to detect their malware before damage occurs.”
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.
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 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.
