Buffer Over-read

CVE-2024-12011

Summary

A CWE-126 “Buffer Over-read” was discovered affecting the 130.8005 TCP/IP Gateway running firmware version 12h. The information disclosure can be triggered by leveraging a memory leak affecting the web server.

Impact

A remote unauthenticated attacker can exploit this vulnerability in order to leak valid authentication tokens from the process memory associated to users currently logged to the system and bypass the authentication mechanism.

Issue Date

February 17, 2025

Affects

This issue affects: Zettler 130.8005 version 12h.

CVE Name

CVE-2024-12011

CVSS Details

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

CVSS Score

7.6

Solution

It is recommended to segregate the host to a management VLAN where only authorized clients have the ability to interact with it.

Mitigations

Acknowledgements

Diego Zaffaroni of Nozomi Networks

Threat Intelligence

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 Intel screenshot
Nozomi Logo circle

“Threat actors love finding new ways to attack critical infrastructure. We love finding new ways to detect their malware before damage occurs.”

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.

See all

Take the next step.

Discover how easy it is to identify and respond to cyber threats by automating your IoT and OT asset discovery, inventory, and management.