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Power Grid Simulation System 02 : FDI Power Outage Attack Case Study
We are excited to share that the Power Grid Simulation System we developed was used as part of one red team's targeted critical infrastructure system the international cyber exercise Crossed Swords 2024 which conducted in December 2024. In this article, we will introduce one power outage attack case study which use the Power Grid Simulation System as the demo platform for OT cyber security workshop. Project Design Purpose: This case study demonstrates using the Power Grid Simulation System as a...
Python PLC Honeypot Project
Program Design Propose : This project aims to develop a sophisticated honeypot system that emulates an OT (Operational Technology) SCADA network environment, bridging Level 1 OT field controller devices (PLCs) with Level 2 control programs, including Human-Machine Interfaces (HMIs). This honeypot will simulate various PLC models from major vendors, such as Schneider and Siemens, while supporting the primary communication protocols Modbus-TCP and Siemens-S7Comm. The system will integrate essenti...
Cleansing data with Pig and storing JSON format to HBase with Pig UDF
Introduction This post will explain you the way to clean data and store JSON format to HBase. Hadoop architect experts also explain Apache Pig and its advantages in Hadoop in this post. Read more and find out how they do it. This post contains steps to do some basic clean the duplication data and convert the data to JSON format to store to HBase. Actually, we have some built-in lib to parse JSON in Pig but it is important to manipulate the JSON data in Java code before store to HBase. Apache Pig...
JSON,HADOOP ARCHITECT,APACHE HBASE,PIG UDF 2016-06-10 01:13:41
IoT System Cyber Attack Case Study 02: Python Deserialization Attack and Library Hijacking Attack
Project Design Purpose: The objective of this cyber attack case study is to develop a workshop that demonstrates how a red team attacker can permanently compromise a people detection radar IoT device. The attack path is achieved through a series of attacks, including traffic eavesdropping, data deserialization attacks, web shell attacks, remote command/code execution, and Python library hijacking attacks. This case study is intended for IoT and data security professional training, aiming to ill...
Python Deserialization Attack Introduction: How to Build a Python Pickle Bomb
This article introduces an old and classic unsecured Python data serialization feature (the pickle library) and demonstrates how a red team attacker can exploit it to create a malicious binary or text data file that executes remote code or commands upon deserialization. The following attack flow diagram illustrates this process: We will follow 3 steps with the program code to show how Deserialization Attacks Work: [ Step1 ] Crafting Malicious Data: An attacker crafts a malicious payloa...
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