Book Image

IoT Penetration Testing Cookbook

By : Aaron Guzman, Aditya Gupta
Book Image

IoT Penetration Testing Cookbook

By: Aaron Guzman, Aditya Gupta

Overview of this book

IoT is an upcoming trend in the IT industry today; there are a lot of IoT devices on the market, but there is a minimal understanding of how to safeguard them. If you are a security enthusiast or pentester, this book will help you understand how to exploit and secure IoT devices. This book follows a recipe-based approach, giving you practical experience in securing upcoming smart devices. It starts with practical recipes on how to analyze IoT device architectures and identify vulnerabilities. Then, it focuses on enhancing your pentesting skill set, teaching you how to exploit a vulnerable IoT device, along with identifying vulnerabilities in IoT device firmware. Next, this book teaches you how to secure embedded devices and exploit smart devices with hardware techniques. Moving forward, this book reveals advanced hardware pentesting techniques, along with software-defined, radio-based IoT pentesting with Zigbee and Z-Wave. Finally, this book also covers how to use new and unique pentesting techniques for different IoT devices, along with smart devices connected to the cloud. By the end of this book, you will have a fair understanding of how to use different pentesting techniques to exploit and secure various IoT devices.
Table of Contents (19 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Chapter 5. Exploiting IoT Mobile Applications

In this chapter, we will cover the following recipes:

  • Acquiring IoT mobile applications
  • Decompiling Android applications
  • Decrypting iOS applications
  • Using MobSF for static analysis
  • Analyzing iOS data storage with idb
  • Analyzing Android data storage
  • Performing dynamic analysis testing

In consumer, and some commercial, IoT devices, there is an accompanied mobile application employed to fulfill a purpose. For instance, a mobile application may report analytical data to a server in a fleet management infrastructure, or the application may be given delegated control to start a car engine. In each case, data is likely stored in the mobile application and can be manipulated to perform unintended actions. To start discovering vulnerabilities and reverse engineering mobile applications, similar methodologies discussed in Chapter 3, Analyzing and ExploitingFirmware can also be applied to the mobile space. An application must first be acquired; afterwards, the application...