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Packt – Mobile App Reverse Engineering 2022

Updated August 10, 2026 16.6 MB
Packt – Mobile App Reverse Engineering 2022

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Description

Mobile App Reverse Engineering is a practical and expert guide for cybersecurity professionals and malware analysts to enhance their knowledge of mobile device security. With the increasing popularity of mobile operating systems, cybercriminals have placed a special focus on these platforms, and this book helps uncover vulnerabilities in them.

The book starts with the basic concepts of reverse engineering and teaches how to set up an isolated environment and secure virtual machine for analyzing applications. It then goes on to examine how to examine the internal structure of Android (APK) and iOS (IPA) packages using advanced tools.

Book Features

  • Teach the key skills needed to analyze, analyze, and rebuild mobile applications.
  • Understand the internal structure and architecture of iOS and Android operating system binaries.
  • Training in working with modern and powerful reverse engineering tools such as Ghidra, Radare2, and Hopper.
  • Review real-world case studies of security issues discovered in mobile applications.
  • Learn how to automate the reverse engineering process to quickly find low-level security flaws.

Book specifications

  • Publisher: Packt
  • Lecturer/Author: Abhinav Mishra
  • Number of pages: 166
  • Number of chapters: 8
  • Format: pdf

Headlines

Mobile App Reverse Engineering

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Mobile App Reverse Engineering

User Guide

Extract the file and run it with the appropriate software.

Download link

Download file – 16.6 MB

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File size

16.6 MB

What is included

  • Teach the key skills needed to analyze, analyze, and rebuild mobile applications.
  • Understand the internal structure and architecture of iOS and Android operating system binaries.
  • Training in working with modern and powerful reverse engineering tools such as Ghidra, Radare2, and Hopper.
  • Review real-world case studies of security issues discovered in mobile applications.
  • Learn how to automate the reverse engineering process to quickly find low-level security flaws.