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Mobile App Reverse Engineering

You're reading from   Mobile App Reverse Engineering Get started with discovering, analyzing, and exploring the internals of Android and iOS apps

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801073394
Length 166 pages
Edition 1st Edition
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Author (1):
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Abhinav Mishra Abhinav Mishra
Author Profile Icon Abhinav Mishra
Abhinav Mishra
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Table of Contents (13) Chapters Close

Preface 1. Section 1: Basics of Mobile App Reverse Engineering, Common Tools and Techniques, and Setting up the Environment
2. Chapter 1: Basics of Reverse Engineering – Understanding the Structure of Mobile Apps FREE CHAPTER 3. Chapter 2: Setting Up a Mobile App Reverse Engineering Environment Using Modern Tools 4. Section 2: Mobile Application Reverse Engineering Methodology and Approach
5. Chapter 3: Reverse Engineering an Android Application 6. Chapter 4: Reverse Engineering an iOS Application 7. Chapter 5: Reverse Engineering an iOS Application (Developed Using Swift) 8. Section 3: Automating Some Parts of the Reverse Engineering Process
9. Chapter 6: Open Source and Commercial Reverse Engineering Tools 10. Chapter 7: Automating the Reverse Engineering Process 11. Chapter 8: Conclusion 12. Other Books You May Enjoy

Case study one – automating reverse engineering tasks

During a research project, we need to analyze how secure modern mobile applications are and what percentage of these applications do not follow some best security practices of binary protection, such as a stack canary and a PIE flag.

In order to complete such research on a wide range of IPAs, we would need to automate the process of binary analysis and reverse engineering. This is where using a tool such as MobSF can be very productive. Here is how we performed such checks on more than 500 applications:

  1. We stored all IPAs at one location.
  2. We then used the MobSF REST APIs to automate the static analysis of binaries one by one:
    • By uploading the file: api/v1/upload
    • By scanning the uploaded file: /api/v1/scan
  3. Once the analysis is done, a JSON format of the report could be fetched and analyzed to find the value of checks we are interested in:
    • By generating the JSON report: api/v1/report_json

We then...

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