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iOS Forensics for Investigators

You're reading from iOS Forensics for Investigators Take mobile forensics to the next level by analyzing, extracting, and reporting sensitive evidence

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803234083

Length 316 pages

Edition 1st Edition

Tools

iOS

Concepts

Forensics

Author (1):

Gianluca Tiepolo

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1 – Data Acquisition from iOS Devices

2. Chapter 1: Introducing iOS Forensics FREE CHAPTER

3. Chapter 2: Data Acquisition from iOS Devices

4. Section 2 – iOS Data Analysis

5. Chapter 3: Using Forensic Tools

6. Chapter 4: Working with Common iOS Artifacts

7. Chapter 5: Pattern-of-Life Forensics

8. Chapter 6: Dissecting Location Data

9. Chapter 7: Analyzing Connectivity Data

10. Chapter 8: Email and Messaging Forensics

11. Chapter 9: Photo, Video, and Audio Forensics

12. Chapter 10: Analyzing Third-Party Apps

13. Chapter 11: Locked Devices, iTunes Backups, and iCloud Forensics

14. Section 3 – Reporting

15. Chapter 12: Writing a Forensic Report and Building a Timeline

16. Other Books You May Enjoy

Using open source tools

This chapter would not be complete without mentioning some of the best open source iOS forensic tools! The DFIR (Digital Forensics and Incident Response) community is one of the most active and helpful communities out there, and these tools are the result of the hard work and passion of security researchers, forensic examiners, and developers that have shared their knowledge with the community.

Apollo

The Apple Pattern of Life Lazy Output'er (APOLLO) is a Python script written by Sarah Edwards (you can find her on Twitter – @iamevltwin) that processes iOS and macOS artifacts to extract pattern-of-life data and combines the result into a single SQLite database or CSV file for viewing.

The script is based on a number of different modules (some of these have been written by the DFIR community), and each of these runs one or more queries to extract specific data from an iOS extraction. We'll be using this powerful tool extensively in Chapter...

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Authors (1)

Tiepolo

Tiepolo

Gianluca Tiepolo is a cybersecurity researcher who specializes in mobile forensics and incident response. He holds a BSc degree in Computer Science and an MSc in Information Security, as well as several security-related certifications. Over the past 12 years, he has performed security monitoring, threat hunting, incident response, and intelligence analysis as a consultant for dozens of organizations, including several Fortune 100 companies. Gianluca is also the co-founder of the startup Sixth Sense Solutions, which developed AI-based anti-fraud solutions. Today, Gianluca works as a Security Delivery Team Lead for consulting firm Accenture Security. In 2016, he authored the book Getting Started with RethinkDB, published by Packt Publishing.

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