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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

Analyzing user viewing activity

So far, we have focused on analyzing photo and video media assets; however, the investigator may want to understand not only what media was stored on a device but also what media the user viewed.

This may include any of the following:

Audio/video streamed through Safari or other browsers
Music played through Apple Music or third-party apps such as Spotify
Videos played through third-party apps such as YouTube and Netflix

The KnowledgeC.db database, which we discussed in Chapter 5, Pattern-of-Life Forensics, tracks most of the user's day-to-day activity, including events related to audio or video playback.

The table of interest is the ZOBJECT table, which stores device events, organizing them by stream name. Every time iOS detects that the user has initiated media playback, a /media/nowPlaying event is triggered.

The following screenshot shows some example data from the KnowledgeC.db database, analyzed using DB Browser...

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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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