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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

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803234083
Length 316 pages
Edition 1st Edition
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Author (1):
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Gianluca Tiepolo Gianluca Tiepolo
Author Profile Icon Gianluca Tiepolo
Gianluca Tiepolo
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Table of Contents (17) Chapters Close

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

Recovering deleted messages

One of the most common tasks in a mobile device investigation is to attempt the recovery of data that was deleted by the user, such as chats and messages, as these may contain invaluable evidence.

In this chapter, we learned that SMS messages and chats from third-party applications are all stored in SQLite databases; this means that the ability to recover deleted chats effectively depends on the possibility of recovering any records from the SQLite database.

In Chapter 4, Working with Common iOS Artifacts, we discussed several options for the recovery of deleted records, such as the following:

  • Parsing through the database using a hex viewer
  • String carving
  • Analyzing the Write Ahead Log (WAL) files
  • Using forensic tools such as FQLite to recover data from free blocks and unallocated space

All of these solutions can be effective in recovering deleted messages, but only if the database was not vacuumed after the records were purged...

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