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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

Introducing EXIF metadata

The Photos.sqlite database can be a huge source of metadata, but there may be some occasions in which the database is not available, and the investigator only has access to the media file. Thankfully, images and videos often contain embedded metadata, which is known as Exchangeable Image File Format (EXIF).

EXIF metadata can provide a wealth of information to investigators, such as the following:

  • The device model
  • Camera settings
  • Exposure and lens specifications
  • Timestamps
  • Location data
  • Altitude and bearing
  • Speed reference

When a photo or video is captured through an iOS device's built-in camera, EXIF metadata is automatically added to the media asset. The following screenshot shows the amount of metadata that can be extracted from a photo that was taken on an iPhone SE:

Figure 9.6 – EXIF metadata extracted from a photo that was captured on an iPhone

As you can see, by analyzing...

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