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Reconnaissance for Ethical Hackers

You're reading from   Reconnaissance for Ethical Hackers Focus on the starting point of data breaches and explore essential steps for successful pentesting

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781837630639
Length 430 pages
Edition 1st Edition
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Author (1):
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Glen D. Singh Glen D. Singh
Author Profile Icon Glen D. Singh
Glen D. Singh
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Reconnaissance and Footprinting
2. Chapter 1: Fundamentals of Reconnaissance FREE CHAPTER 3. Chapter 2: Setting Up a Reconnaissance Lab 4. Chapter 3: Understanding Passive Reconnaissance 5. Chapter 4: Domain and DNS Intelligence 6. Chapter 5: Organizational Infrastructure Intelligence 7. Chapter 6: Imagery, People, and Signals Intelligence 8. Part 2: Scanning and Enumeration
9. Chapter 7: Working with Active Reconnaissance 10. Chapter 8: Performing Vulnerability Assessments 11. Chapter 9: Delving into Website Reconnaissance 12. Chapter 10: Implementing Recon Monitoring and Detection Systems 13. Index 14. Other Books You May Enjoy

Imagery, People, and Signals Intelligence

Photographs can tell you a lot and threat actors collect imagery intelligence on their targets to identify their geo-locations and any sensitive data in the background of pictures that can be used to improve their operations. People around the world are always posting pictures of themselves, their family members, and their locations on social media platforms without fully understanding how adversaries can track their whereabouts.

In this chapter, you will learn how to analyze imagery and maps to identify the physical location of a target, and collect and analyze data from public databases to identify valid usernames and passwords of people. Additionally, you will learn how to perform wireless signals intelligence to identify wireless devices within an area and profile a targeted wireless network infrastructure.

In this chapter, we will cover the following topics:

  • Image and metadata analysis
  • People and user intelligence
  • ...
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