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Bash Shell Scripting for Pentesters

You're reading from   Bash Shell Scripting for Pentesters Master the art of command-line exploitation and enhance your penetration testing workflows

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781835880821
Length 402 pages
Edition 1st Edition
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Author (1):
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Steve Campbell Steve Campbell
Author Profile Icon Steve Campbell
Steve Campbell
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Getting Started with Bash Shell Scripting
2. Chapter 1: Bash Command-Line and Its Hacking Environment FREE CHAPTER 3. Chapter 2: File and Directory Management 4. Chapter 3: Variables, Conditionals, Loops, and Arrays 5. Chapter 4: Regular Expressions 6. Chapter 5: Functions and Script Organization 7. Chapter 6: Bash Networking 8. Chapter 7: Parallel Processing 9. Part 2: Bash Scripting for Pentesting
10. Chapter 8: Reconnaissance and Information Gathering 11. Chapter 9: Web Application Pentesting with Bash 12. Chapter 10: Network and Infrastructure Pentesting with Bash 13. Chapter 11: Privilege Escalation in the Bash Shell 14. Chapter 12: Persistence and Pivoting 15. Chapter 13: Pentest Reporting with Bash 16. Part 3: Advanced Applications of Bash Scripting for Pentesting
17. Chapter 14: Evasion and Obfuscation 18. Chapter 15: Interfacing with Artificial Intelligence 19. Chapter 16: DevSecOps for Pentesters 20. Index 21. Other Books You May Enjoy

The basics of AI in pentesting

In this section, we’ll first review basic terminology that is essential to understanding the following concepts. Then, we’ll venture into how to write an effective prompt. The prompt is your input to the AI system, and knowing how your prompt affects the quality of the output is essential. These concepts will have a huge impact on your success when using AI for pentesting.

Basic terminology and definitions of ML and AI

ML and AI are technologies that enable computers to learn from data and make decisions or predictions without explicit programming. In the context of cybersecurity and pentesting, these technologies offer new capabilities for both defenders and attackers.

ML involves algorithms that improve their performance on a specific task through experience. There are several types of ML:

  • Supervised learning: Supervised learning is a type of ML where an AI model is trained on a labeled dataset. This means that the input...
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