You're reading from Malware Development for Ethical Hackers Learn how to develop various types of malware to strengthen cybersecurity

Product type Paperback

Published in Jun 2024

Publisher Packt

ISBN-13 9781801810173

Length 390 pages

Edition 1st Edition

Concepts

Cybersecurity

Author (1):

Mr. Zhassulan Zhussupov

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1: Malware Behavior: Injection, Persistence, and Privilege Escalation Techniques FREE CHAPTER

2. Chapter 1: A Quick Introduction to Malware Development

3. Chapter 2: Exploring Various Malware Injection Attacks

4. Chapter 3: Mastering Malware Persistence Mechanisms

5. Chapter 4: Mastering Privilege Escalation on Compromised Systems

6. Part 2: Evasion Techniques

7. Chapter 5: Anti-Debugging Tricks

8. Chapter 6: Navigating Anti-Virtual Machine Strategies

9. Chapter 7: Strategies for Anti-Disassembly

10. Chapter 8: Navigating the Antivirus Labyrinth – a Game of Cat and Mouse

11. Part 3: Math and Cryptography in Malware

12. Chapter 9: Exploring Hash Algorithms

13. Chapter 10: Simple Ciphers

14. Chapter 11: Unveiling Common Cryptography in Malware

15. Chapter 12: Advanced Math Algorithms and Custom Encoding

16. Part 4: Real-World Malware Examples

17. Chapter 13: Classic Malware Examples

18. Chapter 14: APT and Cybercrime

19. Chapter 15: Malware Source Code Leaks

20. Chapter 16: Ransomware and Modern Threats

21. Index

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Evasion dynamic analysis

Automated and manual analysis have comparable attributes, notably their execution within a virtualized environment, which can be readily identified if it’s not set or fortified well. The majority of sandbox/analysis detection techniques focus on examining particular aspects of the environment (such as limited resources and indicative device names) and artifacts (such as the existence of specific files and registry entries).

Malware creators often employ various techniques to evade dynamic analysis by security researchers and automated sandboxes. Dynamic analysis involves executing malware in a controlled environment to observe its behavior. Malware evasion techniques aim to detect the presence of analysis tools or virtual environments and alter the malware’s behavior accordingly.

Malware might introduce delays or sleep periods before initiating malicious activities. This helps it evade detection as automated analysis systems often have time...