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Malware Development for Ethical Hackers

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

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781801810173
Length 390 pages
Edition 1st Edition
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Author (1):
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Mr. Zhassulan Zhussupov Mr. Zhassulan Zhussupov
Author Profile Icon Mr. Zhassulan Zhussupov
Mr. Zhassulan Zhussupov
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Toc

Table of Contents (23) Chapters Close

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 22. Other Books You May Enjoy

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...

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