Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Malware Analysis

You're reading from   Mastering Malware Analysis A malware analyst's practical guide to combating malicious software, APT, cybercrime, and IoT attacks

Arrow left icon
Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803240244
Length 572 pages
Edition 2nd Edition
Arrow right icon
Authors (2):
Arrow left icon
Amr Thabet Amr Thabet
Author Profile Icon Amr Thabet
Amr Thabet
Alexey Kleymenov Alexey Kleymenov
Author Profile Icon Alexey Kleymenov
Alexey Kleymenov
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1 Fundamental Theory
2. Chapter 1: Cybercrime, APT Attacks, and Research Strategies FREE CHAPTER 3. Chapter 2: A Crash Course in Assembly and Programming Basics 4. Part 2 Diving Deep into Windows Malware
5. Chapter 3: Basic Static and Dynamic Analysis for x86/x64 6. Chapter 4: Unpacking, Decryption, and Deobfuscation 7. Chapter 5: Inspecting Process Injection and API Hooking 8. Chapter 6: Bypassing Anti-Reverse Engineering Techniques 9. Chapter 7: Understanding Kernel-Mode Rootkits 10. Part 3 Examining Cross-Platform and Bytecode-Based Malware
11. Chapter 8: Handling Exploits and Shellcode 12. Chapter 9: Reversing Bytecode Languages – .NET, Java, and More 13. Chapter 10: Scripts and Macros – Reversing, Deobfuscation, and Debugging 14. Part 4 Looking into IoT and Other Platforms
15. Chapter 11: Dissecting Linux and IoT Malware 16. Chapter 12: Introduction to macOS and iOS Threats 17. Chapter 13: Analyzing Android Malware Samples 18. Index 19. Other Books You May Enjoy

Basics of informatics

Before we dive deeper into the internals of the various architectures, now is a good time to revise the numeral systems, which will lay a foundation for understanding both data types and bitwise operations.

Numeral systems

In our daily life, we use the decimal system with digits from 0 to 9, which gives us 10 different 1-digit options in total. There is a good reason for that – most of us as human beings have 10 fingers on our hands in total, which are always in front of us and are great tools for counting. However, from a data science point of view, there is nothing particular about the number 10. Using another base would allow us to store information much more efficiently.

The absolute minimum required to store some information is two different values: yes or no, true or false, and so on. This lays a foundation for the binary numeral system that uses only two digits: 0 and 1. The way we use it is the same as in the case of decimal: every time...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image