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Mastering Malware Analysis

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

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789610789
Length 562 pages
Edition 1st Edition
Languages
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Authors (2):
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Alexey Kleymenov Alexey Kleymenov
Author Profile Icon Alexey Kleymenov
Alexey Kleymenov
Amr Thabet Amr Thabet
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Amr Thabet
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Toc

Table of Contents (18) Chapters Close

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

Engines

These libraries are supposed to be used to develop other tools or to just solve some particular engineering task using a custom script to call them:

  • Capstorm: This is a lightweight multi-platform disassembly engine that supports multiple architectures, including x86, ARM, MIPS, PowerPC, SPARC, and several others. It provides native support for Windows and multiple *nix systems. It is designed so that other developers can build reverse engineering tools based on it. Apart from the C language, it also provides Python and Java APIs.
  • distorm3: This is a disassembler library for processing x86/AMD64 binary streams. Written in C, it also has wrappers in Python, Ruby, and Java.
  • Miasm: This is a reverse engineering framework in Python, and it supports several architectures. Among its interesting features, it introduces intermediate representations, so-called emulation using JIT, and symbolic execution.
  • angr: This Python library is a binary analysis framework that supports multiple...
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