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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
Author Profile Icon Amr Thabet
Amr Thabet
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Toc

Table of Contents (18) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors Preface 1. A Crash Course in CISC/RISC and Programming Basics FREE CHAPTER 2. Basic Static and Dynamic Analysis for x86/x64 3. Unpacking, Decryption, and Deobfuscation 4. Inspecting Process Injection and API Hooking 5. Bypassing Anti-Reverse Engineering Techniques 6. Understanding Kernel-Mode Rootkits 7. Handling Exploits and Shellcode 8. Reversing Bytecode Languages: .NET, Java, and More 9. Scripts and Macros: Reversing, Deobfuscation, and Debugging 10. Dissecting Linux and IoT Malware 11. Introduction to macOS and iOS Threats 12. Analyzing Android Malware Samples 1. Other Books You May Enjoy

Detecting sandboxes and virtual machines

Malware authors know that if their malware sample is running on a virtual machine, then it's probably being analyzed by a reverse engineer or it's probably running under the analysis of an automated tool such as a sandbox. There are multiple ways in which malware authors can detect virtual machines and sandboxes. Let's go over some of them now.

Different output between virtual machines and real machines

Nothing is perfect. Therefore, malware authors use the mistakes of the virtual machines' implementations in some of the assembly instructions. Examples of these are as follows:

  • CPUID hypervisor bit: The CPUID instruction returns information about the CPU and provides a leaf...
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