Book Image

Mastering Malware Analysis

By : Alexey Kleymenov, Amr Thabet
Book Image

Mastering Malware Analysis

By: Alexey Kleymenov, Amr Thabet

Overview of this book

With the ever-growing proliferation of technology, the risk of encountering malicious code or malware has also increased. Malware analysis has become one of the most trending topics in businesses in recent years due to multiple prominent ransomware attacks. Mastering Malware Analysis explains the universal patterns behind different malicious software types and how to analyze them using a variety of approaches. You will learn how to examine malware code and determine the damage it can possibly cause to your systems to ensure that it won't propagate any further. Moving forward, you will cover all aspects of malware analysis for the Windows platform in detail. Next, you will get to grips with obfuscation and anti-disassembly, anti-debugging, as well as anti-virtual machine techniques. This book will help you deal with modern cross-platform malware. Throughout the course of this book, you will explore real-world examples of static and dynamic malware analysis, unpacking and decrypting, and rootkit detection. Finally, this book will help you strengthen your defenses and prevent malware breaches for IoT devices and mobile platforms. By the end of this book, you will have learned to effectively analyze, investigate, and build innovative solutions to handle any malware incidents.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Fundamental Theory
3
Section 2: Diving Deep into Windows Malware
5
Unpacking, Decryption, and Deobfuscation
9
Section 3: Examining Cross-Platform Malware
13
Section 4: Looking into IoT and Other Platforms

Anti-reverse engineering tricks

Aside from the previously mentioned approach to dynamically building the next layer of JS code from the obfuscated pieces and execute it using the eval function, there are several other techniques that are widely used by malware authors:

  • Storing the block required for successful decryption in a separate block or file: In this case, obtaining only the decryption function might be not enough as it relies on some other piece of data being stored externally.
  • Checking the execution time: This approach aims to disrupt the dynamic analysis where the code execution takes much more time than average. For this purpose, the performance.now() or Date.now() functions are used.
  • Logging the sequence of executed functions: Here, malware behaves differently if the sequence has changed; for example, using the arguments.callee property.
  • Redefining the functions used in dynamic analysis: A good example of this can be a redefinition of the console.log function:
window[&apos...