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

ARM

As time shows, all static analysis tools aiming to support other architectures beyond x86 generally start from the 32-bit ARM, so it is generally easier to find good tools for it. Since the 64-bit ARM was introduced relatively recently, support for it is still more limited. Still, Relyze, Binary Ninja, and Hopper support it.

However, this becomes especially true in terms of dynamic analysis. For example, at the moment, IDA only ships the debugging server for the 32-bit version of ARM for Linux. While it might be time-consuming to get and use the physical ARM machine to run a sample, one of the possible solutions here is to use QEMU and run a GDB server on the x86-based machine.:

qemu-arm -g 1234 ./binary.arm

If the sample is dynamically linked, then additional ARM libraries may need to be installed separately, for example, using the libc6-armhf-cross package (armel can be used instead of armhf for ARM versions older than 7). The path to them (in this case, it will be /usr/arm-linux...