Book Image

Learning Malware Analysis

By : Monnappa K A
5 (1)
Book Image

Learning Malware Analysis

5 (1)
By: Monnappa K A

Overview of this book

Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, infected memory images, and visual diagrams to help you gain a better understanding of the subject and to equip you with the skills required to analyze, investigate, and respond to malware-related incidents.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 3. Dynamic Analysis

Dynamic analysis (behavioral analysis) involves analyzing a sample by executing it in an isolated environment and monitoring its activities, interaction, and effect on the system. In the previous chapter, you learned the tools, concepts, and techniques to examine the different aspects of the suspect binary without executing it. In this chapter, we will build on that information to further explore the nature, purpose, and functionality of the suspect binary using dynamic analysis.

You will learn the following topics:

  • Dynamic analysis tools and their features
  • Simulating internet services
  • Steps involved in dynamic analysis
  • Monitoring the malware activity and understanding its behavior