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

6. Listing DLLs


Throughout this book, you have seen examples of malware using DLL to implement the malicious functionality. Therefore, in addition to investigating processes, you may also want to examine the list of loaded libraries. To list the loaded modules (executable and DLLs), you can use Volatility's dlllist plugin. The dlllist plugin also displays the full path associated with a process. Let's take an example of the malware named Ghost RAT. It implements the malicious functionality as the Service DLL, and as a result, the malicious DLL gets loaded by the svchost.exe process (for more information on Service DLL, refer to the Service section in Chapter 7, Malware Functionalities and Persistence). The following is the output from the dlllist, where you can see a suspicious module with a non-standard extension (.ddf) loaded by the svchost.exe process (pid 800). The first column, Base, specifies the base address, that is, the address in the memory where the module is loaded:

$ python vol...