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Learning Malware Analysis

Learning Malware Analysis

By : Monnappa K A
4.7 (31)
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Learning Malware Analysis

Learning Malware Analysis

4.7 (31)
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 (13 chapters)
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To get the most out of this book

Knowledge of programming languages such as C and Python would be helpful (especially to understand the concepts covered in chapters 5, 6, 7, 8, and 9). If you have written a few lines of code and have a basic understanding of programming concepts, you’ll be able to get the most out of this book.

If you have no programming knowledge, you will still be able to get the basic malware analysis concepts covered in chapters 1, 2, and 3. However, you may find it slightly difficult to understand the concepts covered in the rest of the chapters. To get you to speed, sufficient information and additional resources are provided in each chapter. You may need to do some additional reading to fully understand the concepts.

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: used for code examples, folder names, filenames, registry key and values, file extensions, pathnames, dummy URLs, user input, function names, and Twitter handles. Here is an example: "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."

Any command-line input is highlighted in bold, and the example is as follows:

$ sudo inetsim
INetSim 1.2.6 (2016-08-29) by Matthias Eckert & Thomas Hungenberg
Using log directory: /var/log/inetsim/
Using data directory: /var/lib/inetsim/

When we wish to draw your attention to a particular part of code or output, the relevant lines or items are set in bold:

$ python vol.py -f tdl3.vmem --profile=WinXPSP3x86 ldrmodules -p 880
Volatility Foundation Volatility Framework 2.6
Pid Process Base InLoad InInit InMem MappedPath
--- ----------- -------- ----- ------- ----- ----------------------------
880 svchost.exe 0x10000000 False False False \WINDOWS\system32\TDSSoiqh.dll
880 svchost.exe 0x01000000 True False True \WINDOWS\system32\svchost.exe
880 svchost.exe 0x76d30000 True True True \WINDOWS\system32\wmi.dll
880 svchost.exe 0x76f60000 True True True \WINDOWS\system32\wldap32.dll

Italics:  Used for a new term, an important word, or words, malware name, and keyboard combinations. Here is an example: press Ctrl + C to copy

Screen Text: Words in menus or dialog boxes appear in the text like this. Here is an example: Select System info from the Administration panel.

Warnings or important notes appear like this.
Tips and tricks appear like this.

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