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Ghidra Software Reverse Engineering for Beginners

Ghidra Software Reverse Engineering for Beginners

By : A. P. David
4.6 (8)
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Ghidra Software Reverse Engineering for Beginners

Ghidra Software Reverse Engineering for Beginners

4.6 (8)
By: A. P. David

Overview of this book

Ghidra, an open source software reverse engineering (SRE) framework created by the NSA research directorate, enables users to analyze compiled code on any platform, whether Linux, Windows, or macOS. This book is a starting point for developers interested in leveraging Ghidra to create patches and extend tool capabilities to meet their cybersecurity needs. You'll begin by installing Ghidra and exploring its features, and gradually learn how to automate reverse engineering tasks using Ghidra plug-ins. You’ll then see how to set up an environment to perform malware analysis using Ghidra and how to use it in the headless mode. As you progress, you’ll use Ghidra scripting to automate the task of identifying vulnerabilities in executable binaries. The book also covers advanced topics such as developing Ghidra plug-ins, developing your own GUI, incorporating new process architectures if needed, and contributing to the Ghidra project. By the end of this Ghidra book, you’ll have developed the skills you need to harness the power of Ghidra for analyzing and avoiding potential vulnerabilities in code and networks.
Table of Contents (20 chapters)
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1
Section 1: Introduction to Ghidra
6
Section 2: Reverse Engineering
12
Section 3: Extending Ghidra

Looking for malware indicators

As you probably remember from previous chapters, Ghidra works with projects containing zero or more files. Alina malware consists of two components: a Windows driver (rt.sys) and a Portable Executable (park.exe). Therefore, a compressed Ghidra project (alina_ghidra_project.zip) containing both components can be found in the relevant GitHub project created for this book.

If you want to get the Alina malware sample as is instead of a Ghidra project, you can also find it in the GitHub project (alina_malware_sample.zip), compressed and protected with the password infected. It is quite common to share malware in this way so that it does not accidentally get infected.

Next, we will try to quickly guess what kind of malware we are dealing with in general terms. To do that, we will look for strings, which can be revealing in many cases. We will also check external sources, which can be useful if the malware has been analyzed or classified. Finally, we will...

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