Course description
Now that you have all the necessary skills required to reverse engineer, put those skills to the test! This project involves utilizing skills you’ve learned to analyze a real-world malware sample. There are five challenges to complete. Each challenge requires you to find a specific piece of information about the malware sample through analysis and reverse engineering. You will use tools such as the SysInternals Suite, PEview, CFF Explorer, IDA, INetSim, FakeDNS and Wireshark to find the information for each challenge.
Syllabus
VirtualBox VM Setup
File — 00:10:00
Project tools
File — 02:00:00
Project files
File — 00:10:00
Reverse Engineering Project Challenges
File — 00:10:00
Challenge Walkthrough
Video — 00:02:24
Reverse Engineering Project Solutions
File — 00:10:00
Reverse Engineering Project Hints
Video — 00:15:10
Meet the author
Carolyn has been a malware reverse engineer for over nine years. She initially gained her reverse-engineering skill set in the US Navy, conducting malware analysis for defensive purposes, incident response and enabling exploitation operations. She is proficient at analyzing various types of binaries and working with many malware analysis tools and programming languages such as x86 assembly, C, C++ and Python. She also has three years’ experience as a computer forensic analyst conducting analysis on various media devices in search of malicious intrusions.
Carolyn has taken numerous malware reverse-engineering courses, at levels from beginner to advanced. She has also created numerous malware analysis training pipelines. She has her Bachelor of Science degree in computer networks and cybersecurity from the University of Maryland Global Campus, and has been SANS GIAC Reverse Engineering Malware (GREM)-certified since 2015.
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This has been utilized to bridge the skills gap across our cyber team and to aid them as they prepare for their various certifications. It also has provided a nice learning foundation for our various cyber team members to utilize as we continue to find ways for cross-utilization with operations while minimizing the downtime needed to ensure everyone’s knowledge is the same.
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