Undergraduate Certificate in Malware Analysis with Python Scripting

This course is designed for students and professionals with a foundational knowledge of computer science who wish to enhance their skills in analyzing and mitigating malware threats. Through hands-on Python scripting, learners will develop the ability to write custom scripts for malware detection, analysis, and removal, thereby strengthening their cybersecurity expertise.

Upon completion, participants will gain proficiency in using Python for malware analysis, understand the lifecycle of malware, and be capable of creating tools to automate the analysis process, equipping them with the skills needed to protect digital assets against sophisticated cyber threats.

1. 1. Introduction to Malware Analysis: Learners will be introduced to the basics of malware, including types of malware, infection vectors, and analysis tools. They will gain foundational knowledge necessary for understanding and analyzing malware.
2. 2. Reverse Engineering Fundamentals: Learners will study the principles of reverse engineering, focusing on binary analysis and disassembly techniques. They will gain practical skills in using tools like IDA Pro and Ghidra to reverse engineer malware samples.
3. 3. Malware Detection Techniques: Learners will explore various methods for detecting malware, including signature-based detection, behavior-based detection, and heuristic analysis. Practical skills in setting up and configuring antivirus solutions will be developed.
4. 4. Python Scripting Basics: Learners will learn the fundamentals of Python, including syntax, data structures, and basic programming concepts. They will gain the ability to write simple scripts for automating tasks and processing data.
5. 5. Automating Malware Analysis with Python: Learners will apply Python scripting to automate the analysis of malware samples. They will develop skills in using Python to parse binary data, extract metadata, and perform automated analysis.
6. 6. Reverse Engineering with Python: Learners will use Python to enhance reverse engineering tasks, automating aspects of disassembly and code analysis. They will gain experience in writing scripts to assist with deobfuscation and reverse engineering of malware.
7. 7. Advanced Malware Analysis Techniques: Learners will delve into advanced techniques for analyzing complex malware, including unpacking, unpacking detection, and analysis of polymorphic malware. Practical skills in using advanced analysis tools and writing scripts to automate these tasks will be developed.
8. 8. Malware Writing and Exploitation: Learners will gain an understanding of how malware is created and how it exploits vulnerabilities. They will write simple malware samples and learn about common exploitation techniques, enhancing their knowledge of both offense and defense in cybersecurity.
9. 9. Malware Analysis in a Linux Environment: Learners will learn how to analyze malware in a Linux environment, including using command-line tools and understanding system calls. Practical skills in setting up and using Linux-based analysis environments will be developed.
10. 10. Capstone Project: Malware Analysis and Mitigation: Learners will apply their knowledge and skills to complete a capstone project involving the analysis of a complex malware sample, including writing scripts to automate parts of the analysis process and developing strategies for mitigating the effects of the malware.