Malware analysis and reverse engineering
What you'll learn
- Topology of malware (what is virus, Trojan, worm, ransomware, rootkit, etc.)
- How to reverse engineer software in general
- How to perform static and dynamic analysis of malware
- History of malware (from Brain.A to Stuxnet and beyond)
- How to build signatures to stop malware
- How to use artificial intelligence and machine learning in malware analysis
- Basics of operating systems (especially windows)
- Basics of programming
- Basics of networking protocols
- Eagerness to learn
Every cyber-attack utilizes some malicious code and some malware. The average loss that a company suffers from a single malware attack is $2.4 million. Companies around the world are losing billions of dollars every year because of information security breaches usually caused by malware. The number of malware attacks grows yearly at an exponential rate. Malicious code or malware is a piece of code that intends to harm or disrupt computer operation of the victim. If you want to understand how malware and cyber-attacks work, this is the right course for you. In this course, you will learn how to analyse malware and incidents that happened using the malicious code.
This course is intended for anyone who wants to know how malware analysis and reverse engineering of software is performed. This course can train you for a career in any of the anti-virus companies around the world or can give you skills that you can use to analyse and stop breaches to the networks of organizations you work with.
The course is tough by Dr. Nikola Milosevic, a PhD in computer science with track record of publications and successful projects in information and cyber-security. Nikola is OWASP chapter and project leader and has been teaching on several reputable Universities over the past 5 years. I have also published scientific papers on malware analysis. Now he wants to share this knowledge with you and help you develop your career!
This course will teach you the following:
History of malware and malicious software on PC (from Brain.A to Stuxnet and further)
The topology of malware (you will learn what is virus, worm, Trojan, rootkit, ransomware, mobile malicious code, etc.)
How malicious software work and propagate, how they use exploits
How to build your own malware analysis lab
How to perform static and dynamic malware analysis
How to apply your skills to reverse engineer non-malicious software and gain insight into how they operate
How AI and machine learning can help to detect malware
In this course, you will also learn how to fingerprint malware and use tools like WinMD5, Strings, PEid, Dependency Walker, Resource Hacker, WinHex, OllyDbg, IDA Pro, Process Monitor, Process Explorer, RegShot, Wireshark, NetCat, etc.
The course does not require any particular previous knowledge, apart from your apatite to learn and basics of networking, how operating systems work and a tiny bit of programming. However, if you are versed in computer science and interested in security, this is the right course for you.
Go ahead and enroll!
Who this course is for:
- People who would like to expand their knowledge in malware analysis
- Information and cyber security professionals and hobbyists
- Beginner reverse engineers
- People wanting to expand their knowledge and protect themselves against threats online
Nikola got his PhD in computer science in 2018 from the University of Manchester. Before doing a PhD he obtained a wide experience in industry positions raging from startup companies to large corporations. He has published a number of papers in the areas of artificial intelligence (AI), machine learning, text mining, natural language processing and cyber-security. Nikola is OWASP chapter and project leader.