Malware Forensics and Binary Analysis Techniques

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2025057472
S$1,425
Original: S$2,850
Save S$1,425

About This Course

At the end of the programme, participants will be able to:
• Understand the fundamentals of malware forensics and binary analysis
• Perform basic and advanced static analyses of malware and unknown binary files
• Perform basic and advanced dynamic analyses of malware and unknown binary files
• Set up a safe sandbox environment and utilise binary analysis tools, particularly on Windows malware and binary files

What You'll Learn

Malware or malicious software poses serious problems to individuals and businesses in today's connected digitalised world. To deal with this increasing threat, cyber forensics investigators and security analysts also need to know and master key techniques for conducting malware forensics and binary analysis. This programme provides an introduction to fundamental techniques and useful tools for performing malware forensics and binary analysis. Participants will gain a good understanding of malware forensics fundamentals, as well as key techniques for performing static and dynamic analyses of malware and unknown binary files, particularly in widely used Windows environment. Moreover, with a hands-on approach taken by this programme, participants will gain practical exposure to various malware and binary analysis tools.
This programme aims to provide participants with a foundation in:
• Overview of malware and possible analysis techniques
• Basic static analysis techniques
• Basic dynamic analysis techniques
• Advanced static analysis techniques
• Advanced dynamic analysis techniques
• How to set up a safe sandbox environment and utilise binary analysis tools, particularly on Windows malware and binary files

Entry Requirements

• At least a polytechnic diploma (or equivalent)
• Knowledge of basic cybersecurity and cyber forensics, Windows and Linux Operating Systems, basic computer networking

Course Details

Duration 21 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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