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In this short course, students learn how malware interacts with the underlying Operating System, how to go about identifying the functionality of malware, and how to perform large scale data analysis of malware. The course is an even mix of set lectures and laboratory work. In the laboratories, students will use tools to apply the concepts of static and dynamic analysis, data analytics, and manual reverse engineering.
The session starts with an overview of the history of malware, the motivations behind malware attacks and the different types of malware programs. We'll then look at how malware is delivered to the victim and analyse common attacks used to propagate malware.
Malicious Actions, Malware Delivery and Exploitation, Malware C2, Persistence and Evading Detection, Side Channel Attacks and Jumping Airgaps, Reverse Engineering Firmware and Embedded Devices, Interfacing with UART.
This session starts with an introduction to object file formats, common properties of object files, recognising object file formats and how malware modifies object files. We'll then discuss the role of the operating system in executing programs, linking and loading processes, and look at machine models and commonalties between Instruction Set Architectures.
Object File Formats – ELF, PE & Java CLASS, Linking and Loading, Object Code and Instruction Set Architectures, Debuggers.
We'll cover the different types of program representation and basic program analysis techniques including binary, data flow, optimisation, program, static and dynamic analysis. The role of automation and machine learning in the identification and prevention of malware attacks will also be discussed.
Program Representation, Dynamic Analysis, Program Analysis, Binary Program Analysis, Static Reverse Engineering.
The session provides an overview of malware detection and how to identify the origin of outbreaks. We'll cover how statistical machine learning enables us to learn what malicious behaviour looks like and how benign or malicious behaviour is classified.
Program Similarity, Program Classification and Clustering, Malware Obfuscation and Evasion, Code Packing Transformations and Unpacking, Malware Classification Using Weka.
Reverse engineers, malware analysts, anti-malware engineers, tool writers for malware analysis.
Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.