Advanced static analysis Course

In this course, you'll explore advanced static analysis.

1 hour, 29 minutes

Course description

Advanced static analysis gives us a deeper dive into a malicious file. It includes looking at the malicious file's assembly code to better understand the malware’s functionality and behavior. You will learn to better understand x86 assembly, identify many C code constructs in assembly and identify malicious functions in a malware sample.

Syllabus

Analyzing functions

Video - 00:13:00

Demonstrate analysis of a sample malware's functions in assembly to understand malicious activity that occurs.
Analyzing imports and exports

Video - 00:34:00

Demonstrate cross-referencing imports and exports in IDA to find and identify malicious activity in a piece of malware.
Identifying C code constructs

Video - 00:13:00

Identify various C code constructs such as loops, if/else statements, case switches and local/global variables in assembly.
Using IDA Pro

Video - 00:18:00

Demonstrate IDA Pro to gain basic knowledge of the various windows and shortcuts that will be used in IDA Pro.
x86 assembly

Video - 00:08:00

An overview of the x86 assembly language.
What is advanced static analysis

Video - 00:03:00

Define advanced static analysis to include an overview of x86 assembly and tools used.

Meet the author

Carolyn Ahlers

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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