Basic Dynamic Analysis

In this course, you'll get to grips with malware and basic dynamic analysis.

6 videos  //  80 minutes of training

Course description

This course will teach you to conduct basic dynamic analysis, which consists of executing the malware sample in a virtual environment and using numerous tools to monitor the malware’s activity. You will learn to identify system changes made by the malware to include any file changes, registry changes, processes created and so on. You’ll also be able to identify and communicate with malicious network traffic generated by malware.

Course syllabus

What is Basic Dynamic Analysis?Duration: 2:56

Define basic dynamic analysis, procedures and tools used.

Running an ExecutableDuration: 13:29

Demonstrate running an executable and utilizing malware analysis tools to capture malicious activity.

Running a DLLDuration: 9:42

Demonstrate the various executables that can be used to run a malicious DLL and capture malicious activity.

File System ChangesDuration: 17:44

Utilize malware analysis tools to identify system changes by the malware such as files and/or registry keys created, deleted and modified.

Analyzing Malware Network TrafficDuration: 16:08

Analyzing malicious network traffic

Using INetSimDuration: 20:13

Using INetSim to mimic a command-and-control server to send and receive commands from malware

Meet the author

Carolyn

LinkedIn

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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  • 190+ role-guided learning paths and assessments (e.g., Incident Response)
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