- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Security
Malware Behavior Detection and Correlation
In this lab, you will develop core cybersecurity skills by performing log ingestion, analysis, and visualization to detect Indicators of Compromise (IOCs). You will learn to ingest and parse system logs using the ELK stack, analyze authentication attempts and process execution logs to identify suspicious activity, and create dynamic visualizations to trace malware propagation. By the end of the session, you will be proficient in configuring Filebeat for log ingestion, querying logs in Kibana to detect malicious behavior, and building dashboards to enhance monitoring and investigation capabilities. These techniques will empower you to effectively detect, investigate, and respond to potential security incidents.
Lab Info
Table of Contents
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Challenge
Getting Started in the Lab Environment
Here are the initial instructions and explanation of the lab environment. Read this while your environment is busy creating itself from nothing. Yes, this violates physics; we know. How fun!
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Challenge
Log Ingestion and Kibana Setup
In this challenge, you will ingest pre-captured Ubuntu logs (auth.log, syslog, and audit.log) into an ELK stack. To ensure proper ingestion into Elasticsearch, you will configure Filebeat to parse these logs. Then, verify the ingested data using Elasticsearch API calls and set up Kibana data views for comprehensive log analysis. This challenge emphasizes hands-on practice with ELK stack configuration and log ingestion—key skills for monitoring and analyzing system activity.
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Challenge
Analyzing Logs for Malware Activity
In this challenge, you will analyze logs to detect potential malware activity. Examine logs for unusual authentication attempts, suspicious command executions, and signs of lateral movement. Using Kibana, you will query specific events such as repeated failed login attempts or privilege escalation commands to identify Indicators of Compromise (IOCs). This challenge emphasizes the importance of correlating events across logs using timestamps to reconstruct potential attack patterns and detect malicious activity.
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Challenge
Visualizing Malware Activity with Kibana
In this challenge, you will create visualizations in Kibana to enhance malware detection and track activity across logs. You will build bar charts, pie charts, and line graphs to represent key events, including failed logins, suspicious commands, and outbound network activity. After creating these visualizations, you will consolidate them into a dynamic dashboard for streamlined monitoring and analysis. By completing this challenge, you will learn how to leverage visualization tools for actionable insights, improving your ability to detect and respond to malware-related incidents in real time.
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Challenge
The Last Challenge
Welcome to the final challenge! This is your last chance to experiment in the environment. Clicking Finish Lab will end this little world that flittered into existence just for you.
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
Follow your guide
All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.