- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Security
Monitoring and Detection: Elastic Stack
In this lab, you’ll practice ELK stack data analysis. When you’re finished, you’ll have the knowledge to determine potential attacks based on careful analysis of available information, including packetbeat/filebeat log data. .
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
Navigating the Kibana Interface
This challenge will familiarize participants with the ELK stack by exploring the Kibana interface, the visualization and management tool of the Elastic Stack. This challenge provides a guided walkthrough of Kibana's core features, helping you understand how to visualize network traffic data effectively.
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Challenge
Identifying Port/Protocol Mismatches
This challenge will task participants with reviewing network traffic data to identify discrepancies between port numbers and their expected protocols. Such mismatches may signal misconfigurations, unauthorized services, or malicious activities. Utilizing the pre-collected Zeek/Filebeat dataset, the goal is to discern and scrutinize these anomalies for insight into their origins and implications.
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Challenge
Detecting Beaconing Hosts
This challenge requires participants to sift through network traffic data to detect hosts demonstrating regular, periodic communication with external servers—behavior indicative of command and control (C2) server interactions. The task of leveraging pre-captured Packetbeat data and simulated beaconing traffic is to identify these clandestine communications, analyze their frequency, and investigate the involved external entities.
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Challenge
Uncovering Data Exfiltration Attempts
For this challenge participants are charged with examining outbound network traffic to unearth indicators of data exfiltration. By scrutinizing traffic for volume, frequency, and destination anomalies, the objective is to detect unusual patterns potentially indicative of unauthorized data transfers. Using simulated exfiltration activities, the aim is to identify these attempts and comprehend their execution mechanisms.
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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.