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This is an outline. The chapters below are the planned structure — the written material is not here yet, so there is no time estimate on this page. Everything already written is in the labs index.

🎯 What You'll Learn

  • Understand Splunk data sources and indexing
  • Write detection-focused SPL
  • Investigate AD and Windows attacks
  • Build alerts from searches

Overview

A SIEM is only as good as its searches. This lab teaches Splunk’s data model and detection-focused SPL to find Windows and Active Directory attacks in log data.

Core Topics

  • Splunk architecture
  • SPL for detection
  • Investigation workflow
  • Alerting

Prerequisites

A working KaliRange lab environment and comfort with the Linux command line.

  1. Spin up the target in your KaliRange lab environment and confirm connectivity.
  2. Enumerate the target thoroughly before touching any exploit — information first.
  3. Reproduce each technique by hand so you understand why it works, not just the command.
  4. Capture evidence (commands, output, screenshots) as you go.
  5. Write a short note on how a defender would detect or prevent what you just did.
💡

Only ever run these techniques against systems you own or have explicit written permission to test. Practise inside your own KaliRange lab.

Your Goal

Work through every task in your own lab, document your findings as you would on a real engagement, then note the defensive takeaways.

Ready to practise. Work through the steps above at your own pace, then move on to a related lab.

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