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Azure Honeynet SOC Lab (Microsoft Sentinel)

Overview

In this project, I built a simple honeynet in Microsoft Azure to see what happens when a machine is exposed to the internet.

I created a Windows virtual machine, opened it up to incoming traffic, and used Microsoft Sentinel to monitor and analyze real attack activity (mainly RDP brute-force attempts).


Tools & Technologies

  • Microsoft Azure (VMs, Networking)
  • Microsoft Sentinel
  • Log Analytics Workspace
  • Windows Event Logs
  • KQL (Kusto Query Language)

Architecture

! Architecture Diagram ( imagesarchitecture png)

The setup includes:

  • A Windows VM exposed to the internet
  • Logs sent to Log Analytics
  • Microsoft Sentinel for monitoring
  • GeoIP mapping to visualize attacker locations

What I Did

1. Set Up the Environment

  • Created a resource group and virtual network in Azure
  • Deployed a Windows VM with a public IP
  • Opened RDP (port 3389) to allow inbound traffic named= "DANGER-ANYTRAFFIC"
image image image

2. Created the Honeynet

  • Left the VM exposed on purpose (Disabled Firewall)
  • Allowed anyone on the internet to attempt login
  • This attracted real-world attack traffic
image

3. Collected Logs

  • Connected the VM to Log Analytics
  • Enabled Windows Security logs
  • Focused (filtered) on failed login attempts (Event ID 4625)
Screenshot 2026-05-21 133248

4. Monitored Activity in Sentinel

  • Connected Log Analytics to Microsoft Sentinel
  • Wrote simple KQL queries to find:
    • Failed login attempts
    • Repeated login attempts from the same IP
  • Identified clear brute-force behavior
image Screenshot 2026-05-21 133355 Screenshot 2026-05-21 133518

5. Visualized the Attacks

  • Used GeoIP data to map attacker locations
  • Built a workbook to show:
    • Where attacks were coming from
    • How often they were happening
Screenshot 2026-05-21 133607 Screenshot 2026-05-21 133642 Screenshot 2026-05-21 133827

What I Found

  • The VM started getting attacked About 2 hours after being exposed, and inceased as time goes on
  • Most activity was repeated failed RDP logins
  • Many attempts came from the same IPs (likely automated)
image

What I Learned

  • Exposed systems get targeted very quickly
  • Logs are critical for understanding what’s happening
  • SIEM tools like Sentinel make it much easier to detect patterns
  • Even simple setups can show real attack behavior

💡 Skills I Practiced

  • Setting up a SIEM (Microsoft Sentinel)
  • Analyzing logs using KQL
  • Detecting brute-force attacks
  • Working with Azure cloud services
  • Visualizing security data

🎥 Project Walkthrough Video

https://youtu.be/C43Mw3vQxsk

About

Cloud-based honeynet and SIEM lab built in Microsoft Azure using Microsoft Sentinel, Log Analytics Workspace, and attack telemetry visualization.

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