FORENSICS CASE FILE

🔬 Tracking a DDoS Attack

Follow the evidence. Reconstruct the attack. Identify what happened.

📂 Case Opened

Date: July 18

Time: 14:22 UTC

A major e-commerce website suddenly becomes unavailable.

Thousands of customers report errors.

Revenue is dropping every minute.

Your job: Determine what happened.

🧩 Evidence Board

📄 Firewall Logs
📊 Traffic Reports
🌐 Network Flows
🖥 Server Metrics
⏰ Event Timeline

🔍 Clue #1

At 14:21 UTC traffic increased by 1500%.

Most requests originated from thousands of different IP addresses.

The pattern does not resemble normal customer behavior.

🔍 Clue #2

Web server CPU utilization reached 98%.

Database utilization remained normal.

This suggests the attack targeted the web layer rather than backend systems.

🕵️ Investigation Questions

  • What changed first?
  • Which systems failed first?
  • Was traffic legitimate?
  • Which resources were exhausted?
  • How quickly was the attack detected?

⏳ Reconstructed Timeline

14:21

Traffic spike begins.

14:22

Monitoring alerts triggered.

14:24

Users report service issues.

14:30

DDoS confirmed.

14:42

Mitigation activated.

15:05

Services stabilized.

📓 Analyst Notes

The goal of network forensics is not simply identifying an attack.

It is understanding:

  • How the attack occurred
  • What systems were affected
  • What evidence exists
  • How future incidents can be prevented

🛠 Common Investigation Tools

📡 NetFlow Analysis
📄 Log Analysis
📈 SIEM Platforms
🌐 Packet Inspection
🔍 Threat Intelligence

🎯 Investigator Challenge

Imagine you receive:

  • Firewall logs
  • Traffic reports
  • Server metrics

Which source would you analyze first and why?

There is no perfect answer.

The key is learning how evidence fits together.

🤖 Forensics Exercise

Act as a network forensics investigator. Walk me through a DDoS investigation. Show: – Evidence collection – Log analysis – Timeline reconstruction – Root cause identification – Lessons learned Use a realistic incident scenario.
NEXT CHAPTER

🏰 Building a DDoS-Resilient Infrastructure

Learn how modern companies design systems that stay online during massive attacks.