Automated Kubernetes Forensics: A Practical Threat Hunting Lab for Real-World Investigations

🚨 Automated Kubernetes Forensics Lab | Memory Dump + Threat Hunting (DFIR Demo) + Automated Report

⚠️ What if you could detect a breach in your Kubernetes cluster, collect forensic evidence, analyze threats, and generate a full incident report — automatically, in minutes?

This lab simulates attacker behavior inside a Kubernetes cluster — including #reverseshells, #persistence, #memory dumping, and automated evidence collection.

🎥 In this hands-on demo, you’ll learn how to:
✅ Detect breaches in real time using kubectl, kubeadm, and audit logs
✅ Collect forensic data from containers and nodes
✅ Run automated threat analysis using custom detection logic
✅ Generate full PDF/HTML reports with a single command

🔍 Ideal for:
• SOC Analysts
• DFIR & Incident Response Teams
• DevSecOps Engineers
• Cloud-Native Threat Hunters

🧰 Tools Covered:
• Bash-based automation
• Forensic hooks in kubectl, kubeadm, and kind
• Custom detection snippets & logic
• Kubernetes audit log parsing
• Auto-generated reporting pipeline

📌 Watch now and comment below:
How do you automate Kubernetes forensics and incident response?

Github repo link -- https://github.com/deep1792/threat-hunting/tree/main/Kubernetes-forensics

#kubernetes #cloudsecurity #cloudnative #infosec #devsecops #incidentresponse #threathunting #automation #cybersecurityuae #cyberattack #datasecurity #ethicalhacking

Видео Automated Kubernetes Forensics: A Practical Threat Hunting Lab for Real-World Investigations канала deepanshu khanna