Course 41 - Analyzing Attacks for Incident Handlers | Episode 4: Live Memory Forensics, VM Troubleshooting, and Malware Analysis

🧠 Live Memory Forensics Lab — Mandiant Redline (Full Workflow)🎯 Lab ObjectivePerform a real-world memory forensic investigation on an infected Windows VM using Mandiant Redline, covering:Infection → Data Collection → Transfer → Analysis → IOC Identification🧪 Lab OverviewEnvironment: Target: Windows 7 Virtual Machine (infected) Malware Sample: her.exe (Dyre/Dridex family behavior) Tool: Mandiant Redline ⚠️ Critical Rule❌ NEVER analyze forensic data on the infected machine ✅ ALWAYS transfer to a clean analysis system🔧 Part 1: Operational Reality & Troubleshooting💣 Step 1: Execute Malware (Inside VM Only) Run her.exe Allow infection to occur Observe system behavior (optional monitoring) 📥 Step 2: Run Redline Collector Perform memory audit Output size: ~9 GB 🚧 Problem: Data Transfer FailureLarge forensic data often: Fails to copy Gets interrupted Exceeds VM limitations 🛠️ Troubleshooting Techniques1. Network ReconfigurationSwitch VM network mode: From: Host-Only To: NAT (Network Address Translation) ✔ Enables outbound communication ✔ Allows file transfer2. Smart Data ReductionInstead of copying full audit: Locate Sessions Folder Copy ONLY: Sessions/ directory 🔥 Why This Works Sessions folder contains analysis-ready data Avoids transferring unnecessary bulk files 🧠 Key InsightReal DFIR work includes solving infrastructure problems — not just analysis🔍 Part 2: Deep-Dive Forensic Investigation🧾 Step 1: Load Data into Redline Open Sessions folder Begin analysis on clean machine 📊 Investigation Areas1. 🖥️ System InformationCollect: Operating System IP Address MAC Address RAM Size Logged-in Users 🎯 Purpose: Establish investigation baseline Required for incident reporting 2. 🌐 Listening PortsAnalyze: Active ports Open sockets External connections 🚨 Look for: Unknown ports Suspicious outbound traffic Mapping to malicious processes 💡 Example: Malware (ELC / ELIC) tied to network activity 3. 🔤 Strings & Memory ArtifactsExtract: Command-line activity File paths Embedded indicators 🎯 Goal: Identify what executed in memory Reveal hidden behavior 4. 🗃️ Registry PersistenceTechnique: Sort registry keys by: Last Modified Time 🚨 Look for: Recent suspicious changes Auto-start entries Persistence mechanisms 🔥 Key Insight:Attackers modify registry to survive reboot5. 🌳 Process Hierarchy (CRITICAL)Analyze process tree:Track execution flow:her.exe → spawns → ech.exe → further activity 🚨 Look for: Parent-child relationships Hidden or injected processes Unusual process chains 💡 Example Behavior: her.exe (initial payload) spawns hidden process ech.exe 6. 🧬 Indicators of Compromise (IOCs)Use: Known malicious hashes Threat intel feeds Redline Capabilities: Auto-flag suspicious artifacts Search across memory dataset 🎯 Goal: Confirm malicious presence Identify scope of compromise 🧠 Investigation MindsetYou are answering: What executed? What changed? What communicated externally? How did it persist? ⚠️ Key Challenges Highlighted Large data handling (GB-scale) VM networking issues Data transfer limitations Environment troubleshooting 🧠 Key Takeaways Memory analysis is data-heavy and complex Operational issues are part of real DFIR work Process trees reveal true attack flow Registry analysis exposes persistence Network artifacts expose exfiltration 🚨 Golden DFIR WorkflowInfect → Capture → Isolate → Transfer → Analyze → Correlate → Report📌 Pro Tips (Real-World) Always plan for large data transfers Know basic networking (NAT, adapters) Focus on sessions, not raw dumps Correlate findings across: Memory Network Registry You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy