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

🧠 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

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