🧠 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:
🔥 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:
🚨 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:
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