Zeus Banking Trojan Detection and Analysis
Budget: $30 – $250 USD
Detecting and Analyzing the Zeus Banking Trojan
Objective
To detect and analyze the Zeus Banking Trojan using various tools and techniques, including:
Malware Simulation
Network Monitoring
Memory Analysis
Signature-Based Detection
The project will simulate a real-world SOC operation, where students will identify, analyze, and mitigate threats.
Structure
Roles:
Malware Analyst: Responsible for executing and analyzing malware behavior.
Network Security Specialist: Monitors and analyzes network traffic.
Memory Forensics Specialist: Conducts memory dump analysis.
Threat Hunter: Develops YARA rules and handles threat detection.
Project PhasesPhase
1: Malware Simulation
Goal: Safely simulate Zeus Trojan execution.
Tasks:
Set up an isolated virtual environment using VMware or VirtualBox.
Download Zeus Trojan binary from theZoo repository.
Execute the Trojan within the virtual machine (VM) to observe its behavior.
Deliverables:
Document the setup process and observations.
Ensure the environment is isolated to prevent malware spread.
Phase 2: Network Monitoring with Suricata
Goal: Monitor network traffic and detect Zeus-specific patterns.
Tasks:
Install and configure Suricata on the VM.
Use default Suricata rules to detect common threats.
Write custom Suricata rules to identify Zeus-related network patterns, including C2 communication.
Forward Suricata alerts to Splunk for centralized analysis.
Deliverables:
Custom Suricata rules.
Suricata logs demonstrating Zeus detection.
Splunk dashboard with Suricata alert integration.
Phase 3: Log Correlation in Splunk
Goal: Integrate Suricata logs into Splunk for advanced correlation.
Tasks:
Ingest Suricata logs and system logs into Splunk.
Create correlation rules to:
Detect abnormal outbound traffic (e.g., Zeus C2 communication).
Link network anomalies with system activities (e.g., file creation, process execution).
Develop visual dashboards to track malicious activity trends.
Deliverables:
Splunk correlation rules.
Dashboards visualizing Zeus activity.
Document detailing Splunk setup and insights.
Phase 4: Memory Analysis with Volatility
Goal: Perform memory forensics to detect Zeus processes and connections.
Tasks:
Capture a memory dump from the infected VM using tools like DumpIt.
Use Volatility to:Identify active and injected processes related to Zeus.
Analyze network connections initiated by Zeus.
Document the findings.
Deliverables:
Memory dump file (if permissible).
Volatility output demonstrating Zeus artifacts.
Report on findings and methodologies.
Phase 5: Detection with YARA
Goal: Use YARA rules to detect Zeus-related patterns in binaries and memory dumps.
Tasks:
Write custom YARA rules targeting Zeus artifacts in:Binaries Configuration files
Memory dumpso o Scan the infected system and memory dumps with YARA.
Document the detection process and results.
Deliverables:
YARA rules repository.
Logs or screenshots of YARA detections.
Report detailing YARA implementation and findings.
Final Deliverables:
1. GitHub Repository:
Project code (Suricata rules, YARA rules).
Configurations and setup instructions.
A written walkthrough of the entire project.
2. YouTube Walkthrough:Step-by-step explanation of the project.
Demonstration of key phases and findings.
3. Documentation:
README file with clear setup instructions and usage details.
Technical report summarizing findings and insights.
Objective
To detect and analyze the Zeus Banking Trojan using various tools and techniques, including:
Malware Simulation
Network Monitoring
Memory Analysis
Signature-Based Detection
The project will simulate a real-world SOC operation, where students will identify, analyze, and mitigate threats.
Structure
Roles:
Malware Analyst: Responsible for executing and analyzing malware behavior.
Network Security Specialist: Monitors and analyzes network traffic.
Memory Forensics Specialist: Conducts memory dump analysis.
Threat Hunter: Develops YARA rules and handles threat detection.
Project PhasesPhase
1: Malware Simulation
Goal: Safely simulate Zeus Trojan execution.
Tasks:
Set up an isolated virtual environment using VMware or VirtualBox.
Download Zeus Trojan binary from theZoo repository.
Execute the Trojan within the virtual machine (VM) to observe its behavior.
Deliverables:
Document the setup process and observations.
Ensure the environment is isolated to prevent malware spread.
Phase 2: Network Monitoring with Suricata
Goal: Monitor network traffic and detect Zeus-specific patterns.
Tasks:
Install and configure Suricata on the VM.
Use default Suricata rules to detect common threats.
Write custom Suricata rules to identify Zeus-related network patterns, including C2 communication.
Forward Suricata alerts to Splunk for centralized analysis.
Deliverables:
Custom Suricata rules.
Suricata logs demonstrating Zeus detection.
Splunk dashboard with Suricata alert integration.
Phase 3: Log Correlation in Splunk
Goal: Integrate Suricata logs into Splunk for advanced correlation.
Tasks:
Ingest Suricata logs and system logs into Splunk.
Create correlation rules to:
Detect abnormal outbound traffic (e.g., Zeus C2 communication).
Link network anomalies with system activities (e.g., file creation, process execution).
Develop visual dashboards to track malicious activity trends.
Deliverables:
Splunk correlation rules.
Dashboards visualizing Zeus activity.
Document detailing Splunk setup and insights.
Phase 4: Memory Analysis with Volatility
Goal: Perform memory forensics to detect Zeus processes and connections.
Tasks:
Capture a memory dump from the infected VM using tools like DumpIt.
Use Volatility to:Identify active and injected processes related to Zeus.
Analyze network connections initiated by Zeus.
Document the findings.
Deliverables:
Memory dump file (if permissible).
Volatility output demonstrating Zeus artifacts.
Report on findings and methodologies.
Phase 5: Detection with YARA
Goal: Use YARA rules to detect Zeus-related patterns in binaries and memory dumps.
Tasks:
Write custom YARA rules targeting Zeus artifacts in:Binaries Configuration files
Memory dumpso o Scan the infected system and memory dumps with YARA.
Document the detection process and results.
Deliverables:
YARA rules repository.
Logs or screenshots of YARA detections.
Report detailing YARA implementation and findings.
Final Deliverables:
1. GitHub Repository:
Project code (Suricata rules, YARA rules).
Configurations and setup instructions.
A written walkthrough of the entire project.
2. YouTube Walkthrough:Step-by-step explanation of the project.
Demonstration of key phases and findings.
3. Documentation:
README file with clear setup instructions and usage details.
Technical report summarizing findings and insights.