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Zeus Banking Trojan Malware Analysis

Overview

This repository documents my first-ever malware analysis project on the Zeus Banking Trojan. The project involved setting up a dedicated malware analysis lab, performing static and dynamic analysis, and documenting the findings in a detailed report.

The Zeus Banking Trojan is a well-known malware designed to steal banking credentials. I gained hands-on experience in reverse engineering, behavioural monitoring, and network traffic analysis through this analysis.

Project Highlights

  • Malware Analysis Lab:
    • Tools Used: REMnux, FLARE VM, VirtualBox
    • Lab Configuration: Isolated environment with INetSim for network simulation
  • Static Analysis:
    • Explored the malware's file structure, imports, and embedded strings
    • Created a custom YARA rule for Zeus detection
  • Dynamic Analysis:
    • Observed the malware's runtime behaviour using tools like ProcMon and Wireshark
    • Captured network traffic and analyzed its communication with a simulated C2 server

Lab Setup

The Images folder provides desktop images of the malware analysis environment. These include:

  • Screenshots of REMnux and FLARE VM desktops
  • Commands executed during the analysis process

Analysis Methodology

Static Analysis

  • Tools used: Strings, PE Studio
  • Identified:
    • Embedded strings
    • Suspicious imports and function calls
    • PE structure details

Dynamic Analysis

  • Tools used: INetSim, ProcMon, Wireshark
  • Observed:
    • Registry changes
    • File system activities
    • Network traffic patterns

Files in This Repository

  • Full analysis report documenting methodology, findings, and IoCs.
  • Images:
    • Photos of the lab environment and analysis steps, including:
      • REMnux desktop
      • FLARE VM setup
      • Commands executed during the analysis

Credits

  • Initial guidance from Hackersploit and HuskyHacks
  • Final lab setup and analysis inspired by Grant Collins' videos

References


Feel free to explore the repository and contact me via LinkedIn for discussions or feedback on this project!