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Malware Analysis Guide

This document outlines a basic approach to malware analysis, covering static and dynamic techniques, with a progression from basic to advanced methods.

1. Basic Static Analysis

Basic static analysis involves examining a malware sample without executing it. The goal is to quickly gather initial information and identify potential red flags.

Techniques:

  • Hashing:
    • Calculate the hash (e.g., MD5, SHA256) of the file.
    • Submit the hash to online services like VirusTotal to check if it's been previously identified as malicious. This provides immediate insight and avoids time spent on already known malware.
  • String Extraction:
    • Use strings64.exe (or similar tool) to extract printable strings from the executable.
    • Look for URLs, file paths, registry keys, and other indicators that could hint at the malware's functionality.
      • Note: This is most effective on non-obfuscated or unencrypted malware.
  • PE File Analysis:
    • Utilize a tool like PEStudio to inspect the Portable Executable (PE) header.
    • Analyze information such as:
      • Imported and exported functions
      • Section headers
      • Resource information
      • Dependencies
    • This provides a high-level view of how the executable interacts with the system.

2. Basic Dynamic Analysis

Basic dynamic analysis involves executing the malware in a controlled environment to observe its behavior. It's crucial to isolate this environment to prevent infection of your host system or network.

Setup:

  • Network Isolation:
    • Crucially Important: Create a dedicated, isolated VLAN (Virtual Local Area Network). Avoid using NAT (Network Address Translation), as this can potentially expose your host network.
    • This isolation prevents malicious activities from spreading to your personal computer or other systems.
  • Environment Options:
    • Beginner Friendly: FlareVM is a pre-configured virtual machine for malware analysis, offering a good starting point.
    • Custom Environment: For more control and learning, create your own environment (e.g., Debian for network simulation, Windows 10 Enterprise for the target machine.)
  • Recommended Setup:
    • Network Simulation: Use inetd (or inetsim) on your Debian system to mimic real internet services (DNS, HTTP). This will catch malware trying to communicate outside your environment.
    • Victim Machine: Use Windows 10 Enterprise with tools like flarevm or a custom setup tailored to your needs.
    • Note: Be cautious and meticulous with your setup. Many malware authors implement techniques to evade analysis.

Techniques:

  • Fake Network:
    • Monitor network activity to see if the malware attempts to connect to a Command and Control (C2) server.
    • inetsim can simulate network services and log DNS requests and HTTP requests.
  • Registry Monitoring:
    • Use Regshot to capture registry snapshots before and after executing the malware.
    • Compare the snapshots to identify any changes made by the malware. This is useful for identifying persistence mechanisms.
  • Process Monitoring:
    • Use Procmon64 to record all file system, registry, and network activities of the malware.
    • This provides a granular view of what the malware does.
  • Process Exploration:
    • Use Process Explorer to monitor active processes.
    • Watch for any abnormal processes, changes, or resource usage.

3. Advanced Static Analysis

Advanced static analysis requires more in-depth knowledge of assembly language and reverse engineering techniques.

Techniques:

  • Disassembly:
    • Use tools like Ghidra or IDA Pro to disassemble the malware's binary code.
    • Learn x86 assembly to understand the code flow.
    • Analyze function calls, control flow, and algorithms used by the malware.
    • Note: This technique takes time to learn and master. Start with learning ASM basics before jumping into a full-blown malware disassembling project.

4. Advanced Dynamic Analysis

Advanced dynamic analysis uses debuggers to control the execution of malware and examine its internal state.

Techniques:

  • Debugging:
    • Use debuggers such as x64dbg or x32dbg to step through the malware's code.
    • Set breakpoints, inspect registers, and examine memory to understand the logic behind the malware's actions.
    • This is the most powerful but also most complex form of malware analysis.
    • This also takes time to master. You will need to use debugging process in the beginning with some simple projects to see the functionality of a debugger

Important Notes:

  • Practice is key: Malware analysis is a skill that takes time and practice to master.
  • Start small: Begin with simpler malware samples before tackling more complex ones.
  • Stay updated: New malware techniques emerge constantly. Continuously learn and update your skills.
  • Be careful: Always practice safe analysis practices within isolated environments and take necessary precautions.

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