Mirai Source Code (FOR EDUCATIONAL & RESEARCH| README.md | You’re reading it |

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🔧 Requirements

Before building and running this code, ensure you have the following installed on a Linux host:

• gcc - GNU Compiler Collection
• golang - Go programming language
• electric-fence - Memory debugging library
• mysql-server - MySQL database server
• mysql-client - MySQL database client
• build-essential - Essential build tools
• crossbuild-essential-armel - Cross-compilation tools for ARM

Additional Resources:

• For detailed setup instructions and background information, refer to the original leak post in ForumPost.txt or view the formatted version at ForumPost.md.

⚠️ CRITICAL DISCLAIMER
This repository contains the leaked source code of the Mirai botnet, originally created to infect IoT devices and launch large-scale DDoS attacks. This code is provided strictly for cybersecurity research, reverse engineering, malware analysis, and detection development purposes only.

⚠️ WARNING: Do not use this code to attack or scan any real devices or networks. Unauthorized use is illegal and violates GitHub policy.

🛡️ SECURITY NOTICE: The zip file for this repo is being identified by some AV programs as malware. Please take caution.

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📋 Table of Contents

• About Mirai
• Repository Structure
• Requirements
• How to Use (Lab Research Only)
• Learning Use Cases
• Do NOT Use For
• References
• Credits
• Acknowledgments

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📌 About Mirai

Mirai is a malware botnet that infects Internet of Things (IoT) devices using default or weak login credentials. Once infected, these devices are controlled by a command-and-control (CnC) server and can be used to launch DDoS attacks.

This repo is a fork of the original leaked source code and includes components such as:

• The bot (runs on IoT devices)
• The CnC server
• The loader (infects devices)
• Scanning and deployment scripts

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📁 Repository Structure

Folder/File	Description
mirai/	Core malware source code (bot + CnC server)
loader/	Infects vulnerable devices using telnet brute-force
dlr/	Possibly supports payload delivery (optional)
scripts/	Scripts for building and managing the malware
ForumPost.txt	Original forum post by author explaining Mirai
LICENSE.md	License as included in original leak (not official)
README.md	You’re reading it

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⚙️ How to Use (FOR LAB RESEARCH ONLY)

You must use isolated VMs or an offline network. Never run this on a real device or public network.

🔧 1. Prerequisites

Install on a Linux host:

sudo apt update
sudo apt install gcc make build-essential git crossbuild-essential-armel -y

🔨 2. Clone the Repository

git clone https://github.com/jgamblin/Mirai-Source-Code.git
cd Mirai-Source-Code

🔨 3. Build the Bot and CnC

./build.sh

This will:

• Cross-compile the bot for different IoT architectures (MIPS, ARM, etc.)

• Compile the CnC server for your local machine

You can customize the build script and source code paths if needed.

🧪 4. Setup a Test Lab (Recommended)

Create a virtual lab with:

• 1 Ubuntu VM for CnC and loader

• 1 or more OpenWRT/Linux VMs simulating IoT devices

Use Host-Only or Internal Networking mode to keep the lab isolated.

🕹 5. Running Components

• Start the CnC server (mirai/cnc/cnc)

• Run the loader to infect virtual IoT VMs

• Observe communication logs, infection, and payload delivery

✅ Learning Use Cases

You can use this source code to:

• Understand how botnets spread through weak credentials

• Reverse engineer malware behavior

• Write intrusion detection rules (YARA, Snort, Suricata)

• Develop antivirus and botnet defenses

• Study CnC-to-bot protocol and build simulators

❌ Do NOT Use For

• Scanning or infecting real IoT devices

• DDoS attacks

• Deploying the bot to the public internet

Any such use is illegal and against GitHub policy.

📚 References

• Original Leak on Hackforums (2016)
• DDoS Analysis of Mirai by MalwareMustDie
• US-CERT Alert TA16-288A

👨‍💻 Credits

Original Author: Anna-senpai - Original Mirai botnet source code leak (2016)
Note: The original forum appears to be inactive as of now.

🙏 Acknowledgments

Special thanks to Pushpenderrathore for the improved README structure and comprehensive documentation that makes this educational resource more accessible for cybersecurity research.