This repository contains an educational example of a Python-based ClickBot. The code was generated using a large language model to demonstrate how click fraud can be performed using fake IP addresses, rotating proxies, and deceptive traffic patterns. Its primary goal is to raise awareness about the risks of automated ad fraud and how such attacks are orchestrated.
💡 If you're a company or developer looking to protect your ad spend from such threats, reach out to us at 24metrics.com.
- ✅ Proxy support to simulate IPs from various locations and ISPs
- ⏱️ Randomized click intervals to mimic human behavior
- 🌍 Automatic IP location/ISP rotation
- 🌐 Spoofed HTTP headers (e.g. Referer) to fake origins from popular sites like YouTube, Facebook, or Google
- 🧪 Fully scriptable and extendable for demo or research use
This project is intended strictly for educational use. Do not deploy this code for malicious or commercial purposes. Running a click bot against real platforms without permission violates Terms of Service, ad network policies, and potentially local laws.
We do not condone or support any misuse of this code. Use responsibly.
You can read the full breakdown and purpose of this project in our blog post:
👉 Building a Malicious Clickbot
- Python 3.7+
- Standard Python libraries (e.g.,
random,time,http.client, etc.) - A valid proxy provider account (e.g., Geonode)
# Clone the repository
git clone https://github.com/svenhezel/clickbot
cd clickbot-malicious
# (Optional) Create a virtual environment
python3 -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows
# Run the script
python clickbot.py