Miasma: A tool to trap AI web scrapers in an endless poison pit

Deploy Miasma to create an 'endless poison pit' for AI web scrapers. This tool detects and traps AI agents, consuming their resources and preventing unauthorized data extraction, thus protecting your intellectual property and server bandwidth.

intermediate30 min5 steps

The play

Clone the Miasma Repository
Obtain the Miasma source code by cloning its GitHub repository to your local machine.
Install Dependencies
Install all required Python packages using pip. It's recommended to do this in a virtual environment.
Configure the Honeypot
Edit `config.py` to customize the honeypot's behavior. Adjust parameters like `HONEYPOT_WORD_COUNT`, `HONEYPOT_LINK_COUNT`, and `HONEYPOT_DEPTH` to control the deceptive content generated. Consider setting `HONEYPOT_MIN_DELAY` and `HONEYPOT_MAX_DELAY` to simulate realistic page load times.
Launch Miasma
Start the Miasma server. By default, it runs on port 8000. Ensure this port is accessible to potential scrapers.
Expose and Monitor
Integrate Miasma into your web infrastructure (e.g., as a subdomain or specific path) to expose it to AI scrapers. Monitor its logs for activity and trapped agents.

Starter code

git clone https://github.com/austin-weeks/miasma.git
cd miasma
pip install -r requirements.txt
# Edit config.py for your desired honeypot settings
python main.py

Source

Repogithub.com