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.
5 Steps
- 1
Clone the Miasma Repository: Obtain the Miasma source code by cloning its GitHub repository to your local machine.
- 2
Install Dependencies: Install all required Python packages using pip. It's recommended to do this in a virtual environment.
- 3
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.
- 4
Launch Miasma: Start the Miasma server. By default, it runs on port 8000. Ensure this port is accessible to potential scrapers.
- 5
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.
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