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

GitHub - austin-weeks/miasma: Trap AI web scrapers in an endless poison pit.

github.com

March 29, 2026

3 min read

Summary

Miasma is a tool designed to trap AI web scrapers by redirecting malicious traffic to a server that delivers poisoned training data and self-referential links. It aims to protect public websites from unauthorized data scraping by overwhelming scrapers with irrelevant information.

Key Takeaways

  • Miasma is a tool designed to trap AI web scrapers by directing them to a server that provides poisoned training data.
  • The tool can be installed using Cargo or by downloading a pre-built binary, and it has a minimal memory footprint.
  • Miasma allows users to configure options such as the maximum number of in-flight requests and the link prefix for self-directing links.
  • Users are advised to protect friendly bots and search engines by specifying rules in their robots.txt file.

Community Sentiment

Negative

Concerns

  • The proposed method to trap web scrapers may simply provide them with training material to improve their evasion techniques, highlighting an ongoing arms race.
  • Many commenters express skepticism about the effectiveness of these techniques, suggesting they may not provide meaningful protection against scrapers.
  • Using misleading links could lead to penalties from Google, which raises concerns about the long-term viability of such strategies for content protection.
Read original article

Source

github.com

Published

March 29, 2026

Reading Time

3 minutes

Relevance Score

59/100

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