An open source access logs analytics script to block bot attacks

In plain words

This open source Python project analyzes web server access logs to identify and block malicious bots, including application-level DDoS attackers and web scrapers. It uses client fingerprinting techniques like JA5 to classify suspicious traffic patterns and enable dynamic blocking. The tool is designed for developers and system administrators managing bot threats and is offered as a proof-of-concept seeking user feedback on features and usability.

written from the facts on this page · September 2026

From the sources

Statistical Automated Bot Protection. Contribute to tempesta-tech/webshield development by creating an account on GitHub.

Automatic detection and blocking bad bots (DDoS, shopping bots, scrappers, booking bots and others) by TLS and HTTP fingerprints or IP based on Tempesta FW access logs stored in the Clickhouse database. The current version 0.1 is experimental and should not be used in production. git clone https://github.com/tempesta-tech/webshield.git cd webshield sudo setup.sh Prepare Before running the application, you need to prepare Tempesta FW: systemctl start tempesta-webshield.service See logs journalctl -f -u tempesta-webshield Run tests To run the tests you need to copy GeoLite2-City.mmdb to tests/ directory. # run all tests with a logging level INFO pytest Format project black . isort . About…from github.com

In the maker’s words, at launch

This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on. We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots.…

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