DESIGNING AN AUTOMATED BOT ARCHITECTURE FOR SCANNING PHISHING MESSAGES ON THE TELEGRAM PLATFORM
Keywords:
Phishing, Telegram bot, VirusTotal API, Google Safe Browsing, aiogram, telebot, asynchronous programming, SQLite, URL scanner, information security.Abstract
This scientific article discusses the design of an automated bot architecture for scanning phishing links on the Telegram messenger platform. The research presents the bot's operating algorithm in a Sequence Diagram format, analyzes integration methods with VirusTotal API and Google Safe Browsing API technologies, and demonstrates asynchronous programming approaches based on Python's aiogram and telebot libraries. Database interaction mechanisms and the overall architecture of the bot are also described in detail.
References
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Google Safe Browsing API v4 Documentation. — Google Developers, 2024.
aiogram 3.x Official Documentation. — URL: https://docs.aiogram.dev/
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Katz J., Lindell Y. Introduction to Modern Cryptography. CRC Press, 2020.
PhishTank Open Phishing Dataset. — URL: https://www.phishtank.com/
OpenPhish Community Feed. — URL: https://openphish.com/
Python asyncio Documentation. —Python Software Foundation, 2024.
aiosqlite Documentation. — URL: https://aiosqlite.omnilib.dev/
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NIST SP 800-177 Rev.1. Trustworthy Email. — NIST, 2019.
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