Offensive & proactive tool designed to disrupt phishing attacks by flooding fake phishing websites' login portals with a deluge of fake user data, sometimes even takes down their entire site in the process.
Extracting features from URLs to build a data set for machine learning. The purpose is to find a machine learning model to predict phishing URLs, which are targeted to the Brazilian population.
Measurement system I built during my PhD to collect and analyse large-scale datasets; including phishing and malware attacks on Twitter, blacklist characterisation, and phishing detection capabilities of web browsers.
Simple web API using the hourly dump from Phishtank
Python API for Phishtank Lookup
The server side of PB Project.
phish link crawl service . Fastapi - Postgresql - Docker
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