GhostNET script that will help you be safer on the cyber
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Updated
Jul 5, 2021 - Python
GhostNET script that will help you be safer on the cyber
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.
Generate malicious URL blocklists for DNSBL applications like pfBlockerNG or Pi-hole by scanning various public URL sources using the Safe Browsing API from Google and/or Yandex.
Machine-readable .txt blocklist of IP addresses derived via lexical analysis of cloud virtual machine hostnames listed in the Inversion DNSBL Blocklists, updated every hour.
Collection of scripts to retrieve list of malicious extensions from Google SafeBrowsing API
The server side of PB Project.
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