There are 5 repositories under phising topic.
This tool is based on regex with effective standards for detecting phishing sites in real time using certstream and can also detect punycode (IDNA) attacks.
Protect your users against malware and phishing threats using Google Safe Browsing
ini adalah tools phising buat website insyallah lengkap dan work semua amiin !!
Most updated UI for google phishing by D4RKH0R1Z0N
Steam, Dota, CSGO, TF2, PUBG Scam Site Filter list
PatternEx domain feed: malicious domains detected with AI
Tools Termux Phising By ArdiGans Official🏃
Telegram Spammer ini digunakan untuk menyepam telegram pelaku penyebar Aplikasi Scamm atau Phising
.NET implementation of the Google Safe Browsing API
Phishing detection extension for Chromium-based browsers using Deep Learning
Squatfinder is a simple and fast domain name permutation engine wrapper to detect similar domains caused by type squatting. (Still in progress)
This is the updated version of blackeye with ngrok
Simple Detecting phishing domains
Phising_dana is a project developed to steal user data, this project is made with PHP Native, this project is made for educational purposes only, I am not responsible for the misuse of this project
Implementation for sqlinjection, cross-side-scripting and phising(gmail) attacks. [Hobby Project 2017]
This script generates PoC for Cross-site request forgery. you just need to provide Url, method and parameters
A Ansible role that deploys the https://github.com/gophish/gophish/ application.
Facebook fake scriptidir. Phising için kullanılır ve Facebook hesapları loglanır.
A Netflix phishing with a database and an extra Facebook phishing in case someone has a Netflix account with Facebook.
facebook phising authentication android application
A Phishing tool of PUBG,BGMI and FF EVENT
This is repository tools for easy use developer. Pandawa Eazy Tools Is A Repository Made For We Can Get Some Important Content We Need For Free And Open Source.
For Educational Purpose
In this repo you will find my journey with BeCode in tackling various challenges and Fundamentals that must be faced in the Cybersecurity field.
Detect whether a website is legitimate (or) phishing using machine learning techniques
Project for Cybersecurity at AVHS
Library of CTF Solutions (TryHackMe)