JSON and TXT list of malicious domains used for phishing on Discord

predict whether a given URL is a phishing site or not. Simply enter the URL you want to check in the provided field and click ‘Predict’. Our advanced algorithm will analyze the URL and provide you with a prediction in no time.

Centralized configuration management for the DART Project website.

A complete full‑stack phishing URL detection app with machine learning backend and a user-friendly web GUI built using Flask, HTML, CSS, and JavaScript.

A anti-phish bot.

A phishing detection system using machine learning. SVM (Support Vector Machine) and Decision Tree classifiers are used for this project.

AccountGuard AI is a security analyst tool built for financial institutions, offering phishing email detection (text & URL-based) and fraud transaction analysis. It features a custom-trained machine learning model using the IEEE-CIS dataset

PhishGuard is a web-based tool for detecting phishing emails through texts and .eml files.

a basic fishing scanner for emails

Phishing Hunter API

To examine the quantitative nature of phishing attacks

Doğal Dil İşleme (NLP) ve Makine Öğrenmesi (ML) teknikleri kullanılarak e-posta içeriklerini analiz edip "phishing" veya "meşru" olarak sınıflandıran bir phishing e-posta tespit projesi.

Phishing Awareness Game is a lightweight, web-based training tool designed to help users recognize and avoid phishing attempts.

A Phishing Detection Sytem

"Feature Selection & Hyperparameter Tuning on Random Forest for Phishing Detection."

Neste Repositório resolvi o desafio intermédiario chamado SOC140 - Phishing Mail Detected - Suspicious Task Scheduler na plataforma LetsDefend

Pacem Radar est une technologie de détection prédictive du phishing. Nous surveillons l'enregistrement des noms de domaines de plus de 100 services (banques, organismes publiques, services et réseaux sociaux) sur 1500 extensions de domaines.

certificate transparency log analysis

Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it.