Application to detect webpage phising links.
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Updated
Mar 28, 2023 - Python
Application to detect webpage phising links.
An Open Source Google Chrome Extension that protects you from phishing attacks by letting you specify what usernames you use to login to services, and whitelisting them for specific domains. If you use the username on a domain that you have not whitelisted 'Don't Phish Me' alerts you.
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.
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.
Implementation of fuzzy logic to detect similarity in malicious urls.
Malware Detection using ML classification
An AI-based, ML-trained systemwide program offering anti-phishing protection services.
A phishing detection system using machine learning. SVM (Support Vector Machine) and Decision Tree classifiers are used for this project.
Here is an interface built on top of the Phishstats API. This application facilitates searching the Phishstats phishing incidents database
This simple repository fetches all the URL's in a long text file
Mitras: A Containerized Machine Learning System for Real-Time Phishing Detection
This repo contains source code of backend for my final year project.
V-Hackaton-2022 - one of the awarded projects
A guide on how to spot phishing attempts and if they are malicious or not
FindPhish : Phishing Detection System
(1) single layer perceptron with numpy (2) backpropagation with numpy for handwritten digit recognition (3) PCA for sound extraction (4) phishing URL dectector with Keras
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