url-classification
There are 4 repositories under url-classification topic.
- Language:Python 91
kennedyCzar / URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST
URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval
Language:Python 19arunabellgutteramesh / benign-phishing-url-classification-using-whois-and-lexical-features
To identify and extract features from URL that help classify URLs into benign/phishing and train an ML model with these features for classification.
Language:Jupyter Notebook 8FardinRastakhiz / QuickCharNet
QuickCharNet is a deep learning project that leverages an efficient character-level Convolutional Neural Network (CNN) for URL classification, aimed at enhancing Search Engine Optimization (SEO). The project includes datasets, model evaluation notebooks, and visualization scripts. Key features include data preprocessing, detailed model architecture
Language:Jupyter Notebook 6HamzaG737 / multi-label-URL-classification
multi-label url classification
Language:Jupyter Notebook 5RoshanTanisha / url-classification
Machine Learning model for URL Reputation dataset from UCI ML Repository
Language:Python 5shawon100 / Website-URL-Classification
URL classification by Naive Bayes algorithm
Language:Jupyter Notebook 5deepinstinct-algo / DeepURLBench
This repo is the dataset for the paper "A New Dataset and Methodology for Malicious URL Classification"
orelz890 / URL_Multiclass_Classification
Proactive Malicious URL Detection: ML Defense 🌐🛡️"
Language:Jupyter Notebook 4johannes-garstenauer / suspicious_urls
Identifying Suspicious URLs: An Application of Large-Scale Online Learning (Python Reproducibility Experiment)
Language:Jupyter Notebook 3iam-salma / phishing-url-detection-ml
detect phishing URLs to enhance online security and predict potential threats
Language:Python 2- Language:HTML 1
fitsblb / PhishGuardAI
Modern, explainable phishing URL detection with FastAPI, policy bands, and LLM-based review. Fast, auditable, and easy to run locally or in Docker.
Language:Jupyter Notebook 1alicanyuksel / multilabel_URL_classification
Multi-label URL Classification
Language:Jupyter Notebook 0Daksh-patel3 / Malicious-URL-Detection-Project-End-to-End
Machine learning system for detecting malicious URLs using Random Forest and Logistic Regression. Features REST API, live dashboard, and Docker deployment.
Language:Pythonjasoncobra3 / Website_Phishing_Detection
This project implements a Machine Learning and Deep Learning hybrid approach to detect phishing websites. By analyzing URLs and their associated features, the system predicts whether a given website is legitimate or phishing, leveraging multiple ML algorithms and neural networks for improved accuracy.
Language:Jupyter NotebookLee-yah / URL-Classifier-API
An API for URL classification using XGBoost. Identifies whether a URL is benign or malicious based on lexical and host-based features.
Language:Python
