This project is done for my internship at intern army. I'm very grateful for intern army to offering me this oppurtunity and giving me insights on cyber security and encouraged me to do projects in it.

DATASET: The dataset is collected from the kaggle website shared by intern army. The dataset description will be visible in the dataset file added to the repository OBJECTIVE: The main objective of this project is to train the given dataset that consists of attributes related to websites/URLs/links and test the data whether the given URL will be legitimate or phishing one. MODELS USED: -->Ensembling -->Clustering These are the two models I've used. The higher accuracy is given by ensembling technique which was 94.24%. clustering model gives accuracy of 84%.