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Malicious and Phishing URL Detection Using Machine Learning | Python Final Year IEEE Project

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Jan 1, 2026
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Malicious and Phishing URL Detection Using Machine Learning | Python Final Year IEEE Project 2026. 🛒Buy Link: https://bit.ly/4qa9Lf6 (or) To buy this Python project Source Code in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Our Proposed Project Title: Malicious and Phishing URL Detection Using Machine Learning. 💡Implementation: Python. 🔬Algorithm / Model Used: Gradient Boosting Classifier, XGBoost Classifier, Multi-layer Perceptron Classifier, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Classifier, Naive Bayes Classifier, Decision Trees Classifier and Random Forest Classifier. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.3000/ 📘Project Abstract: 👉Malicious and phishing URLs have become one of the most common attack vectors used by cybercriminals to steal sensitive information, distribute malware, and compromise user trust on the internet. 👉To address this need, this project presents a Malicious and Phishing URL Detection Using Machine Learning. 👉The system is developed using Python for backend processing, with HTML, CSS, and JavaScript for the user interface, and Flask as the web framework to integrate the frontend and machine learning models seamlessly. 🚀IEEE Base Paper Title: BERT-PhishFinder: A Robust Model for Accurate Phishing URL Detection With Optimized DistilBERT. 📍REFERENCE: Ali Aljofey, Saifullahi Aminu Bello, Jian Lu, and Chen Xu, “BERT-PhishFinder: A Robust Model for Accurate Phishing URL Detection With Optimized DistilBERT”, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 22, NO. 4, JULY/AUGUST 2025. 🕑 Timeline: 00:12 - Intro. 00:23 - IEEE Base Paper Concept. 02:54 - Our Proposed Project Abstract. 05:27 - Dataset Details. 07:54 - Existing System. 09:33 - Proposed System. 11:21 - System Architecture. 11:56 - System Requirements. 12:42 - Project Execution. 26:08 - Frequently Asked Questions (FAQ's) 🏷️tags: #phishingprotection #machinelearning #python #phishingprevention #pythonprojects #machinelearningproject #aiprojects #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #majorprojects #academicprojects #majorproject #computerscienceprojects #studentprojects #projectideas

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