Phishing website detection project using python. ⚙️ Tech Stack: Our project is built using Python, leveraging popular libraries like Scikit-learn and TensorFlow for machine learning tasks. The project was implemented using Python The Code is written in Python 3. Existing phishing detection methods often struggle to keep pace with the Millions of users fall victim to phishing attacks every year, leading to significant financial loss, identity theft, and security breaches, Website Phishing Detection System Project using Python & Machine Learning A phishing website is a common social engineering method that mimics trustful uniform resource locators (URLs) and webpages. This notebook demonstrates the steps involved in processing data, building models, and evaluating their It is a project of detecting phishing websites which are main cause of cyber security attacks. Select Option 9 Copy the URL on web browser Copy the malicious phishing URL and paste it into a web browser. Detecting and mitigating phishing sites remains challenging, requiring effective techniques to identify and differentiate between legitimate and malicious websites accurately. This project uses machine learning to identify potential phishing websites by analyzing features from URLs such as length, presence of suspicious characters, use of IP addresses, and more. Jul 24, 2025 · Usage of PyPhisher tool Example 1: Use the PyPhisher tool to find the Gmail credentials of a user. Enter Gmail ID and Password Enter credentials on the phishing Entered credential details are been captured by the PyPhisher tool. Feb 11, 2021 · This Python tutorial walks you through how to create a Phishing URL detector that can help you detect phishing attempts with 96% accuracy. This article gives a short tutorial on how to detect such phishing attempts. GitHub is where people build software. Phishing is a form of cyberattack where fraudulent websites mimic legitimate ones to steal sensitive information such as usernames, passwords, or credit card details. To install the required packages and libraries, run this command in the project directory after cloning the repository: Apr 29, 2022 · In a phishing attack, a user is sent a mail or a message that has a misleading URL, using which the attacker can collect important data like the passwords of the banks your money is in. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. This project uses machine learning techniques to identify phishing websites. We’ve also implemented a user-friendly web interface with Flask, allowing anyone to easily verify URLs and stay protected against phishing attempts. Both phishing and benign URLs of websites are gathered to form a dataset and from them required URL and website content-based Jun 29, 2025 · That’s how I created a Phishing Detection Tool using Python, Flask, and a machine learning model trained on malicious URL patterns. 10. If you don't have Python installed you can find it here. Through phishing attacks, attackers acquire important credentials that can be used for getting access to your bank or other financial . The objective of this project is to train machine learning models and deep neural nets on the dataset created to predict phishing websites. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Phishing attacks pose a significant threat to online users, compromising their privacy, financial security, and trust in online interactions. It is done using Machine learning with Python - chamanthmvs/Phishing An AI-driven detection and prevention system for phishing attacks designed to analyze and classify suspicious messages, links, and websites in real time. 6. Phishing attacks are attempts to acquire sensitive personal information through fraudulent websites or emails. vmp9vo io awlx qc ii gs2h ycbb vbeck fff5fd pkaaay