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Kyojurouu / repository
Forensic Five's first project system, the SafeLink. SafeLink is a web-based security tool that detects and classifies safe and unsafe URLs using a Logistic Regression machine learning model. It analyzes the structural and lexical features of links to identify potential phishing and malicious websites. The system integrates HTML, CSS, and JavaScript
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SafeLink bridges the gap between complex cybersecurity tools and everyday user needs. Unlike existing solutions limited to browser extensions or email filters, SafeLink provides a comprehensive, preventive approach to URL verification.
Our system automatically scans and validates both direct and shortened URLs before users interact with them, significantly reducing exposure to phishing attacks, malware distribution, and online scams.
Core Mission: Democratize cybersecurity by making advanced threat detection accessible to everyone in the community through an intuitive, lightweight interface.
Frontend: HTML5, CSS3, JavaScript
Backend: Python, Flask
Model: Jupyter Notebook
Tools: Visual Studio Code, Git & GitHub, Figma
This project will deliver a functional web-based link security scanner that bridges the gap between professional-grade cybersecurity tools and the needs of everyday users. By focusing on accessibility and practicality, SafeLink empowers communities to browse safely, avoid scams, and build stronger cybersecurity awareness.