Intelligent URL Analysis for Phishing Threads

This work explores the use of advanced Natural Language Processing (NLP) techniques with machine learning algorithms to enhance the detection of phishing URLs. The intricacy and progression of phishing attempts have rendered old tactics more unsuitable. The work creates a dependable system that can dependably distinguish between unsafe and legitimate URLs by thoroughly examining a big dataset and applying sophisticated text analysis algorithms. The research, which emphasizes the proactive use of NLP, becomes an essential step in strengthening cybersecurity defences and reducing risks in the modern digital environment. By anticipating and adjusting to impending threats in addition to identifying current phishing attempts, the work presents a paradigm shift in URL phishing detection techniques. This work significantly contributes to the proactive reinforcement of cybersecurity defenses against the pervasive and dynamic nature of phishing attempts.