Phishing Attack

Phishing attacks, deceptive attempts to steal sensitive information, remain a significant cybersecurity threat. Current research focuses on developing robust detection methods using machine learning, particularly deep learning architectures like LSTMs and neural networks, along with techniques like federated and continual learning to adapt to evolving tactics. These advancements leverage diverse data sources, including URL analysis, HTML content, visual features (logos), and even the text generated by large language models used to create phishing attacks, aiming to improve accuracy and efficiency in identifying and preventing these attacks. The ultimate goal is to enhance online security for individuals and organizations by creating more effective and adaptable anti-phishing tools.