The field of web security is moving towards more sophisticated and precise methods of detecting and mitigating threats such as phishing and browser fingerprinting. Researchers are leveraging machine learning and deep learning techniques to improve the accuracy and robustness of detection systems. Additionally, there is a growing focus on developing comprehensive datasets and tools to aid in the development of effective phishing detection approaches. Noteworthy papers include:

• Byte by Byte: Unmasking Browser Fingerprinting at the Function Level Using V8 Bytecode Transformers, which introduces a system for detecting fingerprinting operations at the JavaScript function level.
• Characterizing Phishing Pages by JavaScript Capabilities, which aims to automatically differentiate groups of phishing pages based on the underlying kit.