Phishing is a common cybercrime that uses social engineering to trick people into revealing sensitive information such as personal identity data and financial credentials. This paper thoroughly analyzes various techniques used to detect website phishing, categorizing them based on the primary features they analyze and the methods they use. By examining the strengths and weaknesses of each approach, this review aims to emphasize the challenges and advancements in phishing detection, highlighting the need for ongoing research and adaptation to counter evolving phishing tactics effectively. The detailed comparison and discussion of these techniques offer valuable insights for developing more robust and accurate phishing detection systems.