Hadith is a set of Islamic byelaws based on the teachings in the holy Quran. Arabic natural language processing (ANLP) tools possess features, which are mainly used for explaining Qur'an verses. In the last few years, research work in identifying both fake and authentic hadith has drawn a great attention. As of late, there are numerous hadith whose legitimacy is questionable. Currently, there are efforts to make the hadith available in digital form and disseminate it on the web and social media. This paper discusses fake hadith detection techniques, such as knowledge driven, hybrid and data driven. It also highlights various hadith detection mechanisms, their challenges and methods for identifying fake hadith. The study presents a novel taxonomy/classification of hadith detection techniques. Our taxonomy is unique compared to others because all hadith components are categorized based on four layers which include authority, narrators, Ma’tn and Isnad and status.

圣训是根据古兰经中的教义制定的一系列伊斯兰遗嘱。阿拉伯自然语言处理（ANLP）工具具有功能，主要用于解释古兰经经文。在过去的几年中，识别伪造和真实圣训的研究工作引起了极大的关注。到目前为止，有许多圣训的合法性值得怀疑。当前，人们正在努力以数字形式提供圣训并在网络和社交媒体上进行传播。本文讨论了伪造的圣训检测技术，例如知识驱动，混合和数据驱动。它还重点介绍了各种圣训检测机制，其挑战以及识别假圣训的方法。该研究提出了一种新颖的分类/圣训检测技术分类。