There has been an increase of content related to Quran and Hadith on the internet over the past few years. Diacritical Digital Quran is very sensitive to tampering. Diacritics are the symbols used beneath/above Quranic verses for reading purposes of the Quran. Minor change in diacritics can alter the meaning of a particular Quranic verse. Hence, there is a need for an authentication system to differentiate between fake and original verses. In this work, a model is proposed related to automatic authentication of Digital Quran. Authentication model is divided into two phases: tokenisation and authentication. For tokenisation, regular expressions are used to split input Quranic verse into single characters. In case of authentication, existing and standard exact matching algorithm i.e. Quick search (QS) is used. On testing the proposed model by comparing popular search engines and other related existing works, our approach is 100 % accurate in terms of full verse detection.