Individuals' use of online social networks has grown critical in the modern day. Due to amplified habit of usage of these Social Networks, the security threats have also enlarged. There are many attackers who create fake profiles to attract innocent people and abuse them in various ways. They either create fake profiles or they do identity theft from other users and create profiles using this identity. The latter method is called profile cloning. In this paper, a method has been detected to identify cloned profiles by using feature extraction method. Fake profiles are detected by using IP addressing method. For detecting cloned profiles, first the features are extracted using Web Scraper Tool. Using the search engine similar profiles are searched and features are extracted. Then a similarity measure is performed on these profiles. Based on the similarity, profiles can be verified whether they are cloned or not. After identifying cloned profiles, the users’ locations are detected through the IP address for verification of fake profiles. In this work, an attempt has been made to propose a method to detect fake and cloned profiles. The method was implemented on two hundred profiles in Face book and it showed accurate results.