The use of OSNs by persons in today's society for the purpose of participating in their typical social activities is becoming more common. As a consequence of this, a considerable quantity of data pertaining to the users' social lives, personal lives, and professional lives is being stored on these OSNs. In spite of the fact that using these sites has led to an overall improvement in the quality of people's social lives, one of the disadvantages that is linked with using them is the proliferation of fake accounts. Utilization of these products is connected to a variety of other issues. Academics and social analysts are drawn to the user data that is made public on open social networks (OSNs), but hackers are also interested in this data since it may be exploited in many ways. These cybercriminals take advantage of the openness and susceptibility of an OSN by generating fake identities, which they then use to engage in activity that is unlawful, dishonest, and damaging. Theft of identity, slandering, trolling, bullying, and spamming are some examples of the behaviors that fall under this category. To transmit spam, conduct fraud, or otherwise abuse the system in any other manner, criminal users of online social networks like the approach of establishing false accounts, which is the favored method. Users who have created false identities in order to participate in criminal operations have established themselves on the most major social networking sites. In this paper we have described the different types of social media fake profiles and hybrid algorithm for detection and classification of fake Instagram profile.