Among the most influential inventions, the Internet has been adopted by a vast number of users for a variety of uses. Many of these individuals interact with social media sites, such as Facebook, Instagram, and Twitter, where they freely post content without permission. Due to the increased usage of social media, individuals are exposed to large amounts of data, which creates an ideal environment for information exploitation by cybercriminals. Hackers frequently construct false profiles that mimic actual people and spread pointless information, including malware URLs and adverts. In addressing the ubiquitous problem of spam on social media, this research highlights the vital necessity for efficient techniques in detecting and removing fraudulent accounts. This study investigates various methods that have been suggested for identifying false profiles.