Abstract:
Snooping is one of the most significant issues that the cybersecurity industry faces in this modern era of technology, leading to substantial financial losses for individuals and organizations. The detection of snooping attacks with efficiency and preciseness is proving to be a challenge due to the complex nature of the snooping attacks. A snooping website appears to be very similar to the corresponding genuine website, which deceives the unknowing users to believe that they are on the right site. Banks and other financial institutions should prevent loss of money through snooping attacks. To achieve this, they should understand how the snooping attacks occur and the techniques that can be used to detect visual similarity snooping attacks. There is also a need to develop and implement a mechanism that can check against snooping attacks, and this can be achieved by checking for malicious links and attachments.
