Nowadays, our secure systems are already sophisticated and perform well. In addition, research on subjects such as quantum computers ensures continuous improvement. However, even with a completely secure system, we humans pose the most significant threat. Social engineers prey on this to conduct illegal activities. For early detection and prevention, this paper deals with the analysis and discussion of social engineering attacks. The major challenge is to balance trust and mistrust. However, this threshold varies depending on the application. Therefore, it is advisable to extract patterns from past incidents and to recognize them in future scenarios. First, the basic principles and techniques of social engineers are introduced. Three different models are then analyzed. The effects of social networks and the feasibility of the models are outlined in the 58th US election. Finally, possibilities for avoidance, prevention and recovery are discussed.