With Explosive Growth and development in the field of deep learning, in parallel with the development of computer hardware on the one hand, and on the other hand, the many multimedia scattered in the communication sites and the freedom to access them easily. All of the above made it easy to create completely fake content that cannot be differentiated from the original content. In this research, we shed light on deep counterfeiting techniques as an overview and some studies that tried to find realistic solutions to reduce the phenomenon of counterfeiting

Deep Faking, Counterfeiting, Fraud, Deep Faking, falsification, manipulation.