Criminalistic forecasting of thefts committed by using "deepfake"-technologies

The article is devoted to the study of the method of committing fraudulent actions using «deepfake» technologies from the perspective of criminalistic forecasting. The main directions of using «deepfake» technologies for thefts are revealed: the creation of video files in which the face of the original person is replaced by the face of another person; creation of video files by reading the facial expression of one person, and then synthesizing it with the face of another person, without the corresponding replacement of faces indicated in the first case; creating a synthesized voice from sample audio recordings of a particular person. At the end, the conclusion is made about the necessity of using the predictive information in order to develop recommendations for improvement of conducting certain investigative actions when investigating thefts committed in the sphere of information and telecommunication technologies.