Abstract: Various intelligent railway management systems generate massive amounts of data during operation, and deepfake technology seriously threatens the authenticity of this data. Therefore, this paper conducted research on anti-counterfeiting detection technology for deepfake and its application progress in the field of intelligent railways. The paper sorted out the deepfake technology and its characteristics, analyzed the research status and development trends of anti-counterfeiting detection methods, focused on the research progress of anti-counterfeiting detection technology based on large models, compared the advantages and disadvantages of different anti-counterfeiting detection technologies, combined the characteristics of railway scenarios to analyze the application potential of multimodality large models, constructed a multimodality large model driven anti-counterfeiting detection architecture, and pointed out its technical difficulties in key business scenarios such as monitoring and recognition, scheduling voice verification, and ticketing identity verification. This study can provide theoretical support for intelligent railway anti-counterfeiting detection.