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In the new era of rapid development of internet, where massive forgery images with updated tampering techniques flood into, traditional algorithms are no longer able to deal with the latest multimedia tampering techniques, especially those caused by Deepfake and deep learning techniques. Thus, a universal framework for image forensics including image pre-processing module, feature extraction module and post-processing module designed for specific classification were proposed creatively. Accordingly, the state-of-the-art algorithms were reviewed，and meanwhile the main strength and limitations of current algorithms were generalized. More importantly, the future studies were also listed for advancing the development of digital image forensics.