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A systematic steganographic detecting framework is analyzed and some factors that make detection effective are given. As embedded message is important object in steganography, different types of embedded massage are analyzed. Statistical characteristics of embedded message give clue to steganalysis. An analytical method, generalized character sequence, is proposed and a noval detection method based on it is also given. From experimental results, the method proved to be effective in detecting steganographic data, and also precise in estimation of the size and position of embedded data.