After years of technical development and attack defense confrontation, the Android platform application reinforcement technology has been quite mature. The protection granularity has gradually developed from DEX code extraction to writing the core function code into the shared link file, and then adding technology such as ollvm obfuscation to the native layer file, sinking the protection surface from Java layer to native layer, In order to increase the difficulty and workload of reverse analysis and protect the client's code, the dynamic modification of general DEX has evolved into a highly customized native layer obfuscation mechanism, In this paper, an automatic anti obfuscation solution (ciana) based on the mixed execution of Capstone and flow sensitive is proposed. The capstone engine is used to analyze the basic block and its instruction structure to realize the identification of real blocks in the control flow chart of program disassembly. Then, the execution sequence of real blocks is determined based on the mixed execution of flow sensitive, Finally, the real block assembly instructions are repaired to get the anti obfuscated executable binary files. The comparative experimental results show that ciana can recover the Android native files after ollvm obfuscation in arm / arm64 architecture. Ciana is the first effective anti obfuscation framework for full version (debug / realse version) of ollvm in arm / arm64 architecture, It provides necessary auxiliary support function for reverse analysis.