After years of technical development and attack-defense confrontation, the reinforcement technology for Android applications has matured to the extent that protection granularity has gradually developed from general dynamic Dalvik executable (DEX) modification to a highly customized Native-layer obfuscation mechanism. Client code protection is strengthened by continuously increasing reverse analysis difficulty and workload. For the newly emerged reinforcement technology of obfuscator low level virtual machine (OLLVM) obfuscation, this study proposes an automatic anti-obfuscation solution CiANa based on Capstone and flow-sensitive concolic execution. The Capstone engine is used to analyze the basic block and its instruction structure, thereby identifying the real blocks scattered in the control flow graph of program disassembly. Then, the execution sequence of the real blocks is determined by leveraging flow-sensitive concolic execution. Finally, the real block assembly instructions are repaired to obtain anti-obfuscated executable binary files. The comparative experimental results show that CiANa can recover the Android Native files under OLLVM obfuscation in the ARM/ARM64 architecture. As the first framework that offers effective anti-obfuscation and generates executable files for all versions (Debug/Release version) of OLLVM in the ARM/ARM64 architecture, CiANa provides necessary auxiliary support for reverse analysis.