This project provides IoT malware similarity analysis based on shared codes. It helps to identify other malwares that have shared code with the analyzed file. In this way, you can have a chance to get an idea about the family of the malware. There are various devices with different architectures in the IoT ecosystem. Static-based methods are more effective when addressing the multi-architecture issue. 1000 malware binaries provided by IoTPOT were used in the project. The basic blocks and functions of each binary were extracted by radare2 and the hash values of these data were stored in the SQL database. The basic blocks and functions of the sample to be analyzed are queries from this database and all malwares that have shared code are listed.