Stack overflow as one of the most important information sources for researchers and developers rely on. The stack overflow provides ready- to- use copy and paste codes snippets, which provides huge benefits for researchers and software developers in studying their behavior. The impact of this behavior on code security is unknown. Due to complex nature of code security, it is very difficult to provide secure solutions without knowing the type of malware in the code. Malicious executable programs in stack overflow are designed to damage user’s systems without their consent. It is very important to find the malicious codes-snippets in such online programming platform. In this report, we tried to identify the malware from the data of code snippets present in stack overflow. We evaluated based on the collected data set using ten-fold cross validations and comparisons with SVM and decision tree.