Cyber attacks have rapidly increased by exploiting the underlying vulnerabilities in the target software. However, identifying and correcting these vulnerabilities are extremely difficult and time consuming tasks. To address these problems efficiently, we propose a systematic methodology for security vulnerability assessment process on binary code in the paper. Specifically, we first classified the existing vulnerabilities based on whether the target software run in a Web environment and features of the software. Based on the classification, we determined the list and scope of the vulnerabilities. As our future research direction, we need to further refine and validate our methodology.