In recent years, the automotive industry has seen an increasing demand for data communication in connected vehicles. The greater the amount of data exchanged, the higher the bandwidth requirements for the underlying communication protocols, which pose challenges to the existing widely used communication protocols in vehicles (such as CAN, LIN, FlexRay, etc.). The limitations of existing protocols lead to the need to adopt new communication protocols to support new trends in the automotive industry, and automotive Ethernet is a promising solution. Extensible Service-Oriented IP Middleware (SOME/IP) is one of the new protocols widely used in automotive communications; it supports remote procedure calls, event notification and event publish/subscribe. More and more automotive devices are adopting SOME/IP to facilitate inter-process/inter-device communication. With the advent of SOME/IP, the vulnerability detection of SOME/IP applications becomes crucial. Over the past decade, fuzzing has shown its potential in vulnerability detection and has been used to find thousands of vulnerabilities in both open and closed source software.