  Vulnerability detection has always been the most important task in the field
of software security. With the development of technology, in the face of
massive source code, automated analysis and detection of vulnerabilities has
become a current research hotspot. For special text files such as source code,
using some of the hottest NLP technologies to build models and realize the
automatic analysis and detection of source code has become one of the most
anticipated studies in the field of vulnerability detection. This article does
a brief survey of some recent new documents and technologies, such as CodeBERT,
and summarizes the previous technologies.
