Abstract
Based on OWASP, code injection is one of the top lists of security risks. Structured Query Language (SQL) Injection is one of these types of attacks. SQL injection attack is an attack by spoofing the server to execute malicious code. The main object of this paper is to identify relevant works about deep learning methods to detect SQL-Injection on web applications. To achieve that, we conduct a survey review of the literature. In this study, we provide a review of 14 studies using deep learning algorithms to detect SQL Injection on web applications and it provides a comparison between them. Deep learning has great potential in threat intelligence detection.