Enriquecimento de Base de Dorks Com Processamento de Linguagem Natural

In the digital age, information is one of the main assets of an organization, becoming a competitive advantage. To protect the information, information security practices available to find vulnerabilities where the information is stored. A practice used to find vulnerability on web pages is Google Hacking. Google Hacking is an information security practice that uses back-and-forth search strings with or without the addition of advanced google operators. It is available on the Internet or on the Google Hacking Database, a database of the Offensive Security organization that contains validated dorks and tests. Despite a large number of holes available in the base, a base has few attributes, making it necessary for those who use it, have prior knowledge. One way to enrich this dorks base is to use natural language processing techniques, a subarea of artificial intelligence responsible for understanding, producing and interpreting content in human language. Given this scenario, the objective of this work is to enrich the database with natural language processing without support in information security tests. As a methodology, use experimental research with a quantitative approach. The results show that natural language processing can be used to enrich a dorks base.