Analysis of existing knowledge sources in form of vulnerability databases for automated systems

The article presents an analysis of existing knowledge sources in the form of vulnerability databases for automated systems of both Russian and foreign production. Various vulnerability databases, such as the FSTEC of Russia, CVE, NVD, VulDB, JVN and CNNVD, are reviewed and compared by key parameters. The article also presents an analysis of machine text translators such as Yandex Translate, Google Translate, SDL Trados Studio, OmegaT, DeepL Translate, ABBYY Lingvo to select a solution capable of accurate translation of vulnerability information from vulnerability databases of specialized foreign-made tools, taking into account the terminology of the field of knowledge “information security”. We present a method for creating and updating a single vulnerability database by consolidating information security vulnerability information from existing databases for further data processing.