A software package prototype for analyzing user accounts in social networks: Django web framework

The paper considers the issues implementing a prototype of a research and practical complex to automate the analysis of user accounts in social networks. Such prototype is used as a tool to indirectly assess users' psychological features manifestation, their vulnerabilities to social engineering attacks as well as to develop recommendations for protection against these attacks. The prototype is developed in the Python 3.8 programming language using the Django 3.1 web framework and PostgreSQL 13.2, Boot-strap 4.6. This paper aims to increase the efficiency of extracting information from data posted by users in social networks, which allows indirect assessment of psychological, behavioral and other characteris-tics of users. The goal is achieved by automating data extraction and developing tools for their analysis. The subject of the study is the methods of automated extraction, preprocessing, unification, and presentation of data from users' accounts in social networks to protect them against social engineering attacks. A prototype application based on the Django web framework solves the problem of automated extraction, preprocessing, unification, and presentation of data from user accounts in social networks. The solution of this problem is one of the essential steps to build a system for analyzing the security of users from social engineering attacks. The theoretical significance of the work is in the combination and validation through the automation of previously developed methods and approaches to recover missing values of the attributes of the account, the comparison of online social networks users' ac-counts for their belonging to the same user. The practical significance comes from the development of an application tool located on the sub-domain sea.dscs.pro, which allows performing primary analysis of users' accounts in social networks.