Extending the basic functionality of Maltego based on the Canari framework and Shodan search engine
The paper considers Maltego metasearch system, which is widely used for collecting data from open sources and automatically building relationships between various objects. The main characteristics and the algorithm of the Shodan search engine was studied, and also the fundamental difference between this system and traditional search engines was ex plained. The Shodan platform indexes information that is collected from response banners of devices which are connected to the internet, while Google, Yandex and similar services index only the content of websites. Based on the studied mate rials, an extension of the Maltego functionality was developed using the Canari framework and the Python programming language. This approach allows to combine the main advantages of the considered systems: a rich set of graphical tools of Maltego and a large open database of the Shodan system. The proposed option also allows to configure the system to fit any unique requirements that information security specialists need to conduct a security audit of information systems.