SearchOL: A Tool for Reconnaissance

Abstract

Organization and common person personal data is available online. System administrators, however neglect the quantity of system and user information that can be extracted anonymously from the content that is publicly available on the internet. This publicly available information is critical and of great use to Penetration testers who wish to exploit the system. This work proposes an OSINT based tool developed in Python for gathering user related data from social sites using multiple search engines, get IP and information related to IP address. Tool collects data passively and from the results proves to be a comprehensive data aggregator from multiple social platforms. The tool can be used for Information gathering and scanning which are the first and second phase respectively of ethical hacking. The novelty of this tool is, this tool gives most important, most relevant and concise results from various search engines. “SearchOL” is the simplest and fastest tool to gather information about anything. SearchOL reduces the efforts of the pentesters that they do by searching again and again on different search engines.