Lab Description

Reconnaissance is a foundational step in ethical hacking and penetration testing, where the primary objective is to collect as much information about the target as possible. This stage significantly influences how attackers or analysts build their strategies for further testing and vulnerability identification. Reconnaissance can be passive, where information is gathered without direct interaction, or active, involving interaction with the target using social engineering or direct scanning.

Shodan is a powerful tool in this space, acting as a search engine for discovering internet-connected devices and systems. It allows users to gather intelligence on servers, routers, webcams, databases, and other IoT infrastructure. Through IP scans and fingerprinting, Shodan reveals open ports, running services, banners, and known vulnerabilities, which can be crucial in identifying misconfigurations or security gaps.

In this lab, learners will explore Shodan from installation to advanced usage, including API integration, browser extensions, and report generation. Each module is crafted to build practical skills in network mapping and exposure analysis, empowering security professionals to understand the digital exposure landscape more deeply and apply Shodan in both offensive and defensive security contexts.

What You Will Learn

Program Curriculum

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