SpiderFoot is an open-source reconnaissance and intelligence automation framework designed to streamline the collection and correlation of data for security investigations. It functions as a comprehensive platform that automates the querying of hundreds of public data sources to map digital footprints, identify exposed assets, and uncover potential security threats across an organization's external perimeter.
The platform distinguishes itself through a modular, plugin-based architecture that executes data gathering tasks in parallel, supported by a directed graph data model that tracks relationships between discovered entities. It utilizes dynamic workflow orchestration and event-driven correlation to guide users through multi-stage investigations, automatically triggering follow-up queries based on newly discovered indicators of compromise.
Beyond core reconnaissance, the system provides extensive capabilities for attack surface management, credential leak monitoring, and threat actor tracking. It supports proactive security operations by facilitating automated threat hunting, generating detection signatures, and simulating attack scenarios to identify visibility gaps. The platform also manages the full intelligence lifecycle, from aggregating disparate data feeds and enriching findings with contextual analysis to producing actionable reports for risk evaluation.
