An AI Powered Passive Reconnaissance Kit To Identifies Potential Vulnerabilities By Correlating Open Source Intelligence (OSINT)

Abstract

Passive reconnaissance is a significant step in the field of cybersecurity that assists in the detection of possible security risks without actively engaging with the target systems. This paper introduces AI-powered passive reconnaissance kit aimed at gathering and correlating OSI or open-source intelligence for determining potential vulnerabilities in an ethical and non-invasive way. The proposed system is based on a Raspberry Pi platform and combines passive service discovery, the collection of data using OSINT and an intelligent risk scoring engine. the kit automates the reconnaissance process with python-based modules and uses rule-based artificial intelligence to process exposed services and normalize risk scores on a standardized risk score scale. A single button interface makes it simple for the user and a real-time result is available on an embedded OLED screen. Detailed reports are created in local environment to support further analysis without having to rely on cloud services or web dashboards.By combining portability, intelligent analysis, and passive operation, the proposed solution reduces manual effort and improves accessibility for cybersecurity education, ethical hacking, and preliminary security assessments for resource-constrained environments.