An Open-Source Cyber Threat Intelligence (CTI) Platform: Automated Collection, Classification, and Visualization of  Cyber Threat Data

Deepesh Agrawal; Shaivi Barwe; Chandra Prakash Singar; Puja Gupta; Jasmeet Kaur

doi:10.70528/IJLRP.v7.i5.2189

An Open-Source Cyber Threat Intelligence (CTI) Platform: Automated Collection, Classification, and Visualization of Cyber Threat Data

Author(s)	Deepesh Agrawal, Shaivi Barwe, Chandra Prakash Singar, Puja Gupta, Jasmeet Kaur
Country	India
Abstract	The rapid proliferation of digital threats such as ransomware, phishing, malware, data breaches, and zero-day vulnerabilities has escalated the demand for accessible and intelligent Cyber Threat Intelligence (CTI) solutions. Existing platforms are largely expensive, complex, and designed for large enterprises, rendering them inaccessible to students, researchers, and small organizations. This article presents an open-source CTI platform that automates the collection, analysis, and visualization of cyber threat data in a structured and user-friendly manner. The system employs automated web scraping techniques to gather information from cybersecurity news websites, RSS feeds, and online security portals. The collected data is processed using keyword-based classification and severity scoring methods to identify different categories of threats including ransomware, phishing, malware, vulnerabilities, and data breaches. The platform is developed using Python and Flask for backend operations, MySQL for database management, and HTML, CSS, and JavaScript for the frontend dashboard. The system provides real-time threat monitoring, search and filtering options, severity analysis, India-specific threat detection, and graphical visualizations for better understanding of cyber incidents. Additionally, an AI-powered chatbot integrated using the Gemini API assists users by providing simplified explanations and expert-level insights related to cyber threats. Extensive testing confirms the system's reliability and efficiency across multiple functional modules. The proposed system demonstrates that a low-cost, scalable, and accessible CTI solution can significantly improve cybersecurity awareness and help users make informed security decisions quickly and effectively.
Keywords	Cyber Threat Intelligence,Automated web scraping, Keyword-based classification, Severity scoring, Flask dashboard, AI-powered chatbot.
Field	Engineering
Published In	Volume 7, Issue 5, May 2026
Published On	2026-05-12
DOI	https://doi.org/10.70528/IJLRP.v7.i5.2189
Short DOI	https://doi.org/hb379v

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An Open-Source Cyber Threat Intelligence (CTI) Platform: Automated Collection, Classification, and Visualization of Cyber Threat Data

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