An Approach to AI-Powered Threat Intelligence and Malware Analysis Using Disruptive Technology

In today’s dynamic cybersecurity landscape, real-time threat intelligence and automated analysis are essential for proactive defense. This project presents an AI-powered solution for threat intelligence and malware analysis, integrating diverse intelligence sources and tools within an interactive system. Built using Python, the platform operates through a Telegram-based chatbot and a user-friendly web dashboard. The chatbot aggregates vulnerability, CVE, and exploit data from CIRCL.lu, NVD, and ExploitDB, conducts IP/domain reputation checks via Abuse IPDB, IP info, and Pulse dive, and performs file analysis through Virus Total and Google Drive scanning. AI capabilities, powered by the Gemini 1.5 Flash NLP model, support intelligent threat summarization and contextual responses. A tiered subscription model with Stripe integration enables secure access. An Admin Command Module enhances user management, alert broadcasting, and operational control from within the chatbot. The system improves threat detection, reduces response time, and delivers actionable cybersecurity insights. Planned enhancements include dark web monitoring, multi-platform integration, and advanced malware analysis, positioning this tool as a comprehensive solution for modern cyber defense.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15860788
Primary Topic
Cybercrime and Law Enforcement Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

An Approach to AI-Powered Threat Intelligence and Malware Analysis Using Disruptive Technology

Zenodo (CERN European Organization for Nuclear Research)
Cybercrime and Law Enforcement Studies
article

An Approach to AI-Powered Threat Intelligence and Malware Analysis Using Disruptive Technology

article en

Abstract

In today’s dynamic cybersecurity landscape, real-time threat intelligence and automated analysis are essential for proactive defense. This project presents an AI-powered solution for threat intelligence and malware analysis, integrating diverse intelligence sources and tools within an interactive system. Built using Python, the platform operates through a Telegram-based chatbot and a user-friendly web dashboard. The chatbot aggregates vulnerability, CVE, and exploit data from CIRCL.lu, NVD, and ExploitDB, conducts IP/domain reputation checks via Abuse IPDB, IP info, and Pulse dive, and performs file analysis through Virus Total and Google Drive scanning. AI capabilities, powered by the Gemini 1.5 Flash NLP model, support intelligent threat summarization and contextual responses. A tiered subscription model with Stripe integration enables secure access. An Admin Command Module enhances user management, alert broadcasting, and operational control from within the chatbot. The system improves threat detection, reduces response time, and delivers actionable cybersecurity insights. Planned enhancements include dark web monitoring, multi-platform integration, and advanced malware analysis, positioning this tool as a comprehensive solution for modern cyber defense.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Cybercrime and Law Enforcement Studies
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