Leveraging OSINT for Identifying and Mitigating Cybercrime Threats in Online Media Environments
Pemanfaatan OSINT untuk Identifikasi dan Mitigasi Ancaman Kejahatan Cyber di Lingkungan Media Daring
DOI:
https://doi.org/10.21070/ups.8335Keywords:
Open Source Intelligence (OSINT), Cybercrime Investigation, Online Media Security, Digital Threat Identification, Cybersecurity Mitigation, Automated Metadata Extraction, Entity Relationship Visualization, NER-based FootprintingAbstract
Cybercrime in online media poses significant digital threats. This study develops an automated OSINT tool using Python to collect and analyze public data from search engines (Google, DuckDuckGo, etc.) and social platforms (Twitter, Telegram). Combining spaCy's Named Entity Recognition (NER) and regex, the tool extracts metadata (names, emails, phone numbers) and visualizes results via interactive HTML reports (Bootstrap 5). Ethical analysis of public data confirms the tool's effectiveness in identifying exposed information and supporting mitigation strategies. The research advances practical OSINT solutions for cybersecurity.
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