RT info:eu-repo/semantics/masterThesis
T1 Data Extraction from TOR-Based Ransomware Websites and Develop-ment of a Statistical Analysis Plat-form
A1 Martín Gallego, Javier
A2 Universidad de Valladolid. Escuela de Ingeniería Informática de Valladolid
K1 Web Scraping
K1 Darknet
K1 Ransomware
K1 Cyberattacks
AB The increasing impact of cyberattacks, particularly ransomware incidents, poses a growing threat to individuals, organizations, and national infrastructure. The conventional threat intelligence often overlooks the information spread across darknet platforms. This thesis presents the design and development of a darknet web scraper aimed at extracting cyberattack-related content from cybercriminal webpages. The scraper focuses primarily on TOR-based hidden services, parsing textual content leak sites where threat actors post their attacks.In addition to data collection, a comprehensive statistics portal has been developed to store, query, and visualize the harvested information. The portal enables cybersecurity analysts and researchers to explore trends, frequencies, and correlations in ransomware attacks through graphical interfaces, facilitating data-driven assessments of the evolving cyber threat landscape.The methodology includes darknet crawling through the TOR network, structured data extraction, database design, and the use of a full stack architecture to query and generate analytical dashboards. Key challenges addressed include ensuring ethical data handling and mitigating scraping obstacles such as anti-bot mechanisms.Overall, this work seeks to bridge the gap between open-source intelligence and the hidden networks where much of the cyber threat landscape is actively evolving.
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/79607
UL https://uvadoc.uva.es/handle/10324/79607
LA eng
NO Departamento de Ingeniería Mecánica, Informática y Aeroespacial
DS UVaDOC
RD 12-ene-2026