Scraping and Analyzing Data of a Large Darknet Marketplace

Authors

  • York Yannikos Fraunhofer Institute for Secure Information Technology SIT National Research Center for Applied Cybersecurity ATHENE Darmstadt, Germany
  • Julian Heeger Fraunhofer Institute for Secure Information Technology SIT National Research Center for Applied Cybersecurity ATHENE Darmstadt, Germany
  • Martin Steinebach Fraunhofer Institute for Secure Information Technology SIT National Research Center for Applied Cybersecurity ATHENE Darmstadt, Germany

DOI:

https://doi.org/10.13052/jcsm2245-1439.1222

Keywords:

darknet marketplaces, data acquisition, captcha solving, web crawling, convolutional neural networks

Abstract

Darknet marketplaces in the Tor network are popular places to anonymously buy and sell various kinds of illegal goods. Previous research on marketplaces ranged from analyses of type, availability and quality of goods to methods for identifying users. Although many darknet marketplaces exist, their lifespan is usually short, especially for very popular marketplaces that are in focus of law enforcement agencies.

We built a data acquisition architecture to collect data from White House Market, one of the largest darknet marketplaces in 2021. In this paper we describe our architecture and the problems we had to solve, and present findings from our analysis of the collected data.

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Author Biographies

York Yannikos, Fraunhofer Institute for Secure Information Technology SIT National Research Center for Applied Cybersecurity ATHENE Darmstadt, Germany

York Yannikos is a research associate in the Media Security and IT Forensics department at Fraunhofer SIT and a researcher at ATHENE. He holds a (equiv. Master’s) degree in computer science from the University of Rostock, Germany. His research interests include digital forensic tool testing, darknet marketplaces, and open source intelligence.

Julian Heeger, Fraunhofer Institute for Secure Information Technology SIT National Research Center for Applied Cybersecurity ATHENE Darmstadt, Germany

Julian Heeger is a research associate in the Media Security and IT Forensics department at Fraunhofer SIT and a researcher at ATHENE. He holds a Master’s degree in IT security from the Technical University of Darmstadt.

Martin Steinebach, Fraunhofer Institute for Secure Information Technology SIT National Research Center for Applied Cybersecurity ATHENE Darmstadt, Germany

Martin Steinebach is the head of the Media Security and IT Forensics department at Fraunhofer SIT. He studied computer science and received his PhD from the Technical University of Darmstadt for this work on digital audio watermarking in 2003. From 2003 to 2007 he was head of the Media Security in IT department at Fraunhofer IPSI. In 2016 he became honorary professor at the TU Darmstadt and gives lectures on multimedia security as well as civil security. He is principle investigator at ATHENE and represents IT Forensics and AI Security. Previously, he was principle investigator at CASED with the topics multimedia security and IT forensics.

References

Katsiaryna Bahamazava and Rohan Nanda. The shift of darknet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence. Forensic Science International: Digital Investigation, 40:301377, 2022.

Matthew Ball and Roderic Broadhurst. Data capture and analysis of darknet markets. Available at SSRN 3344936, 2021.

Angus Bancroft. Potential influences of the darknet on illicit drug diffusion. Current Addiction Reports, pages 1–6, 2022.

Fabian Brenner, Florian Platzer, and Martin Steinebach. Discovery of single-vendor marketplace operators in the tor-network. In The 16th International Conference on Availability, Reliability and Security, pages 1–10, 2021.

Roderic Broadhurst, Matthew Ball, and Chuxuan Jessie Jiang. Availability of covid-19 related products on tor darknet markets. Australasian Policing, 12(3):8–13, 2020.

Julian Broséus, Damien Rhumorbarbe, Marie Morelato, Ludovic Staehli, and Quentin Rossy. A geographical analysis of trafficking on a popular darknet market. Forensic science international, 277:88–102, 2017.

Alessandro Celestini, Gianluigi Me, and Mara Mignone. Tor marketplaces exploratory data analysis: The drugs case. In International conference on global security, safety, and sustainability, pages 218–229. Springer, 2017.

Kai Denker, Marcel Schäfer, and Martin Steinebach. Darknets as tools for cyber warfare, 2019.

Diana S Dolliver. Evaluating drug trafficking on the tor network: Silk road 2, the sequel. International Journal of Drug Policy, 26(11):1113–1123, 2015.

Diana S Dolliver and Jennifer L Kenney. Characteristics of drug vendors on the tor network: a cryptomarket comparison. Victims & Offenders, 11(4):600–620, 2016.

Diana S Dolliver and Joseph B Kuhns. The presence of new psychoactive substances in a tor network marketplace environment. Journal of psychoactive drugs, 48(5):321–329, 2016.

Diana S Dolliver and Katherine L Love. Criminogenic asymmetries in cyberspace: a comparative analysis of two tor marketplaces. Journal of Globalization Studies, 6(2):75–96, 2015.

Claude Fachkha and Mourad Debbabi. Darknet as a source of cyber intelligence: Survey, taxonomy, and characterization. IEEE Communications Surveys & Tutorials, 18(2):1197–1227, 2015.

Dimitrios Georgoulias, Jens Myrup Pedersen, Morten Falch, and Emmanouil Vasilomanolakis. A qualitative mapping of darkweb marketplaces. In 2021 APWG Symposium on Electronic Crime Research (eCrime), pages 1–15. IEEE, 2021.

Priyanka Goonetilleke, Alex Knorre, and Artem Kuriksha. Hydra: A quantitative overview of the world’s largest darknet market. Available at SSRN 4161975, 2022.

Eric Jardine. Privacy, censorship, data breaches and internet freedom: The drivers of support and opposition to dark web technologies. new media & society, 20(8):2824–2843, 2018.

Alexandra Karden and Julian Strizek. The potential for using web surveys to investigate drug sales through cryptomarkets on the darknet. Monitoring drug use in the digital age: Studies in web surveys, EMCDDA Insights. Available at www.emcdda.europa.eu/publications/insights/web-surveys/potential-web-surveys-investigate-drug-sales-cryptomarkets-darknet_en, 2022.

Annalise Kempen. The drug dealer lurking inside your smartphone and computer. Servamus Community-based Safety and Security Magazine, 115(6):10–13, 2022.

Dominique Laferrière and David Décary-Hétu. Examining the uncharted dark web: Trust signalling on single vendor shops. Deviant Behavior, pages 1–20, 2022.

Gianluigi Me and Liberato Pesticcio. Tor black markets: economics, characterization and investigation technique. In Cyber Criminology, pages 119–140. Springer, 2018.

Gianluigi Me, Liberato Pesticcio, and Paolo Spagnoletti. Discovering hidden relations between tor marketplaces users. In 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech), pages 494–501. IEEE, 2017.

Eric Nunes, Ahmad Diab, Andrew Gunn, Ericsson Marin, Vineet Mishra, Vivin Paliath, John Robertson, Jana Shakarian, Amanda Thart, and Paulo Shakarian. Darknet and deepnet mining for proactive cybersecurity threat intelligence. In 2016 IEEE Conference on Intelligence and Security Informatics (ISI), pages 7–12. IEEE, 2016.

Florian Platzer, Fabian Brenner, and Martin Steinebach. Similarity analysis of single-vendor marketplaces in the tor-network. Journal of Cyber Security and Mobility, pages 205–238, 2022.

Florian Platzer and Alexandra Lux. A synopsis of critical aspects for darknet research. In Proceedings of the 17th International Conference on Availability, Reliability and Security, pages 1–8, 2022.

Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. In International Conference on Learning Representations, 2015.

Martin Steinebach. File-sharing and the darknet, 2020.

Martin Steinebach, Marcel Schäfer, Alexander Karakuz, and Katharina Brandl. Detection and analysis of tor onion services, 2020.

Martin Steinebach, Sascha Zenglein, and Katharina Brandl. Phishing detection on tor hidden services. Forensic Science International: Digital Investigation, 36:301117, 2021.

Meropi Tzanetakis. Comparing cryptomarkets for drugs. a characterisation of sellers and buyers over time. International Journal of Drug Policy, 56:176–186, 2018.

Xiangwen Wang, Peng Peng, Chun Wang, and Gang Wang. You are your photographs: Detecting multiple identities of vendors in the darknet marketplaces. In Proceedings of the 2018 on Asia Conference on Computer and Communications Security, ASIACCS ‘18, page 431–442, New York, NY, USA, 2018. Association for Computing Machinery.

Sandra Wittmer, Florian Platzer, Martin Steinebach, and York Yannikos. Deanonymisierung im tor-netzwerk–technische möglichkeiten und rechtliche rahmenbedingungen. In Selbstbestimmung, Privatheit und Datenschutz, pages 151–169. Springer Vieweg, Wiesbaden, 2022.

Sandra Wittmer and Martin Steinebach. Verwendung computergenerierter kinderpornografie zu ermittlungszwecken im darknet, 2019.

York Yannikos, Quang Anh Dang, and Martin Steinebach. Comparison of cyber attacks on services in the clearnet and darknet. In IFIP International Conference on Digital Forensics, pages 39–61. Springer, 2021.

York Yannikos, Julian Heeger, and Maria Brockmeyer. An analysis framework for product prices and supplies in darknet marketplaces. In Proceedings of the 14th International Conference on Availability, Reliability and Security, pages 1–7, 2019.

York Yannikos, Julian Heeger, and Martin Steinebach. Data acquisition on a large darknet marketplace. In Proceedings of the 17th International Conference on Availability, Reliability and Security, pages 1–6, 2022.

York Yannikos, Annika Schäfer, and Martin Steinebach. Monitoring product sales in darknet shops. In Proceedings of the 13th International Conference on Availability, Reliability and Security, page 59. ACM, 2018.

Diego Zambiasi. Drugs on the web, crime in the streets. the impact of shutdowns of dark net marketplaces on street crime. Journal of Economic Behavior & Organization, 202:274–306, 2022.

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Published

2023-05-03

How to Cite

1.
Yannikos Y, Heeger J, Steinebach M. Scraping and Analyzing Data of a Large Darknet Marketplace. JCSANDM [Internet]. 2023 May 3 [cited 2024 Nov. 23];12(02):161-86. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/19067

Issue

2023: Vol 12 Iss 2

Section

ARES 2022 Workshops

License

Copyright (c) 2023 Journal of Cyber Security and Mobility

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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