Dark Web Marketplaces: Data for Collaborative Threat Intelligence

Kate Connolly, Anna Klempay, Mary McCann, P. Brenner
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Abstract

The dark web has become an increasingly important landscape for the sale of illicit cyber goods. Given the prevalence of malware and tools that are used to steal data from individuals on these markets, it is crucial that every company, governing body, and cyber professional be aware of what information is sold on these marketplaces. Knowing this information will allow these entities to protect themselves against cyber attacks and from information breaches. In this paper, we announce the public release of a data set on dark web marketplaces’ cybersecurity-related listings. We spent multiple years seeking out websites that sold illicit digital goods and collected data on the available products. Due to the marketplaces’ varied and complex layers of security, we leveraged the flexible Selenium WebDriver with Python to navigate the web pages and collect data. We present analysis of categories of malicious cyber goods sold on marketplaces, prices, persistent vendors, ratings, and other basic information on marketplace storefronts. Additionally, we share the tools and techniques we’ve compiled, enabling others to scrape dark web marketplaces at a significantly lower risk. We invite professionals who opt to gather data from the dark web to contribute to the publicly shared threat intelligence resource.
暗网市场:协同威胁情报的数据
暗网已成为非法网络商品销售日益重要的平台。鉴于这些市场上用于窃取个人数据的恶意软件和工具的盛行,每个公司、管理机构和网络专业人员都必须了解这些市场上出售的信息。了解这些信息将使这些实体能够保护自己免受网络攻击和信息泄露。在本文中,我们宣布公开发布暗网市场网络安全相关列表的数据集。我们花了多年时间寻找销售非法数字产品的网站,并收集了有关这些产品的数据。由于市场的各种复杂的安全层,我们利用灵活的Selenium WebDriver和Python来导航网页和收集数据。我们分析了在市场上销售的恶意网络商品的类别、价格、持久供应商、评级和市场店面的其他基本信息。此外,我们还分享了我们编写的工具和技术,使其他人能够以更低的风险抓取暗网市场。我们邀请选择从暗网收集数据的专业人士为公开共享的威胁情报资源做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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