For each entity, we keep track of the cumulative values of the six features for each transaction performed by the entity over time. To be classified as a seller, an entity must simultaneously satisfy the six feature threshold criteria, as follows. Whilst a great many products are sold, drugs dominate the numbers of listings, with the drugs including cannabis, MDMA, modafinil,108109110 LSD, cocaine, and designer drugs. The months and years after Silk Road’s closure were marked by a greatly increased number of shorter-lived markets as well as semi-regular law enforcement takedowns, hacks, scams and voluntary closures.

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Then, we investigate both market star-graphs and user-to-user networks, and highlight the importance of a new class of users, namely ‘multihomers’, who operate on multiple marketplaces concurrently. Specifically, we show how the networks of multihomers and seller-to-seller interactions can shed light on the resilience of the dark market ecosystem against external shocks. Our findings suggest that understanding the behavior of key players in dark web marketplaces is critical to effectively disrupting illegal activities. Here, we set out to find the main actors in the DWM ecosystem and assess their systemic impact on a dataset of 40 million Bitcoin transactions involving the 31 major markets in the period 2011–2021. Importantly, the algorithm returns reasonable estimates for the number of sellers when compared against a benchmark of nine DWMs where estimates exist.
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Hence we do not distinguish multisellers by the number of markets in which they operate. Under U.S. law, it is a crime to conspire to commit money laundering, that is, to conduct financial transactions with proceeds from unlawful activity designed to conceal the nature, location, source, ownership, or control of such proceeds. It is also a crime to operate a money transmitting businesses without obtaining an appropriate money transmitting license in the state in which the service operates, or with FinCEN. Our team searched the dark web and put together a list of the most active dark web marketplaces in order to assist you in monitoring illegal trade of products, cybercrime activity, and dark web trends in the dark web space.
- The pre-processing relies on established state-of-the-art heuristics to cluster addresses into entities, such as cospending, intelligence-base, and behavioral clustering39,40,41,42.
- We highlight that these networks exhibit different resilience regimes in the presence of external shocks, the ecosystem’s resilience being mostly guaranteed by the network of buyers rather than sellers.
- Previous analyses of U2U trading relationships around DWMs include only two studies21,22 based on unstructured21 or semi-structured22 interviews of 17 users of Silk Road and 13 sellers on various DWMs, respectively.
- We focus on two kinds of transactions, occurring (i) between the user and a DWM and (ii) between two users of the same DWM.
- Although it shows fluctuations, including those caused by external shocks, the ecosystem exhibits a positive growth trend in terms of trading volume.
Christian Jordan Howell is assistant professor in cybercrime, University of South Florida, and David Maimon is professor of criminal justice and criminology, Georgia State University. That prevents small dealers from participating in the market and a natural tendency towards fewer but larger dealers on those markets,” Fiedler told Decrypt. These numbers show that darknet customers are making fewer purchases in total, but these purchases are, on average, for larger amounts.

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We discard single Bitcoin transactions below $0.01 or above $100,000, which are unlikely to show real purchases and minimise false positives. They may be attributed to a residual amount of Bitcoins in an address or transactions between two business partners where no good is actually given in return, respectively. The analysed dataset includes about 31 million transactions among more than 16 million users. By definition, users that interact among themselves form U2U transactions. If the pair of users interact with multiple DWMs these U2U transactions are included in all related DWMs and counted multiple times. Therefore, the simple sum of all U2U transactions of each DWM is more than the sum of all unique U2U transactions.
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We dove into the 2021 report, which was published in February, to figure out how much truth there was in the notion that crypto is only being used by criminals. And while these are critically important types of crime to pay attention to, we are going to zoom in specifically on dark web marketplaces. Despite growing crackdowns from law enforcement agencies, the dark web remains a hotbed of criminal activity, offering everything from drugs to stolen data. Overall, our study provides a first step towards the understanding of how users of DWMs collectively behave outside organised marketplaces. In this paper, we revealed the prevalence and structure of a large network of direct transactions between users who trade on the same DWM. We showed that some of the links of this user-to-user (U2U) network are ephemeral while other persist in time.

In the wake of recent headlines announcing actions against Hydra Marketplace by the U.S. and German governments, darknet markets have made an ironic entrance into the spotlight. Its focus on financial fraud and high-value transactions has attracted a dedicated user base, contributing to its growing reputation and market value. Valued at approximately $15 million, Abacus Market is one of the most lucrative platforms in the dark web ecosystem. In 2024, the platform grew significantly in popularity, partly because of its strategic acquisition of users from a number of recently shut-down marketplaces, such as AlphaBay and Incognito Market, which had recently closed their doors. The Hydra listing shown above advertises a service, where in return for a cryptocurrency payment, the vendor will bury bales of vacuum-packed physical cash “5-20 cm under the ground”. The exact GPS coordinates are shared with the buyer, so they can dig it up at their convenience.
Emergence And Structure Of Decentralised Trade Networks Around Dark Web Marketplaces

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However, after the operation Bayonet, although the network shows a decrease in connectivity, it still remains highly connected and with a large number of active multibuyers. Moreover, the network had already fully recovered by 2019 showing a strong resilience against external shocks. Most advocates of cryptocurrency viewed the arrest of the Silk Road founder as a positive development. After all, the immutable ledger in the Bitcoin blockchain had considerably aided law enforcement to track the illegal transactions of Silk Road.
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Nevertheless, by analysing the income of each multiseller, we observe that the median income still reflects their high income, as shown in Fig. Individually, they are able to yield significant high incomes compared to other types of sellers. Throughout the whole period of observation, the dominant category of buyers is market-U2U buyers followed by market-only buyers, representing on average 52% and 42% of all buyers, respectively. The U2U-only category is comparatively small, representing only 6% of all buyers on average. The number of market-U2U and market-only buyers also drops as a consequence of operation Bayonet.
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Quality and validity of the data it provides justify its higher cost over other marketplaces. The platform’s popularity continues to grow, attracting both new and returning customers. STYX Market focuses specifically on financial fraud, making it a go-to destination for cybercriminals engaged in this activity. To expand their reach, some marketplaces established parallel channels on Telegram.
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The evolving activity-driven model is an appropriate methodology for large temporal networks32 and it is implemented in the Python 3 pip library TemporalBackbone45, where default parameter values have been used. As input parameter, we considered the full network, transactions from/to DWMs and U2U transactions between users (see Section S4). Plotted lines indicate the median value while bands represent the 95% confidence interval. Negative and positive numbers indicate the days prior and after the closure, respectively.

The stolen data supply chain begins with producers—hackers who exploit vulnerable systems and steal sensitive information such as credit card numbers, bank account information, and Social Security numbers. Next, the stolen data is advertised by wholesalers and distributors who sell the data. Finally, the data is purchased by consumers who use it to commit various forms of fraud, including fraudulent credit card transactions, identity theft, and phishing attacks. It is common to hear news reports about large data breaches, but what happens once your personal data is stolen?