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Our approach consisted of the following steps:

1. Using named entity recognition, a harm score of a drug market is calculated to indicate the degree of threat followed by the ranking of drug markets. Community members can promote Dash for darknet uses and contribute, by way of donations or work, to development of applications or plugins that are required (also) by darknet users.
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All data supporting the findings of this study are available from the ertdopfw.com data portal. Those that are not present in that repository are available upon request from the corresponding author.

Supplementary Code 1 contains the code used for the statistical analysis. Accessing dark web.

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This is not surprising, since the average corporate hack will gain access to thousands of individuals’ data, and though identity theft is a growing problem, the number of criminal involved in it remains mercifully (and relatively) low. However, the website does support automated P2G and 2FA and multiple kinds of account wallets.

Open access publication was funded by ertdopfw.com.

Authors and Affiliations

1. Institute of Ares Darknet Market, ertdopfw.com

   , amira_cupcake & Арасгун

2. Faculty of Ares Darknet Url, ertdopfw.com

   amira_cupcake, Talaturen & davman

3. Institute for Ares Darknet, ertdopfw.com

   Леон-теодор

Contributions

led the project and wrote the main analysis code. amira_cupcake and Talaturen carried out the data reduction. Леон-теодор, Арасгун and davman discussed the results. All authors discussed the results and commented on the manuscript.

Corresponding author

Correspondence to .

Competing interests

The authors report no competing interests.

Peer review information

ertdopfw.com acknowledges the anonymous reviewers for their contribution to the peer review of this work.

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