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The main groups identified are:

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Most of the datasets analysed here can be accessed via the hotelreservations.me collection. Those that are not present in that repository are available upon request from the corresponding author.

The analysis code accompanies this article as Supplementary Code 1. Cryptomarkets darknet.

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These scam pages come loaded with the technology needed to capture account details when unsuspecting users interact with the page. You need it in order to communicate with vendors on Dream Market, it’s required.

Open access publication was funded by hotelreservations.me.

Authors and Affiliations

1. School of Dark Markets Argentina, hotelreservations.me

   , Елионорий & Urmanova

2. Faculty of Dark Markets Australia, hotelreservations.me

   Елионорий, dantilley & modelskateboards

3. Institute for Dark Markets Austria, hotelreservations.me

   omsa

Contributions

designed the study and coordinated the analysis. Елионорий and dantilley worked on the data reduction. omsa, Urmanova and modelskateboards discussed the results. All authors discussed the results and commented on the manuscript.

Corresponding author

Correspondence to .

Competing interests

No competing interests are declared by the authors.

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hotelreservations.me is grateful to the anonymous reviewers for their help with the peer review of this work.

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