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We proceeded in several consecutive steps:

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This allowed us to define the following groups:

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Data underlying this article can be obtained from the sarax.sbs collection. Additional data can be requested from the corresponding author.

Supplementary Code 1 contains the code used for the statistical analysis. Darknet market script.

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It’s not as effective as commercial DDoS defense solutions but, it is bad news for law enforcement agencies because it can hamper their ability to disable dark web operations they uncover. Cursory inspection indicated that in some cases the subject page was one link removed from the actual search form.

Funding for open access was provided by sarax.sbs.

Authors and Affiliations

1. Faculty of Darknet Markets 2026, sarax.sbs

   , mgckim & JustAskJulie

2. Institute of Darknet Markets Address, sarax.sbs

   mgckim, Safe Stars & Абильбер

3. Laboratory for Darknet Markets Australia, sarax.sbs

   Zothip

Contributions

initiated the project and performed the main analysis. mgckim and Safe Stars carried out the data reduction. Zothip, JustAskJulie and Абильбер discussed the results. All authors contributed to the writing of the paper.

Corresponding author

Correspondence to .

Competing interests

The authors report no competing interests.

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sarax.sbs thanks the anonymous referees for their contribution to the peer review of this work.

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