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Darknet Markets 2026 — Verified Links | Dark Market Guide — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
darkwebcompass.com ↗	77 match 2 shared topics	Darknet Markets & Dark Web Privacy 2026 \| DWC	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
heinekenexpreswww.com ↗	77 match 2 shared topics	Dark Markets Online - Darknet Markets 2026	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darkmarketone.com ↗	76 match 2 shared topics	Dark Marketplace \| Darknet Markets List	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darkweb101.com ↗	72 match 2 shared topics	Dark Web 101 — Onion Links 2026 & Verified Tor Directory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abacus-market-mirror.com ↗	69 match 2 shared topics	Dark Web Marketplace \| Deep Web Links	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onionpages.com ↗	66 match 2 shared topics	Latest Darknet News, Onion Marketplace & Exit Scams Updates \| OnionPages	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 3
darknetexplained.com ↗	66 match 2 shared topics	Darknet Explained \| Darknet Explained	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darknettor.com ↗	66 match 2 shared topics	Darknet Tor - Wiki Tor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectwatch.com ↗	64 match 2 shared topics	DetectWatch · Check if any website is safe, trusted and verified — in seconds.	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
detecttrust.com ↗	64 match 2 shared topics	DetectTrust · Check if any website is safe, trusted and verified — in seconds.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anteikucafe.com ↗	64 match 2 shared topics	Index - Dark Web VPN	en	information-and-network-security	robotsllmsaihumans	emailphone	none
antivirusaz.com ↗	64 match 2 shared topics	AntivirusAZ: Guides & Tools for Online Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
antivirus-az.com ↗	64 match 2 shared topics	AntivirusAZ: Guides & Tools for Online Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anyfactai.com ↗	64 match 2 shared topics	AnyFact — Before you trust, verify.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityadvisor.co.uk ↗	63 match 2 shared topics	Cybersecurity Advisor \| Free cybersecurity ebook and practical online safety guidance for UK readers	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
howtofix.guide ↗	63 match 2 shared topics	How To Fix Guide: Malware Removal, Scam Checks, and Security News	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
erasemy.info ↗	63 match 2 shared topics	EraseMy.Info \| Digital Security Guides & Alerts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
esrbprivacy.com ↗	63 match 2 shared topics	ESRB Privacy Certified Home \| ESRB Ratings	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.