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Fake Loan App & Cyber Scam Expert Support — Troycode Cyber Security — 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
cambridgecybersecurity.co.uk ↗	72 match 1 shared topics	Cambridge Cyber Security - Expert Cyber Security Services	United Kingdom en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberhelp.today ↗	72 match 1 shared topics	CyberHelp.Today - Cybersecurity Incident Response & Expert Support	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ansecurity.com ↗	71 match 1 shared topics	ANSecurity Cyber Security Experts	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
remediata.com ↗	71 match 1 shared topics	Remediata - Cyber security experts	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
4foxsec.com ↗	71 match 1 shared topics	4FOX Security - Expert Cyber Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdd.co.uk ↗	71 match 1 shared topics	CyberDD \| Cyber Security	United Kingdom en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cybrella.io ↗	71 match 1 shared topics	Cybrella Cybersecurity Experts \| Comprehensive Cyber Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vitservices.com ↗	70 match 1 shared topics	Remote Worker Cyber Security IT Support \| VIT Services	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyber-games.co.uk ↗	70 match 1 shared topics	Interactive Cyber Security Games \| Cyber Security Games	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityconsulting.services ↗	70 match 1 shared topics	Expert Cyber security consulting for businesses \| CYBERSAFEHAVEN	en	information-and-network-security	robotsllmsaihumans	email phone	none
darkcyber.net ↗	70 match 1 shared topics	Dark Cyber – Cyber Security News	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberheroes.support ↗	70 match 1 shared topics	Cyber Heroes - Professional Cyber Security Help & Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberexperts.net ↗	70 match 1 shared topics	Cyber Experts - A Cyber Security IT Professional Company	en	information-and-network-security	robotsllmsaihumans	emailphone	none
reoft.com ↗	70 match 1 shared topics	REOFT Technologies — Cyber Security Expertise	en	information-and-network-security	robotsllmsaihumans	email phone	none
exceeditmd.net ↗	70 match 1 shared topics	Exceed Cybersecurity \| Cyber Security Services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bridgedcyber.com ↗	70 match 1 shared topics	Bridged Cyber \| Cyber Security Blog by Paige Y. H.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omerchoudhary.com ↗	70 match 1 shared topics	SecureIT — Cyber Security Setup for Sydney Small Business	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-security-services.co.uk ↗	70 match 1 shared topics	Cyber Security Services	United Kingdom en	information-and-network-security	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.