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EasyPhishing.org - Your Guide to Phishing Awareness — 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
1f.io ↗	70 match 1 shared topics	Phishing Simulation & Awareness Training - Fished	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rnanlinkscansecurity.com ↗	69 match 1 shared topics	Phishing Awareness \| MAN Truck & Bus SE	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
rockhoppersecurity.com ↗	68 match 1 shared topics	Rockhopper Security - Your Guide to Information Security Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bancostars.com ↗	68 match 1 shared topics	Cybersecurity awareness training \| SafeUser	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dotechosecure.com ↗	68 match 1 shared topics	Echo Secure - Penetration Testing and Phishing Simulations	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
baloguard.com ↗	67 match 1 shared topics	BaloGuard - Intelligent Phishing Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
train2secure.com ↗	67 match 1 shared topics	train2secure — Country-Specific Security Awareness Training & Phishing Simulation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
baitcheck.com ↗	67 match 1 shared topics	BaitCheck - Security Awareness Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cysent.org ↗	67 match 1 shared topics	CySent - Stop Phishing Across Email, Slack, Teams, and More	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
0penai-gpt.com ↗	67 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	67 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acepaking.com ↗	67 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dphish.com ↗	67 match 1 shared topics	dPhish - All-in-One Anti Phishing Solution	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
afrishield.org ↗	67 match 1 shared topics	Cybersecurity Awareness Training Africa Hub \| AfriShield	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hmrclogin.com ↗	67 match 1 shared topics	Avoid and report internet scams and phishing: Report internet scams and phishing - GOV.UK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hmrcinfo-gov.net ↗	67 match 1 shared topics	Avoid and report internet scams and phishing: Report internet scams and phishing - GOV.UK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hmrcgovuk.com ↗	67 match 1 shared topics	Avoid and report internet scams and phishing: Report internet scams and phishing - GOV.UK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hmrcgovmail-org.com ↗	67 match 1 shared topics	Avoid and report internet scams and phishing: Report internet scams and phishing - GOV.UK	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.