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Avoid and report internet scams and phishing: Report internet scams and phishing - GOV.UK — 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
abetterinternet.org ↗	66 match 1 shared topics	Internet Security Research Group	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cysent.org ↗	66 match 1 shared topics	CySent - Stop Phishing Across Email, Slack, Teams, and More	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
myinternetaccessnet.com ↗	66 match 1 shared topics	// myinternetaccess.net – Internet Access Services & Security Solutions	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
dnsbycomodo.com ↗	65 match 1 shared topics	DNS by Comodo \| Secure DNS for faster and reliable Internet Browsing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getpsiphon.com ↗	65 match 1 shared topics	Psiphon \| Uncensored Internet access for Windows and Mobile	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getechosecure.com ↗	65 match 1 shared topics	Echo Secure - Penetration Testing and Phishing Simulations	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getgophish.com ↗	65 match 1 shared topics	Gophish - Open Source Phishing Framework	en	information-and-network-security	robotsllmsaihumans	emailphone	none
weak.net ↗	65 match 1 shared topics	weak.net — What Does The Internet Know About You?	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
alluresecurity.com ↗	65 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
getphinsecurityapps.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecurityco.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecuritycore.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecurityhq.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecurityhub.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecurityinfos.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecurityit.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecuritylab.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getphinsecuritylabs.com ↗	65 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	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.