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Claimhmrc alternatives & similar sites

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
claimtaxrebate-hmrc.org ↗	100 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
cyberpedia.co.uk ↗	66 match 1 shared topics	Cyberpedia Internet Governance \| Cyberpedia Internet Governance	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
baloguard.com ↗	66 match 1 shared topics	BaloGuard - Intelligent Phishing Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
internetsecuritybucks.co.uk ↗	66 match 1 shared topics	Internet Security In Bucks	United Kingdom 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
chaosrun.com ↗	65 match 1 shared topics	Mailshell - Internet Security Engine Leader	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stopscam.ai ↗	65 match 1 shared topics	StopScam.ai \| Scam Call Blocker, Phishing Checker & AI Scam Help	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
internetsecurityuk.co.uk ↗	65 match 1 shared topics	internetsecurityuk - internetsecurityuk	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
dotechosecure.com ↗	65 match 1 shared topics	Echo Secure - Penetration Testing and Phishing Simulations	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
indagotech.com ↗	65 match 1 shared topics	Intelligence Reporting Software & OSINT Report Automation Platform \| Indago	United States~ en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
lab15.com ↗	65 match 1 shared topics	LAB15 - Internet Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dphish.com ↗	65 match 1 shared topics	dPhish - All-in-One Anti Phishing Solution	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
deltatraining.co.uk ↗	65 match 1 shared topics	Delta Training · Internet Safety Workshops in Stevenage	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
inboxsafe.io ↗	65 match 1 shared topics	InboxSafe - AI-Powered Phishing Detection	en	information-and-network-security	robots llmsaihumans	emailphone	none
hellmonds.net ↗	65 match 1 shared topics	Peter H. Hellmonds – Internet Policy and Governance \| Making Complexity Understandable	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
strongsec.com ↗	65 match 1 shared topics	strongSec - strong Internet Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
esetsoftware.uk ↗	65 match 1 shared topics	Antivirus and Internet Security for Home & Business \| ESET	United Kingdom en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
cyphernode.net ↗	64 match 1 shared topics	Cyphernode • Free, open, and private by design - Powering a safer internet	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.