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Spoof Checker: Domain impersonation Monitoring — 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
abusemonitor.global ↗	70 match 1 shared topics	Domain Abuse Monitoring Software - Real-time Threat Detection \| iQ Global	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abusemanager.global ↗	70 match 1 shared topics	Domain Abuse Monitoring Software - Real-time Threat Detection \| iQ Global	en	information-and-network-security	robotsllmsaihumans	emailphone	none
inboxtrustoffer.com ↗	68 match 1 shared topics	Domain Security Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
inboxtrustmove.com ↗	68 match 1 shared topics	Domain Security Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
inboxtrusthere.com ↗	68 match 1 shared topics	Domain Security Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
inboxtrust.io ↗	68 match 1 shared topics	Domain Security Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
torsentinel.com ↗	68 match 1 shared topics	TorSentinel — Advanced Leak Protection & Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blocksec.tech ↗	67 match 1 shared topics	Web3 Security Audits, Monitoring, and Risk Prevention - BlockSec	en	information-and-network-security	robots llmsaihumans	emailphone	none
csaaintl.org ↗	67 match 1 shared topics	Home - The Monitoring Association	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1alerted.com ↗	66 match 1 shared topics	1Alerted \| AI-Powered Infrastructure Monitoring	en	information-and-network-security	robots llmsaihumans	emailphone	none
cspwatch.com ↗	66 match 1 shared topics	CSPWatch - Simple Content Security Policy Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
incuswatch.com ↗	66 match 1 shared topics	WordPress and Linux server security monitoring \| Astrari	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
blockchainmonitoringservice.com ↗	66 match 1 shared topics	Blockchain Monitoring Service \| Crypto Asset Recovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blacklistmaster.com ↗	66 match 1 shared topics	BlacklistMaster - Blacklist Monitor \| Blacklist Check	en	information-and-network-security	robotsllmsaihumans	emailphone	none
constella.ai ↗	66 match 1 shared topics	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
samsiar.com ↗	66 match 1 shared topics	Personal Information Removal - Samsiar Consulting Services	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
bracketdomainvault.com ↗	65 match 1 shared topics	Bracket Domain Vault: Secure Your Digital Identity Today	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscops-ph1.net ↗	65 match 1 shared topics	CSC \| The Most Security Conscious Domains Provider \| CSC	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.