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Brand Protection & Phishing Takedown Services - Allure 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
erasa.net ↗	74 match 1 shared topics	Digital Content Protection & DMCA Takedown Services \| Erasa	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visioneeritsecurity.com ↗	72 match 1 shared topics	VisioneerIT Security \| Trusted Online Protection Services	United States~ en	information-and-network-security	robots llmsaihumans	email phone	none
cszone.pk ↗	72 match 1 shared topics	Cyber Security Zone Services Protect & Secure Cyber Solution	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
eworm.biz ↗	72 match 1 shared topics	Data Security, Archive and Protection Software	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
eworm.org ↗	72 match 1 shared topics	Data Security, Archive and Protection Software	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
virtualstoragenetworks.com ↗	72 match 1 shared topics	Data Security, Archive and Protection Software	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
virtual-file-storage.com ↗	72 match 1 shared topics	Data Security, Archive and Protection Software	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
virtualstoragenetwork.com ↗	72 match 1 shared topics	Data Security, Archive and Protection Software	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
spoofguard.io ↗	71 match 1 shared topics	Domain Monitoring & Phishing Detection \| SpoofGuard Brand Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spoofcanary.com ↗	71 match 1 shared topics	SpoofCanary — Phishing Detection & Automated Takedown	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darkwebalert.com ↗	71 match 1 shared topics	Identity Protection and Restoration Services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
helpmeransomware.com ↗	71 match 1 shared topics	Identity Protection and Restoration Services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mediasecurityltd.com ↗	70 match 1 shared topics	Media Security Company \| Data Protection Services \| Media Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vishguard.com ↗	70 match 1 shared topics	VishGuard - Voice Phishing Protection for Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
researchprodata.com ↗	70 match 1 shared topics	Secure Document Destruction and Data Protection Services	en	information-and-network-security	robots llmsaihumans	emailphone	none
falconprotectionservices.com ↗	70 match 1 shared topics	Falcon Protection Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
evalian.net ↗	70 match 1 shared topics	Evalian \| Cyber Security, Data Protection & Pen Testing	United Kingdom~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cstl.com ↗	70 match 1 shared topics	CST \| Cyber Security & Information Protection	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.