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PhishCell - Enterprise Phishing Protection — 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
athenaguardsecurity.com ↗	73 match 1 shared topics	AthenaGuard - AI-Powered Cybersecurity Solutions \| Enterprise Protection	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishcloud.com ↗	73 match 1 shared topics	AI Powered Real Time Anti Phishing Protection & Solutions \| PhishCloud	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
phishdown.com ↗	73 match 1 shared topics	PhishDown \| Free Phishing Detection & URL Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
phishprotection.com ↗	71 match 1 shared topics	Phish Protection - Stop Phishing Attacks Before They Reach Your Inbox	en	information-and-network-security	robots llmsaihumans	emailphone	full · 12
phisheye.com ↗	71 match 1 shared topics	Phishing Detection, Domain Monitoring & Takedowns — PhishEye	en	information-and-network-security	robots llmsaihumans	emailphone	none
alluresecurity.com ↗	71 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
phishcare.com ↗	71 match 1 shared topics	PhishCare - Best Phishing Simulation Tool	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
millcityam.com ↗	71 match 1 shared topics	Vaultara — Enterprise Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0swd.com ↗	70 match 1 shared topics	0swd - Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
phish-enterprise.com ↗	70 match 1 shared topics	Phish Enterprise - Phishing simulation and security awareness trainings	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
360ironwall.com ↗	70 match 1 shared topics	Online Privacy Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360civicteam.com ↗	70 match 1 shared topics	Online Privacy Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
elevateironwall.com ↗	70 match 1 shared topics	Online Privacy Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
serprotection.com ↗	70 match 1 shared topics	Ser Protection Hub	en	information-and-network-security	robotsllmsaihumans	emailphone	none
123filtering.com ↗	69 match 1 shared topics	123Filtering - Enterprise DNS Filtering for MSPs & Channel Partners	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
u-defend.com ↗	69 match 1 shared topics	U-DEFEND – Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
cherubavailabilityservices.com ↗	69 match 1 shared topics	Enterprise Grade Cybersecurity Vendor - Enterprise Grade Cybersecurity Products and Services	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
phishingbox.com ↗	69 match 1 shared topics	Phishing Simulation & Training \| PhishingBox	en	information-and-network-security	robots llmsaihumans	email phone	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.