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Phishing Detection, Domain Monitoring & Takedowns — PhishEye — 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
phishdown.com ↗	72 match 1 shared topics	PhishDown \| Free Phishing Detection & URL Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
phishcell.com ↗	71 match 1 shared topics	PhishCell - Enterprise Phishing Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alluresecurity.com ↗	70 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
phishingone.com ↗	70 match 1 shared topics	PhishingOne \| Detect & takedown phishing in minutes	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
rblspy.com ↗	70 match 1 shared topics	RBLspy — IP Blacklist Monitoring & DNSBL Alerts	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
phishoutai.com ↗	68 match 1 shared topics	PhishOut AI — Detect Phishing Before It Detects You - Phishout AI	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
deepnotch.ai ↗	68 match 1 shared topics	Automated Compliance Monitoring & Audit Automation	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sh4meful.com ↗	68 match 1 shared topics	DMARC Threat Intelligence — Email Spoofing & Domain Abuse Monitoring \| Sh4meful	en	information-and-network-security	robots llmsaihumans	emailphone	none
phishingbox.com ↗	68 match 1 shared topics	Phishing Simulation & Training \| PhishingBox	en	information-and-network-security	robots llmsaihumans	email phone	none
phishaver.com ↗	68 match 1 shared topics	Phishaver — Email Phishing Defense for Mid-Market Teams	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
guardlyn.com ↗	68 match 1 shared topics	GuardLyn - Anti-Piracy, DMCA Takedowns & Digital Content Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
servspect.com ↗	68 match 1 shared topics	ServSpect - Advanced Server Monitoring & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
guardhound.io ↗	68 match 1 shared topics	GuardHound — Domain Security Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defenix.org ↗	68 match 1 shared topics	Defenix \| Cyber Security Solutions — VAPT, GRC, SOC Monitoring Worldwide	PK~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
rbltracker.com ↗	67 match 1 shared topics	Free Blacklist & RBL Monitoring with Alerts \| Generator Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
r0shhh.dev ↗	67 match 1 shared topics	Security Portfolio \| Detection Engineering & SOC Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishprotection.com ↗	67 match 1 shared topics	Phish Protection - Stop Phishing Attacks Before They Reach Your Inbox	en	information-and-network-security	robots llmsaihumans	emailphone	full · 12
serverauditing.com ↗	67 match 1 shared topics	Server Auditing Solutions \| Comprehensive Security Monitoring	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.