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Your Passkey is Weak – Phishing Synced Passkeys is Still Possible — 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
0penai-gpt.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
everypasswordsucks.com ↗	65 match 1 shared topics	Password Strength Checker - Is Your Password Secure? \| EveryPasswordSucks	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cysent.org ↗	65 match 1 shared topics	CySent - Stop Phishing Across Email, Slack, Teams, and More	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
vocaguard.com ↗	65 match 1 shared topics	VocaGuard - Your shield against phone scams, phishing and fraud	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1f.io ↗	65 match 1 shared topics	Phishing Simulation & Awareness Training - Fished	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vishguard.com ↗	65 match 1 shared topics	VishGuard - Voice Phishing Protection for Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
baitandphish.com ↗	64 match 1 shared topics	Phishing Simulation & Awareness Training \| Bait & Phish	Canada~ en	information-and-network-security	robots llmsaihumans	email phone	none
cyris360.com ↗	64 match 1 shared topics	CYRIS360 - Unleashing Cyber Resilience in Every Direction	en	information-and-network-security	robotsllmsaihumans	email phone	none
1clickauth.com ↗	64 match 1 shared topics	Modern Passkeys Auth	en	information-and-network-security	robotsllmsaihumans	emailphone	none
barricade.cloud ↗	64 match 1 shared topics	Autonomous Phishing Simulation for Businesses \| Lokansi	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanesecurity.co.uk ↗	64 match 1 shared topics	Sanesecurity ClamAV Malware, Phishing, and Spam Signatures	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptopasswordfinder.com ↗	64 match 1 shared topics	Lose Your Passwords. Lose Your Crypto.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
beesecure.org ↗	64 match 1 shared topics	Phishing Defense Powered by AI & Human Insight \| Cofense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visiontestdomain.com ↗	64 match 1 shared topics	Phishing Defense Powered by AI & Human Insight \| Cofense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visionioctest.com ↗	64 match 1 shared topics	Phishing Defense Powered by AI & Human Insight \| Cofense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visionioc.com ↗	64 match 1 shared topics	Phishing Defense Powered by AI & Human Insight \| Cofense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visionurltest.com ↗	64 match 1 shared topics	Phishing Defense Powered by AI & Human Insight \| Cofense	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.