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FakeVisitor | Browser Fingerprint Analysis — 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
1ifp.com ↗	70 match 1 shared topics	IFP - Image Fingerprint Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a1-fingerprinting.com ↗	68 match 1 shared topics	Contact Us \| A-1 FINGERPRINTING	US~ en	information-and-network-security Weebly Square Online	robotsllmsaihumans	emailphone	none
usesecto.com ↗	66 match 1 shared topics	Secto \| Browser Security for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinsecto.com ↗	66 match 1 shared topics	Secto \| Browser Security for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usemedusa.io ↗	66 match 1 shared topics	Sigil Browser — Secure Browser Agent for Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fantomo.io ↗	66 match 1 shared topics	Fantomo — Enterprise Browser Policy Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
surfsecurity.com ↗	66 match 1 shared topics	SURF, The Zero Trust Enterprise Browser	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
0detect.com ↗	66 match 1 shared topics	Antidetect browser for multi-accounting - 0DETECT Antidetect	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
surveillancerecord.com ↗	66 match 1 shared topics	Government Surveillance Project – Repository and analysis of government surveillance technology	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberchain.biz ↗	65 match 1 shared topics	CyberChain - Modern Cyber Data Risk Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zseceye.com ↗	65 match 1 shared topics	ZSecEye — Malware Sample Analysis	en	information-and-network-security	robots llmsaihumans	emailphone	none
acium.io ↗	65 match 1 shared topics	Acium - Unified Browser Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
2faco.com ↗	65 match 1 shared topics	Free Online 2FA Code Generator – TOTP Codes in Browser \| 2faco	en	information-and-network-security	robots llmsaihumans	emailphone	none
altanalysis.com.au ↗	65 match 1 shared topics	Home - Alternative Analysis (Red Team Oz)	AU en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
averagesecurityanalyst.com ↗	65 match 1 shared topics	The Average Security Analyst	en	information-and-network-security	robotsllmsaihumans	emailphone	none
actateksystem.com ↗	65 match 1 shared topics	ACTAtek - Biometric Fingerprint and Smart Card Systems for Time Attendance and Access Control.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
harodanalysis.com ↗	65 match 1 shared topics	Harod Analysis - Cyber Analysis, Research and Monitoring Technology	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detexanalysis.com ↗	64 match 1 shared topics	Detex Analysis – Open-Source OSINT Background Checks	en	information-and-network-security WordPress	robots llmsaihumans	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.