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whitelisthackers — 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
beispiel.io ↗	100 match 1 shared topics	whitelisthackers	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
keynanny.com ↗	64 match 1 shared topics	WhiteRabbit Security	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
citadelo.at ↗	64 match 1 shared topics	Citadelo \| Hochqualifizierte ethische Hacker auf Ihrer Seite	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
allsecure.at ↗	63 match 1 shared topics	Allsecure hackt dein Unternehmen	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
livehacking.events ↗	63 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	de	information-and-network-security	robotsllmsaihumans	email phone	none
livehacking.one ↗	63 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	de	information-and-network-security	robotsllmsaihumans	email phone	none
cyber-samurai.tech ↗	63 match 1 shared topics	Cyber Samurai - Ihr verlässlicher IT-Security Dienstleister	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyber-forensics.org ↗	63 match 1 shared topics	Start – HanseSecure GmbH	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
the-secure-internet.com ↗	63 match 1 shared topics	Die Spezialisten für IT-Sicherheit & Datenschutz - m-privacy GmbH	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
webcrack.xyz ↗	62 match 1 shared topics	WEBCRACK — Lerne Web-Security durch Hacking	de	information-and-network-security	robots llmsaihumans	emailphone	none
we-do-it.hamburg ↗	62 match 1 shared topics	Home - Sichere Daten	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersicherheit.digital ↗	62 match 1 shared topics	cybersicherheit.digital - cybersicherheit.digital	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
datasecureit.com ↗	62 match 1 shared topics	Startseite - DataSecureIT GmbH	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datasecureit.org ↗	62 match 1 shared topics	Startseite - DataSecureIT GmbH	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lauschabwehr.team ↗	62 match 1 shared topics	Ihr intern. Lauschabwehrteam - Sachverständigenkanzlei Ansgar Alfred Huth	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybermodellregion.nrw ↗	62 match 1 shared topics	Cybersicherheit für Unternehmen im Bergischen Städtedreieck	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kelobit.com ↗	62 match 1 shared topics	kelobit IT-Experts - kelobit IT-Experts	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyber-check.info ↗	62 match 1 shared topics	Cyber Risiko Check - Sichere dein Business gegen Cyberangriffe ab!	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	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.