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The official IPsec Howto for Linux — 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
opsecart.de ↗	63 match 1 shared topics	OpSec Art	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberluchs.eu ↗	62 match 1 shared topics	Home - CYBERLUCHS for business	European Union de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nepomuc.de ↗	62 match 1 shared topics	Nepomuc Securenet - Digital Infrastructure for Human Connection	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
securityweek.at ↗	62 match 1 shared topics	Security Week Graz 2026 – The Summer School for Cybersecurity at TU Graz	Austria de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
maclemon.at ↗	61 match 1 shared topics	MacLemon	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
matthiasgruber.at ↗	61 match 1 shared topics	Expert for Cyber Security \| Matthias Gruber	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
siem.at ↗	61 match 1 shared topics	XSEC - Start	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
elsa-symposium.com ↗	61 match 1 shared topics	eLSA symposium for safety and security: eLSA Symposium	de	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
next-scientific.de ↗	61 match 1 shared topics	Health IT Solutions for Research & MedTech - Next Scientific GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
truemonitor.de ↗	61 match 1 shared topics	TrueMonitor - Advanced IT Monitoring Solutions for Businesses	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
redteams.at ↗	61 match 1 shared topics	Red Teams.eu – THE ADVERSARIAL MINDSET APPLIED TO DIGITAL WARFARE	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nfosec.de ↗	61 match 1 shared topics	Start — nfosec GmbH	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
zonepatch.de ↗	61 match 1 shared topics	ZonePatch: Innovative Solutions for Network Security and IT Infrastructure	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
grufo.com ↗	61 match 1 shared topics	IT Dienstleistung und Beratung: Programmierung, Virenschutz, Ransomwareschutz, Backup, Monitoring, VPN, Netzwerkbetreuung, Linux, Open Source	de	information-and-network-security	robotsllmsaihumans	emailphone	none
opspro.de ↗	61 match 1 shared topics	OPSPRO — DevSecOps specialists	Germany de	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
cashpoint-bettingsolutions.at ↗	61 match 1 shared topics	IMPRINT \| CASHPOINT Solutions GmbH	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
cashpoint-solutions.at ↗	61 match 1 shared topics	IMPRINT \| CASHPOINT Solutions GmbH	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
mobileforensic.at ↗	61 match 1 shared topics	Mobile Forensic - Mobile Forensic	Austria de	information-and-network-security WordPress	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.