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Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker — 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
hacktrack.de ↗	100 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
hacknight.de ↗	100 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
hack-night.de ↗	100 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
concentrade.eu ↗	69 match 1 shared topics	Cybersecurity & IT-Sicherheit \| Professionelle IT-Security Lösungen	European Union de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyber-security-cluster.eu ↗	69 match 1 shared topics	Cyber Security Cluster - Cyber Security Cluster Bonn e.V.	European Union de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
kmuverband-csc.ch ↗	69 match 1 shared topics	SKV Computer & Cyber Security Center - Home	Switzerland de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
kleeo.ch ↗	68 match 1 shared topics	Kleeo – Cyber Security für Alle	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nullfaktor.com ↗	68 match 1 shared topics	Cyber Security für IT- & SAP-Systeme	de	information-and-network-security	robotsllmsaihumans	emailphone	none
innosec.ch ↗	68 match 1 shared topics	innoSec täglicher Schwachstellen-Scanservice - IT-Security Beratung & Cybersecurity	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
itsss.ch ↗	68 match 1 shared topics	sITss - Säuberli IT-Security Services	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nudgeme-it.com ↗	67 match 1 shared topics	NudgeMe IT Solutions \| Cyber Security für den Mittelstand	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
infonews.ch ↗	67 match 1 shared topics	goSecurity Blog: News zu Hackerschutz, Digitalisierung, Cyberkriminalität	Switzerland de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
innovis-tech.ch ↗	67 match 1 shared topics	Cyber Security für KMUs \| innovis technologies AG	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
korix.ch ↗	67 match 1 shared topics	Korix AG – KI-gestützte Cyber Security für Schweizer KMU	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
hackner-security.de ↗	66 match 1 shared topics	Hackner Security	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
protect7.com ↗	66 match 1 shared topics	Protect7 - Your Application Security Experts	de	information-and-network-security	robotsllmsaihumans	email phone	none
hacknest.de ↗	66 match 1 shared topics	HackNest – Cybersecurity Ressourcen, Trends & Karrieren	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
hackmod.de ↗	66 match 1 shared topics	HAK5, WiFi Pineapple, HackRF Pro, LAN Tap, IT-Security, Pentest Tools	Germany de	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.