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Oracle Security Services by Red-Database-Security GmbH — 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
cybrdf.com ↗	71 match 1 shared topics	Cyber Security Services	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
opensource-security.com ↗	71 match 1 shared topics	OpenSource Security GmbH \| Embedded Security \| Schulungen \| Linux	de	information-and-network-security	robotsllmsaihumans	emailphone	none
opensource-security.net ↗	71 match 1 shared topics	OpenSource Security GmbH \| Embedded Security \| Schulungen \| Linux	de	information-and-network-security	robotsllmsaihumans	emailphone	none
opensource-security.org ↗	71 match 1 shared topics	OpenSource Security GmbH \| Embedded Security \| Schulungen \| Linux	de	information-and-network-security	robotsllmsaihumans	emailphone	none
opensource-training.com ↗	71 match 1 shared topics	OpenSource Security GmbH \| Embedded Security \| Schulungen \| Linux	de	information-and-network-security	robotsllmsaihumans	emailphone	none
b-secure.ch ↗	70 match 1 shared topics	Information Security Professional Services \| B-Secure	Switzerland de	information-and-network-security Pimcore Commerce	robotsllmsaihumans	emailphone	none
eticsec-itcs.de ↗	69 match 1 shared topics	Home – ETICSec IT-Compliance & Security GmbH	Germany de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
inforitas.com ↗	69 match 1 shared topics	Sicherheit nach Maß ... INFORITAS - INFORITAS \| Information Security Services \| Cybersecurity Consulting Services	de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
porxy.de ↗	69 match 1 shared topics	Inside Security GmbH	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
inside-security.com ↗	69 match 1 shared topics	Inside Security GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
inside-security.net ↗	69 match 1 shared topics	Inside Security GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
insidesecurity.com ↗	69 match 1 shared topics	Inside Security GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
insidesecurity.net ↗	69 match 1 shared topics	Inside Security GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
madifi.com ↗	68 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	de	information-and-network-security	robotsllmsaihumans	email phone	none
avantec.ch ↗	68 match 1 shared topics	IT-Security – Competence. Security. Trust. – AVANTEC	Switzerland de	information-and-network-security WordPress	robots llmsaihumans	email phone	none
awantec.ch ↗	68 match 1 shared topics	IT-Security – Competence. Security. Trust. – AVANTEC	Switzerland de	information-and-network-security WordPress	robots llmsaihumans	email phone	none
bodomachtwas.net ↗	68 match 1 shared topics	Bodo Meseke - Partner - Forensics & Integrity Services	de	information-and-network-security	robotsllmsaihumans	emailphone	none
ernw.de ↗	68 match 1 shared topics	ERNW - providing security. \| ERNW - providing security.	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.