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Skold alternatives & similar sites

Inloggning — 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
aanmeldeninloggen.net ↗	67 match 2 shared topics	Aanmelden-Inloggen	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bundespolizei.email ↗	60 match 2 shared topics	Interne Awareness-Seite – Digitale Sicherheit	de	information-and-network-security	robotsllmsaihumans	emailphone	none
bundespolizei.online ↗	60 match 2 shared topics	Interne Awareness-Seite – Digitale Sicherheit	de	information-and-network-security	robotsllmsaihumans	emailphone	none
siac.at ↗	60 match 2 shared topics	Safer-Internet-Workshops in Steiermark & Salzburg \| [SI] Academy e.U.	Austria de	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
unire.at ↗	60 match 2 shared topics	Sitzwache Login	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersicherheit.nrw ↗	60 match 2 shared topics	Startseite \| cybersicherheit.nrw	de	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
datenschutz.org ↗	60 match 2 shared topics	Datenschutz in Deutschland & der Europäischen Union	de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
d-vk.de ↗	60 match 2 shared topics	Willkommen bei d-VK.de	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
dahergutberaten.de ↗	60 match 2 shared topics	daher-gut-beraten.de - Der Verein für Digitalbildung	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1ermain.com ↗	60 match 2 shared topics	Sichere Weiterleitung	de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
rodolfokeller.com ↗	60 match 2 shared topics	rodolfokeller.com – Das Sicherheitsportal der Schweiz	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mein-login.info ↗	32 match 1 shared topics	mein-login.info - Sicher einloggen bei über 40 Online-Diensten	de	information-and-network-security	robotsllmsaihumans	emailphone	none
sid-500.at ↗	31 match 1 shared topics	Patrick Grünauer – IT-Training \| IT-Consulting	Austria de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2b-aware.com ↗	31 match 1 shared topics	2b-aware – Das Mail-basierte Cybersicherheits-Training	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
deininger-gmbh.com ↗	31 match 1 shared topics	Sicherheits- und Kommunikationslösungen \| Deininger GmbH & Co. KG	Germany~ de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
dannylange.de ↗	31 match 1 shared topics	[DL] cyber security - Danny Lange \| Beratung, Angriffssimulation & Awareness-Training	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
tantemalkah.at ↗	30 match 1 shared topics	Andrea* Ida Malkah Klaura — Feminist Technoscience & Diversity, Participatory Infrastructuring, Security Awareness & Training	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
blisse.asia ↗	30 match 1 shared topics	Blisse \| Cybersecurity as a Service	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.