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sotw cyber security group - Scam Reporting Hub | SOTW Cyber Security Group — 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
media26.eu ↗	68 match 2 shared topics	Media26 \| Your Guide to Cyber Security, VPNs & Digital Freedom	European Union en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
blacklistly.com ↗	68 match 2 shared topics	Blacklistly - Report Scams & Phishing \| Community Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinesecurityhub.org ↗	66 match 2 shared topics	Online Security Guides & Reviews By Mefat Shabani	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
latestscams.org ↗	66 match 2 shared topics	ScamRadar - Verified Scam Database & Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinesecuritytoday.com ↗	66 match 2 shared topics	Online Security Today: Protect Your Data in a Digital World	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
theunbreakablegroup.com ↗	66 match 2 shared topics	The Unbreakable Group - Securing Your Digital Life	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanasecurity.com ↗	65 match 2 shared topics	AVG Internet Security Software \| Online Protection \| Free Trial	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
0daydetectives.com ↗	65 match 2 shared topics	Qubits Cyber Squad	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
topusvpn.com ↗	65 match 2 shared topics	TopusVPN \| Compare Best VPNs for Security, Streaming & Privacy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1secapp.info ↗	65 match 2 shared topics	1Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanalagroup.com ↗	64 match 2 shared topics	Home - Sanala group CLG	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thinksecureco.com ↗	64 match 2 shared topics	ThinkSecure - Personal Online Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4ff.pro ↗	64 match 2 shared topics	SecureRank — Independent Rankings of Privacy & Security Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
spywarecoalition.org ↗	64 match 2 shared topics	Spyware Africa \| ensuring a safer internet and cyberspace	Nigeria~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tornews.com ↗	64 match 2 shared topics	Deep Web, Cyber Threat Intel, and Privacy Education - TorNews	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
1svpn.com ↗	64 match 2 shared topics	Home - 1S VPN \| Secure Internet in One Click	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tweaknews.eu ↗	64 match 2 shared topics	Tweaknews: Secure European Usenet & Privacy (Since 1998)	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
sandwormsecurity.com ↗	64 match 2 shared topics	Sandworm Security	en	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.