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SOCRadar Threat Platform - DDoS Threat Intelligence - European Cyber Threat Monitor — 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
ctx.io ↗	76 match 1 shared topics	CTX \| Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
synthreats.com ↗	74 match 1 shared topics	SynThreats \| Advanced Cyber Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sveltepulse.com ↗	73 match 1 shared topics	SveltePulse - Cybersecurity Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joindarkwiser.com ↗	73 match 1 shared topics	DarkWiser - AI-Powered Dark and Deep Web Monitoring & Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
dragontrace.app ↗	73 match 1 shared topics	DragonTrace — Regional Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luksmentis.com ↗	73 match 1 shared topics	LuksMentis — Cyber threat intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyberhawk-ug.store ↗	73 match 1 shared topics	CyberSec Updates — Live Threat Intelligence Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
av-atlas.com ↗	73 match 1 shared topics	AV-ATLAS - The Threat Intelligence Platform by AV-TEST	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luminintel.com ↗	73 match 1 shared topics	Lumin Intelligence \| Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybermon.info ↗	72 match 1 shared topics	CyberSec Monitor - Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
namespining.com ↗	72 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nameintelligence.com ↗	72 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nameintel.com ↗	72 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
surveybot.com ↗	72 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lunacon9.com ↗	72 match 1 shared topics	LC9 Threat Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberserval.tech ↗	72 match 1 shared topics	CyberServal – WAF, IP Threat Intelligence & Web Monitoring \| CyberServal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
urbancybersec.com ↗	72 match 1 shared topics	Security SDKs & Threat Intelligence Network \| Urban Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyb3rcypher.com ↗	72 match 1 shared topics	Cyb3rCypher — Cyber Threat Intelligence Briefings	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.