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DarkScout Intelligence | Blockchain Intelligence Feeds — 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
crystalintelligence.app ↗	76 match 1 shared topics	Crystal Intelligence - Blockchain Intelligence for Crime Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybertrace.ltd ↗	72 match 1 shared topics	CyberTrace \| Secure Your Crypto Future with Blockchain Intelligence	en	information-and-network-security	robotsllmsaihumans	email phone	none
cyberintelligence.company ↗	72 match 1 shared topics	PRODAFT – Cyber Threat Intelligence and Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberthreat.watch ↗	72 match 1 shared topics	PRODAFT – Cyber Threat Intelligence and Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberintelligence.tech ↗	70 match 1 shared topics	Cyber Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-intelligence.tech ↗	70 match 1 shared topics	Cyber Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4vio.com ↗	70 match 1 shared topics	4VIO - Cyber Security \| Cyber Intelligence \| Open Source Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bastionintel.io ↗	70 match 1 shared topics	Bastion Intelligence - Security Reporting Tool	en	information-and-network-security	robotsllmsaihumans	emailphone	none
data-flare.io ↗	70 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cspd.io ↗	69 match 1 shared topics	CSP Domain Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybora.net ↗	69 match 1 shared topics	Cybora — Threat Intelligence Feeds for Firewalls	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybora.io ↗	69 match 1 shared topics	Cybora — Threat Intelligence Feeds for Firewalls	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberrisk.review ↗	69 match 1 shared topics	Cyber Risk Review — CCRT Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
broda.io ↗	69 match 1 shared topics	Threat Intelligence Feeds for Firewalls and SOC Teams \| Broda Software	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
keepmynetclean.com ↗	69 match 1 shared topics	NetClean \| Verified threat intelligence for insider risk	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
darkapi.io ↗	69 match 1 shared topics	DarkAPI Console - Threat Intelligence Dashboard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
data443.com ↗	69 match 1 shared topics	Data443: Real-Time AI Threat Intelligence Data Security	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
csintlarp.org ↗	69 match 1 shared topics	Sujrb \| OSINT Intelligence Platform	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.