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Kevdb alternatives & similar sites

KEV Database | Open Source Threat Intelligence — 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
defcondatabase.com ↗	75 match 1 shared topics	DEFCON Database — Open-Source Global Threat Intelligence \| Panoptica	en	information-and-network-security	robots llms aihumans	emailphone	none
delftintellab.com ↗	73 match 1 shared topics	Delft Threat Intelligence Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
whiteout.net ↗	72 match 1 shared topics	Whiteout · Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nestler.dev ↗	72 match 1 shared topics	Sentinel \| Enterprise Threat Intelligence \| nestler.dev	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zvelo.com ↗	72 match 1 shared topics	Threat Intelligence, URL Database & Web Classification Solutions	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
researchgonecoastal.com ↗	72 match 1 shared topics	Coastal Research \| OT Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctx.io ↗	71 match 1 shared topics	CTX \| Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nordstellar.com ↗	71 match 1 shared topics	NordStellar: External threat intelligence for business	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
misp-project.org ↗	71 match 1 shared topics	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
misp.software ↗	71 match 1 shared topics	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepsecure.io ↗	71 match 1 shared topics	DeepSecure - Dark Web Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4vio.com ↗	71 match 1 shared topics	4VIO - Cyber Security \| Cyber Intelligence \| Open Source Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deceptionstrike.com ↗	70 match 1 shared topics	Deception Strike - Threat Intelligence Platform	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kittymagician.com ↗	70 match 1 shared topics	Kitty Magician - Threat Intelligence Consultant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getsocradar.com ↗	70 match 1 shared topics	SOCRadar Extended Threat Intelligence Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
abuse.abudhabi ↗	70 match 1 shared topics	Abuse Intelligence Labs — Cyber Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
terriscope.com ↗	70 match 1 shared topics	Terriscope \| Real-Time Terrorism Alerts & Threat Intelligence	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
6ringsdata.com ↗	70 match 1 shared topics	6Rings \| Operational Intelligence	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.