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KEVIntel — Real-Time Exploited Vulnerability 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
algiz.biz ↗	70 match 2 shared topics	Algiz — Internal & External Vulnerability Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
teravul.com ↗	68 match 2 shared topics	Teravul — DevSecOps Vulnerability Management Platform \| Scan, Prioritize, Remediate	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
defectdojo.com ↗	68 match 2 shared topics	DefectDojo: Open-Source Vulnerability Management and ASPM	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
deepengine.com ↗	68 match 2 shared topics	Home \| Deepengine – one platform to find and manage vulnerabilities	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
deepengine.io ↗	68 match 2 shared topics	Home \| Deepengine – one platform to find and manage vulnerabilities	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
cyberthreatintelpodcast.com ↗	68 match 2 shared topics	Cyber Threat Intelligence Podcast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
actualgeneralintelligence.com ↗	67 match 2 shared topics	ARBITER — Actual General Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
msthreatintelpodcast.com ↗	67 match 2 shared topics	The Microsoft Threat Intelligence Podcast	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
spyonweb.net ↗	67 match 2 shared topics	SpyOnWeb — Domain Intelligence & Reverse Lookup Tool	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
0daysec.xyz ↗	66 match 2 shared topics	Zer0day Sec \| Web3 Security Intelligence & Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
addressplus.chat ↗	66 match 2 shared topics	AddressPlus - Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
en3.com ↗	66 match 2 shared topics	EN3 — Infrastructure Security & Cost Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sscv-framework.org ↗	66 match 2 shared topics	SSCV Framework - Contextual Vulnerability Risk Scoring \| System Security Context Vector	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stackshield.io ↗	66 match 2 shared topics	Laravel Security Monitoring & Vulnerability Scanner \| StackShield	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
cyfirma.com ↗	66 match 2 shared topics	Predictive Threat Intelligence \| Preemptive External Threat Landscape Management \| Cybersecurity Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
decyfir.io ↗	66 match 2 shared topics	Predictive Threat Intelligence \| Preemptive External Threat Landscape Management \| Cybersecurity Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
reportizflow.com ↗	66 match 2 shared topics	CVEs and Security Vulnerabilities CVEs and Security Vulnerabilities - OpenCVE	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stackgraveyard.dev ↗	66 match 2 shared topics	Stack Graveyard - npm & Python Dependency Risk 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.