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Vulsan | Proactive Security & Vulnerability Disclosure — 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
cavarette.com ↗	71 match 1 shared topics	Free Website Security Scanner - Discover Vulnerabilities \| Cavarette	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sixthlayersecurity.com ↗	70 match 1 shared topics	SixthLayer Security \| Cut Through Vulnerability Noise. Fix What Actually Matters.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sitescanna.com ↗	69 match 1 shared topics	SiteScanna — Website Vulnerability Scanner \| Automated Security Assessment & Pen Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
auditica.net ↗	68 match 1 shared topics	Auditica- Security, SEO & Availability Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
doom-sec.com ↗	68 match 1 shared topics	DOOM-SEC \| Threat Intelligence & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protectivesecuritynetwork.org ↗	68 match 1 shared topics	The Protective Security Network	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberprotector.eu ↗	68 match 1 shared topics	Defencecorp – Proactive Cyber Security	European Union en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vornin.com ↗	68 match 1 shared topics	EU Vulnerability Scanner Platform \| Scan. Resolve. Prove.	en	information-and-network-security Drupal	robots llmsaihumans	emailphone	none
lmgsecurity.com ↗	68 match 1 shared topics	Your One-Stop Shop for Proactive Cybersecurity \| LMG Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ccur1.com ↗	68 match 1 shared topics	CCUR1 Security Checker - Free Vibe Coding Security Scanner & Web App Vulnerability Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	none
proteqon.com ↗	68 match 1 shared topics	ProteQon — Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csipress.org ↗	68 match 1 shared topics	Cognitive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csi-press.org ↗	68 match 1 shared topics	Cognitive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	68 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
protegan.com ↗	67 match 1 shared topics	Network Security Services \| protegan	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
protegec.com ↗	67 match 1 shared topics	Network Security Services \| protegec	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
protegiar.com ↗	67 match 1 shared topics	Network Security Services \| protegan	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
voidvuln.com ↗	67 match 1 shared topics	VoidVuln \| Security Research & Advisory	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.