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CVE Database — Search Vulnerabilities | Secably — Secably — 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
korlia.com ↗	68 match 1 shared topics	korlia — non-invasive risk & vulnerabilities assessment	en	information-and-network-security	robots llmsaihumans	emailphone	full · 10
mostexploited.com ↗	67 match 1 shared topics	Vulnerability Analysis & Cybersecurity Insights \| MostExploited	en	information-and-network-security	robotsllmsaihumans	emailphone	none
connectsecure.com ↗	66 match 1 shared topics	Vulnerability Management System & Assessment \| ConnectSecure	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
package-scanner.dev ↗	66 match 1 shared topics	PackageScanner - Malware and vulnerability scanner for npm dependencies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	66 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mcclansy.com ↗	66 match 1 shared topics	Home \| About \| Services \| Products \| Capabilities \| Trust Center \| Research \| Careers \| Contact \| Privacy Policy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dcrinstitute.org ↗	65 match 1 shared topics	Data Clean Room Institute — Standards and research for privacy-safe data collaboration	en	information-and-network-security	robots llmsaihumans	emailphone	none
bitcoinabuse.com ↗	65 match 1 shared topics	Bitcoin Abuse Database	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	64 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
connectbiomarketing.com ↗	64 match 1 shared topics	Chainbase — Web3 Wallet Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sidops.com ↗	64 match 1 shared topics	Sid Pillarisetty — Senior Security Engineer & SecOps Consultant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0patch.com ↗	64 match 1 shared topics	Better Security Patches \| 0patch	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
korit.io ↗	64 match 1 shared topics	Korit — Tri-layer Linux Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdelta.org ↗	64 match 1 shared topics	0xD3lta Research — Offensive & Defensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
android-device-security.eu ↗	64 match 1 shared topics	Android Device Security Database	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
1patchsecurity.com ↗	64 match 1 shared topics	One Patch Security \| WordPress Security Architects	en	information-and-network-security	robotsllmsaihumans	emailphone	none
confishare.io ↗	64 match 1 shared topics	Confishare — Secure Document Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sighls.com ↗	64 match 1 shared topics	Enhancing Security Measures for US Government Agencies and Local Entities \| SIG HOMELAND SECURITY	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.