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Panoptes | Vulnerability Dashboard — 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
1hacking.com ↗	71 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
hextrackr.com ↗	69 match 1 shared topics	HexTrackr - Vulnerability Management	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
connectsecure.com ↗	68 match 1 shared topics	Vulnerability Management System & Assessment \| ConnectSecure	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
hiddeninvestigations.net ↗	68 match 1 shared topics	Hidden Investigations \| Cybersecurity Research, Vulnerability Disclosure & CTF Community	en	information-and-network-security	robotsllmsaihumans	emailphone	none
package-scanner.dev ↗	67 match 1 shared topics	PackageScanner - Malware and vulnerability scanner for npm dependencies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
korlia.com ↗	66 match 1 shared topics	korlia — non-invasive risk & vulnerabilities assessment	en	information-and-network-security	robots llmsaihumans	emailphone	full · 10
0patch.com ↗	66 match 1 shared topics	Better Security Patches \| 0patch	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
csmap.dev ↗	65 match 1 shared topics	SMAP - Security Maturity Assessment Portal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
michaelcoates.co ↗	65 match 1 shared topics	Michael Coates \| CISO & CyberSecurity VC	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
complianceforge.com ↗	64 match 1 shared topics	Cybersecurity Documentation Templates \| ComplianceForge	United States~ en	information-and-network-security Snipcart	robots llmsaihumans	emailphone	none
lambdabit.io ↗	64 match 1 shared topics	Lambda Bit \| Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
compuquiptechnologies.com ↗	64 match 1 shared topics	Cybersecurity Solutions \| Enterprise IT Security Services \| Compuquip	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
compuquipcybersecurity.com ↗	64 match 1 shared topics	Cybersecurity Solutions \| Enterprise IT Security Services \| Compuquip	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
compuquip.com ↗	64 match 1 shared topics	Cybersecurity Solutions \| Enterprise IT Security Services \| Compuquip	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
voidvuln.com ↗	64 match 1 shared topics	VoidVuln \| Security Research & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
polaristechsolutions.com ↗	64 match 1 shared topics	SMB Cybersecurity & Managed IT	en	information-and-network-security	robotsllmsaihumans	email phone	none
did-me.org ↗	64 match 1 shared topics	did:me \| Decentralized Identifier Method for eIDAS 2.0 and EUDI Wallet Interoperability	en	information-and-network-security	robots llms aihumans	emailphone	none
mooreoncyber.com ↗	64 match 1 shared topics	Moore on Cyber — Commercial & Federal Cybersecurity Architecture	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.