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Laravel Security Monitoring & Vulnerability Scanner | StackShield — 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 ↗	69 match 2 shared topics	Algiz — Internal & External Vulnerability Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sscv-framework.org ↗	68 match 2 shared topics	SSCV Framework - Contextual Vulnerability Risk Scoring \| System Security Context Vector	en	information-and-network-security	robotsllmsaihumans	emailphone	none
reportizflow.com ↗	68 match 2 shared topics	CVEs and Security Vulnerabilities CVEs and Security Vulnerabilities - OpenCVE	en	information-and-network-security	robotsllmsaihumans	emailphone	none
teravul.com ↗	67 match 2 shared topics	Teravul — DevSecOps Vulnerability Management Platform \| Scan, Prioritize, Remediate	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
defectdojo.com ↗	67 match 2 shared topics	DefectDojo: Open-Source Vulnerability Management and ASPM	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
notcve.org ↗	67 match 2 shared topics	NotCVE \| CPE-Compatible Vulnerability Search, Alerts, API & MCP	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0-x.dev ↗	66 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spynoid.org ↗	66 match 2 shared topics	Live Device Monitoring Made Simple \| SpyNoid Official	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cyberchampions.my ↗	66 match 2 shared topics	Cyber Champions: Empowering Digital Security and Innovation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kevintel.com ↗	66 match 2 shared topics	KEVIntel — Real-Time Exploited Vulnerability Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	66 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xkannan.ninja ↗	66 match 2 shared topics	Kannan K \| Security Engineer & Full-Stack Builder	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gavin-crigger.com ↗	66 match 2 shared topics	Gavin Crigger - Cybersecurity and Sustainability Enthusiast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dbugging.com ↗	66 match 2 shared topics	Dbugging - CYBER SECURITY PLATFORM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
reqkey.com ↗	66 match 2 shared topics	ReqKey \| API Monitoring & Key Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kelvinsrose.com ↗	65 match 2 shared topics	KR \| Kelvin Rose — Security Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
7minsec.club ↗	65 match 2 shared topics	7 Minute Security's Substack \| Brian Johnson \| Substack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
reglund.com ↗	65 match 2 shared topics	Reglund's Security Hub - Hacking, Privacy & Tech Insights	en	information-and-network-security Ghost	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.