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Vulnerability Scanning from £79/mo — No Per-IP Fees | ScanAnchor — 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
sbomly.com ↗	70 match 1 shared topics	SBOMly - Automated SBOM Generation & Vulnerability Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
website-protector.com ↗	70 match 1 shared topics	SecurityScan Pro - Website Vulnerability Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scanng.com ↗	69 match 1 shared topics	ScanNG - Wordpress vulnerability scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devsectools.com ↗	69 match 1 shared topics	DevSecTools - vulnerability scanning and attack surface discovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pacci-cvms.com ↗	68 match 1 shared topics	PACCI CVMS \| Cyber Vulnerability Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scansafeguard.com ↗	68 match 1 shared topics	ScanSafeguard - AI-Powered Security Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webscansec.com ↗	68 match 1 shared topics	Scan & Protect Your Website \| Advanced Security Scanner \| Website Security Scanner \| Free Online Vulnerability Check	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sayedaasim.com ↗	67 match 1 shared topics	Automated Vulnerability Scanner for Modern Web Apps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	67 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
skav.io ↗	67 match 1 shared topics	Skavio — Website Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpscanner.cloud ↗	66 match 1 shared topics	MCP Scanner — Security Scanner for MCP Servers	en	information-and-network-security	robots llmsaihumans	emailphone	none
dimva.org ↗	66 match 1 shared topics	DIMVA - Conference on Detection of Intrusions and Malware & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpscan.ai ↗	66 match 1 shared topics	mcpscan.ai - MCP Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aishields.tech ↗	66 match 1 shared topics	AuditAgency — Enterprise Cyber Auditing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
websecuritycheck.dev ↗	66 match 1 shared topics	WebSecurityCheck - Website Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scault.com ↗	66 match 1 shared topics	Scault — Security Scanner for Vibe Coders	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scalablenetworks.org ↗	65 match 1 shared topics	SCALABLE NETWORKS AUS – PROACTIVE CYBER SECURITY – Automated and continual vulnerability management and remediation at scale	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
scanometry.com ↗	65 match 1 shared topics	Scanometry - AI-Powered Website Security Scanner	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.