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SBOMly - Automated SBOM Generation & Vulnerability Scanning — 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
sayedaasim.com ↗	72 match 1 shared topics	Automated Vulnerability Scanner for Modern Web Apps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deadband.org ↗	71 match 1 shared topics	deadband — ICS/OT Firmware Vulnerability Scanner	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
scananchor.com ↗	70 match 1 shared topics	Vulnerability Scanning from £79/mo — No Per-IP Fees \| ScanAnchor	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
scanng.com ↗	70 match 1 shared topics	ScanNG - Wordpress vulnerability scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devsectools.com ↗	70 match 1 shared topics	DevSecTools - vulnerability scanning and attack surface discovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scalablenetworks.org ↗	68 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
scanvigil.com ↗	68 match 1 shared topics	ScanVigil - Automated Website Security Scanner	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pacci-cvms.com ↗	68 match 1 shared topics	PACCI CVMS \| Cyber Vulnerability Management	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
dimva.org ↗	68 match 1 shared topics	DIMVA - Conference on Detection of Intrusions and Malware & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mattkfay.com ↗	68 match 1 shared topics	Matt Fay - Software Developer & Vulnerability Researcher	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
scanometry.com ↗	68 match 1 shared topics	Scanometry - AI-Powered Website Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tidebinder.dev ↗	68 match 1 shared topics	Matt Fay - Software Developer & Vulnerability Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cvedynamictracker.com ↗	68 match 1 shared topics	CVE Dynamic Tracker — Real-Time Vulnerability Monitoring for SMBs	Canada~ 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
deepnotch.ai ↗	67 match 1 shared topics	Automated Compliance Monitoring & Audit Automation	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.