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Nmap Network Scanning—The Official Nmap Project Guide to Network Discovery and Security 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
thehoustonhacker.com ↗	67 match 1 shared topics	The Houston Hacker – Network Security Related Projects and Write-Ups	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0ac.io ↗	67 match 1 shared topics	ProjectDiscovery · Security Testing Endpoint	en	information-and-network-security	robotsllmsaihumans	emailphone	none
themattreid.com ↗	67 match 1 shared topics	System and network security	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
blockahacker.com ↗	66 match 1 shared topics	BlockAhacker \| Website Security Scanning for Small Businesses	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
c11y.org ↗	66 match 1 shared topics	Welcome to the Cyber Security Program Guide \| c11y - Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nexusmarket-main.com ↗	66 match 1 shared topics	Nexus Market — #1 Source for Official Links & Security Guides	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
mcpscan.ai ↗	66 match 1 shared topics	mcpscan.ai - MCP Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tutelisaegis.com ↗	66 match 1 shared topics	Passive Website Security Scanning \| Tutelis Aegis Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dpbasham.com ↗	66 match 1 shared topics	\| David Basham's Network Security Portfolio	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jfwaf.net ↗	66 match 1 shared topics	JFWAF - Enterprise Network Security & WAF Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
qosgate.net ↗	66 match 1 shared topics	Qosgate \| Network & Security Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackopsmarketurl.shop ↗	66 match 1 shared topics	Black Ops Market Url \| Security Analysis & Network Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pysentry.com ↗	65 match 1 shared topics	🐍 PySentry - Python Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ayhamasfoor.engineer ↗	65 match 1 shared topics	Ayham Asfour \| Network Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
brucon.org ↗	65 match 1 shared topics	BruCON \| Security and hacker conference and training	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
gulfcyberfenderhub.com ↗	65 match 1 shared topics	Infra, Network & Cyber Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscan.org ↗	65 match 1 shared topics	Centre for Security, Communications and Network Research, University of Plymouth	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.