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MCSC Team Formation Contest — 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
sitesinformation.com ↗	69 match 2 shared topics	Sites Information -	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pruvendo.com ↗	66 match 2 shared topics	Pruvendo - Formal Verification for Smart Contracts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astro-ai.dev ↗	63 match 2 shared topics	Apex Commons - Building Secure Automation for the Public Good	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nephack.com ↗	63 match 2 shared topics	NEPHACK - Pentester, Security Researcher & Red Team	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
adamcouch.co.uk ↗	63 match 2 shared topics	IT on the Couch - Talking everything Information Security, from Penetration Testing, System Hardening to Information Assurance.	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aswpodcast.com ↗	62 match 2 shared topics	Application Security Weekly \| SC Media	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sitescard.com ↗	62 match 2 shared topics	sitescard.com \| Innovation and Security	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
0ath.io ↗	62 match 2 shared topics	Øath - Unified Auth Layer for vSMPL \| Zero-Friction Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1io.com ↗	62 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
100daysofredteam.com ↗	62 match 2 shared topics	100 Days of Red Team \| Uday Mittal \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 2
mythx.io ↗	62 match 2 shared topics	MythX: Smart contract security service for Ethereum	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
attacklens.io ↗	62 match 2 shared topics	AttackLens \| Continuous Exposure Management Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 18
1password.dev ↗	62 match 2 shared topics	1Password Developer Documentation - 1Password Developer	en	technology-and-computing	robots llmsaihumans	emailphone	none
ehrql.org ↗	62 match 2 shared topics	ehrQL - OpenSAFELY documentation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
provable.io ↗	62 match 2 shared topics	Provable.io — Provably Fair Random Number Generation API	en	information-and-network-security	robots llmsaihumans	emailphone	none
cathaxor.dev ↗	62 match 2 shared topics	Abdur Rahaman Abdulla - Cybersecurity Expert & Content Creator	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xrayaa.com ↗	62 match 2 shared topics	Sanket_722 – Smart Contract Auditor	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
interfluves.com ↗	62 match 2 shared topics	Interfluves Security – Shaping the Next Generation of Cybersecurity	en	information-and-network-security WordPress WooCommerce	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.