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exPANDAbilities.org | exPANDing Your Cybersecurity Ability – expandabilities — 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
a7securityhunters.com ↗	68 match 2 shared topics	A7 Security Hunters \| Expert Cybersecurity Certifications Worldwide	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
0x-feed.org ↗	66 match 2 shared topics	0x_FEED — Cybersecurity Education & Intel for Students	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aca.om ↗	66 match 2 shared topics	Advanced Cybersecurity Academy - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bugthrive.com ↗	66 match 2 shared topics	BugThrive Labs (BLabs) \| Cybersecurity Training & Hands-On Hacking Labs	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
dartkite.com ↗	65 match 2 shared topics	Dartkite delivers bespoke and affordable cybersecurity tabletop exercises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bunsecurity.dev ↗	64 match 2 shared topics	Bun JavaScript Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkwebacademy.com ↗	62 match 2 shared topics	Dark Web Academy - Master Privacy & Anonymity	en	information-and-network-security	robots llmsaihumans	emailphone	none
abidkhan.net ↗	62 match 2 shared topics	Abid Khan \| CCIE Enterprise \| CCIE datacenter \| CCIE Service provider \| CCIE Security \| CCNP Enterprise \| CCNA Enterprise \| Online Classes \| Online Tuition \| Online Lectures	en	information-and-network-security	robotsllmsaihumans	email phone	none
virtualhackinglabs.com ↗	62 match 2 shared topics	Virtual Hacking Labs \| Penetration Testing Training Labs & Courses	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csavegas.org ↗	61 match 2 shared topics	Home - Generic	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
darknetrecon.com ↗	61 match 2 shared topics	DarkNet Recon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mechanicalhacker.com ↗	61 match 2 shared topics	Mechanical hacker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyverionix.org ↗	60 match 2 shared topics	Cyverionix	en	information-and-network-security Shopify	robots llmsaihumans	emailphone	none
dciscoacademy.com ↗	60 match 2 shared topics	DCisco Academy \| Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlineprivacyplan.com ↗	60 match 2 shared topics	Online Privacy Plan	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
100xsecurity.com ↗	48 match 2 shared topics	100xsecurity — Cybersecurity Education, Tools & Training Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
cysentinel.app ↗	47 match 2 shared topics	Cyber Sentinel Alliance — Cybersecurity & AI Education	en	information-and-network-security	robots llmsaihumans	emailphone	none
facyber.com ↗	46 match 2 shared topics	First Atlantic Cybersecurity Institute, USA	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.