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Cyberlearningpath alternatives & similar sites

Cyber Learning Path - Your Gateway to IT Security Excellence — 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
hsandtc.com ↗	66 match 2 shared topics	Siker Cyber Security – Believe – Learn – Achieve	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
herocyber.net ↗	65 match 2 shared topics	Hero Cyber – CompTIA Security Courses	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0x-feed.org ↗	64 match 2 shared topics	0x_FEED — Cybersecurity Education & Intel for Students	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kelassiber.com ↗	64 match 2 shared topics	Kelas Siber – Cybersecurity Knowledge Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kelashacker.com ↗	64 match 2 shared topics	Kelas hacker Online terbaik \| No. 1 Cyber Security Training - PT. Teknologi Server Indonesia	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bugthrive.com ↗	64 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 ↗	63 match 2 shared topics	Dartkite delivers bespoke and affordable cybersecurity tabletop exercises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
virtualhackinglabs.com ↗	61 match 2 shared topics	Virtual Hacking Labs \| Penetration Testing Training Labs & Courses	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
darknetrecon.com ↗	61 match 2 shared topics	DarkNet Recon	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
csavegas.org ↗	60 match 2 shared topics	Home - Generic	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cursotejiendoseguridad-digital.com ↗	60 match 2 shared topics	Tejiendo Seguridad Digital	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cveplayground.com ↗	60 match 2 shared topics	CVE Playground - Hands-on CVE labs and writeups	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darkwebacademy.com ↗	60 match 2 shared topics	Dark Web Academy - Master Privacy & Anonymity	en	information-and-network-security	robots llmsaihumans	emailphone	none
mechanicalhacker.com ↗	60 match 2 shared topics	Mechanical hacker	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 ↗	45 match 2 shared topics	100xsecurity — Cybersecurity Education, Tools & Training Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
cysentinel.app ↗	44 match 2 shared topics	Cyber Sentinel Alliance — Cybersecurity & AI Education	en	information-and-network-security	robots llmsaihumans	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.