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Getphinsecuritylabs alternatives & similar sites

Phin Security | MSP Focused Phishing Training & Simulation — 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
capsplatform.com ↗	75 match 1 shared topics	CAPS - Advanced Phishing Simulation & Security Awareness Training	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0penai-gpt.com ↗	75 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	75 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1f.io ↗	72 match 1 shared topics	Phishing Simulation & Awareness Training - Fished	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avoidscam.online ↗	71 match 1 shared topics	Penetration Testing & Security Training \| ClickSecure.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
clicksecure.ai ↗	71 match 1 shared topics	Penetration Testing & Security Training \| ClickSecure.AI	en	information-and-network-security	robots llmsaihumans	email phone	none
noasec.com ↗	71 match 1 shared topics	NoaSec Cybersecurity Training & Services \| Kottayam, Kerala	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vsecure.io ↗	70 match 1 shared topics	vSecure - Offering top-notch staff augmentation and cybersecurity training!	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cs-academy.org ↗	70 match 1 shared topics	CS-Academy — Cybersecurity, Ethical Hacking & GNU/Linux Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
networking4all.eu ↗	70 match 1 shared topics	Expert in SSL, Penetration testing & Managed Security \| Networking4all	European Union en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
staywatchful.com ↗	68 match 1 shared topics	StayWatchful - Cybersecurity Training Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eevsec.com ↗	68 match 1 shared topics	CyberRange, Live-Fire Cybersecurity Training	India~ en	information-and-network-security	robots llmsaihumans	email phone	partial · 8
cm-alliance.com ↗	68 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
crysm.net ↗	68 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
in-security.eu ↗	68 match 1 shared topics	In Security Magazine	European Union en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
alluresecurity.com ↗	68 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
lbmcyber.com ↗	68 match 1 shared topics	Cybersecurity Awareness Training for Small Businesses \| LBM Cyber	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rolesec.com ↗	68 match 1 shared topics	RoleSec \| Role-Based Cybersecurity Training for Finance Teams	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.