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Phishing for Excellence and My Cyber Journey – Exploring My Path into the Cybersecurity World — 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
cybergodwill.blog ↗	80 match 1 shared topics	Cybersecurity Journey – documenting my start in the cybersecurity world	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
resiliencecybersecurity.com ↗	72 match 1 shared topics	Resilience Cybersecurity - Resilience Cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cybersecuritysummit.tech ↗	72 match 1 shared topics	The Cybersecurity Transformation Summit	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecuritycapabilitymodel.com ↗	71 match 1 shared topics	Cybersecurity - Cyber City Map	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cybercollaborationcenter.org ↗	71 match 1 shared topics	Cyber Collaboration Center – Cybersecurity Training and Education	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyber-1.tech ↗	71 match 1 shared topics	Cyber-1.TECH – Adventures in Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kellyeley.com ↗	71 match 1 shared topics	Kelly Eley – Cybersecurity researcher and writer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1defender.com ↗	70 match 1 shared topics	1Defender - Unified cybersecurity for total defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.my ↗	70 match 1 shared topics	CyberSecurity Malaysia	en	information-and-network-security	robotsllmsaihumans	emailphone	none
debradcliff.com ↗	70 match 1 shared topics	Cyber Security \| DeRad Cybersecurity Publishing	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
olympus-infotech.com ↗	70 match 1 shared topics	Cybersecurity and IAM Specialists	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkcyber.net ↗	70 match 1 shared topics	Dark Cyber – Cyber Security News	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
fafocybersecurity.com ↗	70 match 1 shared topics	FAFO Cybersecurity \| Kesha Lindbergdashwork	en	information-and-network-security	robotsllmsaihumans	email phone	none
onecyber.com ↗	70 match 1 shared topics	One Cyber \| The Cybersecurity Buyer Database for B2B Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ssicybersec.com ↗	70 match 1 shared topics	SSI CyberSec - Your Partner in Cybersecurity Excellence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberleech.blog ↗	70 match 1 shared topics	Cyberleech – Cyber Security for CSC301	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberdom.blog ↗	70 match 1 shared topics	CYBERDOM - Another day of Cybersecurity	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cyberbits.blog ↗	70 match 1 shared topics	cyberbits – Cyber Security Tips	en	information-and-network-security WordPress	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.