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Understanding Permission Creep and Digital Hygiene — 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
cybir.co ↗	67 match 1 shared topics	CYBIR - Cyber Security, Incident Response, and Digital Forensics	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
digitaldeputyact.org ↗	66 match 1 shared topics	The Digital Deputy Act: Expanding digital ethics and privacy rights	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xspectra.com ↗	66 match 1 shared topics	0xSpectra — Understanding the structures beneath the signals	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dguard.ai ↗	66 match 1 shared topics	DGuard – AI-Powered Digital Protection & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digsec.org ↗	66 match 1 shared topics	Digital Security and Privacy for Human Rights Defenders	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.org ↗	66 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.net ↗	66 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.info ↗	66 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
0penai-gpt.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
showseeker-okta.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitallysecure.pk ↗	66 match 1 shared topics	Digitally Secure - Pakistan's Leading Cyber Security Company	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
concensus.com ↗	66 match 1 shared topics	Building a Safer Digital World Concensus Technologies	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
bracketdomainvault.com ↗	66 match 1 shared topics	Bracket Domain Vault: Secure Your Digital Identity Today	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitaldying.org ↗	66 match 1 shared topics	DD: Digital Dying in Personal Information Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pango.co ↗	66 match 1 shared topics	Pango \| Digital Security Tools Made for Growth	Colombia en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
moontiger.com ↗	66 match 1 shared topics	Moon Tiger \| Securing the Digital Frontier	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalyodhafoundation.org ↗	66 match 1 shared topics	Digital Yodha Foundation \| Building a Cyber Safe India	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.