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Stop Brandjacking Before It Starts [#]shadyhacks | Huntress — 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
datafence.ai ↗	65 match 1 shared topics	DataFence — Stop Data Breaches Before They Happen	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datafencepros.com ↗	65 match 1 shared topics	DataFence — Stop Data Breaches Before They Happen	en	information-and-network-security	robotsllmsaihumans	emailphone	none
antisocialengine.com ↗	65 match 1 shared topics	Anti Social Engine — Stop Social Engineering Before the Damage Is Done	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0day.net ↗	65 match 1 shared topics	DEF CON® Hacking Conference Home	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 20
datamasking.io ↗	64 match 1 shared topics	Data Masking Tools \| Conventional + GenAI-powered	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
datasecure.ai ↗	64 match 1 shared topics	DataSecure RDR - Stop zero-day attacks with maximum protection.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberlympics.org ↗	64 match 1 shared topics	Global Cyberlympics \| International Hacking Competition	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
hecfblog.com ↗	64 match 1 shared topics	Hacking Exposed Computer Forensics Blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethicallyhackingspace.com ↗	64 match 1 shared topics	ethicallyHackingspace (eHs)®	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethicallyhackingspace.org ↗	64 match 1 shared topics	ethicallyHackingspace (eHs)®	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethicallyhackingspace.net ↗	64 match 1 shared topics	ethicallyHackingspace (eHs)®	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vitatechnology.net ↗	64 match 1 shared topics	Comprehensive IT Solutions \| Vita Technology	en	information-and-network-security Snipcart	robotsllmsaihumans	emailphone	none
keesingtechnologies.com ↗	64 match 1 shared topics	Identity verification you can trust - Keesing Technologies	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
anonymoushackerss.com ↗	64 match 1 shared topics	Hire a Hacker \| Anonymous Hackers \| Pro hacking services	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
remindtag.app ↗	64 match 1 shared topics	RemindTag \| Stop Guessing. Start Verifying.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
hsctf.com ↗	64 match 1 shared topics	Hacking Blog - hacking and computer security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3gisecure.com.pe ↗	64 match 1 shared topics	3G ISecure \| Ethical Hacking y Ciberseguridad	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hacker9.com ↗	64 match 1 shared topics	Hacker9 \| CyberSecurity, Hacking Tools, IT and Software	United States~ en	information-and-network-security WordPress WooCommerce	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.