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OWNED BY > AFM_1337_ || ./Oblivion71~ | 1001 ONE Thousand and ONE | Bangladesh Cyber Underground — 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
voicemailphishing.com ↗	61 match 2 shared topics	Home \| Voicemail Phishing	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ponarize.com ↗	61 match 2 shared topics	Ponarize IP Blacklist Search / Web Categorize	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1autoparts.com ↗	60 match 2 shared topics	Bot protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3etrading.com ↗	60 match 2 shared topics	Eckankar	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
showeverstage.com ↗	40 match 2 shared topics	Security Check	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2ghaq.com ↗	40 match 2 shared topics	SHARK LUCK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
krakendarknetvk.com ↗	40 match 2 shared topics	Кракен ссылка \| Kraken даркнет сайт \| Kraken onion ссылка	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bawn.com ↗	34 match 1 shared topics	Crush Cyber Risk \| Bawn	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
mccrarythreatbeat.com ↗	34 match 1 shared topics	Threat Beat - Cyber and Critical Infrastructure News	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mccrarythreatbeat.net ↗	34 match 1 shared topics	Threat Beat - Cyber and Critical Infrastructure News	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mccrarythreatbeat.org ↗	34 match 1 shared topics	Threat Beat - Cyber and Critical Infrastructure News	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
shoyibhasan.com ↗	34 match 1 shared topics	SHOYIB HASAN — Cyber Expert & Ethical Technologist Shoyib Hasan \| Cyber Expert & Ethical Technologist	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
p-x.tech ↗	34 match 1 shared topics	P-X Systems \| Sovereign Defence-Grade Cyber and OT Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
assuredata.eu ↗	34 match 1 shared topics	Cyber Security And Data Protection Specialists \| Assuredata	European Union en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
herrhozi.com ↗	34 match 1 shared topics	Herr HoZi – Detect And Respond To Cyber Attacks	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
100security.net ↗	33 match 1 shared topics	Security and Compliance \| 100% Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cm-alliance.com ↗	33 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
hackit.co ↗	33 match 1 shared topics	HackIT Cyber Security and Advisory \| Trusted Security Solutions	Colombia 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.