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The Web's Largest Community Tracking Online Fraud & Abuse | Project Honey Pot — 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
anoschat.online ↗	66 match 1 shared topics	Anos Chat Online – Secure Communication on the Web	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mobilehackingcommunity.com ↗	66 match 1 shared topics	Mobile Hacking Community \| Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscbinus.org ↗	65 match 1 shared topics	CyberSecurity Community	en	information-and-network-security	robotsllmsaihumans	emailphone	none
def.camp ↗	65 match 1 shared topics	International Hacking & Cyber Security Community - DefCamp 2026	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
geoiplookup.net ↗	65 match 1 shared topics	Industry leading IP Geolocation and Online Fraud Prevention \| MaxMind	en	information-and-network-security	robotsllmsaihumans	emailphone	none
modelcontextprotocol-security.io ↗	65 match 1 shared topics	Model Context Protocol Security \| A Cloud Security Alliance Community Project - Secure Autonomy: Hardening Model-Context-Protocol Servers & Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dnscrypt.org ↗	65 match 1 shared topics	DNSCrypt - Official Project Home Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dnscrypt.info ↗	65 match 1 shared topics	DNSCrypt version 2 - Official Project Home Page \| DNSCrypt	en	information-and-network-security	robotsllmsaihumans	emailphone	none
croxyproxy.com ↗	65 match 1 shared topics	Free web proxy and a cutting-edge online proxy \| CroxyProxy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberinvaders.tech ↗	65 match 1 shared topics	CyberInvaders \| Cybersecurity Club \| Ethical Hacking & CTF Community	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
keenly.com ↗	65 match 1 shared topics	Identity theft and fraud protection \| Keenly	en	information-and-network-security	robotsllmsaihumans	emailphone	none
megadownloads.io ↗	65 match 1 shared topics	MEGA: Protect your Online Privacy	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mega.io ↗	65 match 1 shared topics	MEGA: Protect your Online Privacy	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
reefiscope.com ↗	65 match 1 shared topics	The Evolution of Web Privacy and Modern Tracking Techniques	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
redteamperinthalmanna.com ↗	65 match 1 shared topics	Best Cyber Security Course \| Ethical Hacking Training Perinthalmanna	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1password.community ↗	65 match 1 shared topics	1Password Community \| 1Password Community	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getasanow.com ↗	65 match 1 shared topics	ASA — Free Online Scam Checker & Fraud Protection Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getlogdog.com ↗	64 match 1 shared topics	Anti-Hacking Protection App & Online Identity Theft Protection Services	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.