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SilverSafe — Protect Yourself From Scams in 10 Simple Lessons — 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
scamdefenseusa.com ↗	74 match 1 shared topics	Scam Defense \| Protect Yourself from Scams	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
scamshieldcorp.com ↗	70 match 1 shared topics	ScamShield: Protect Yourself	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptoscamguide.com ↗	68 match 1 shared topics	Crypto Scam Guide \| Protect Your Crypto and Yourself	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agathamail.com ↗	68 match 1 shared topics	Protect your loved ones from email scams with Agatha Mail	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simpledomainmonitoring.com ↗	68 match 1 shared topics	Simple Domain Monitoring - Protect Your Brand from Typosquatting	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
detect7.com ↗	66 match 1 shared topics	Detect7 - Automatically protect your website from attacks	en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	full · 10
megadownloads.io ↗	66 match 1 shared topics	MEGA: Protect your Online Privacy	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mega.io ↗	66 match 1 shared topics	MEGA: Protect your Online Privacy	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
scamvector.com ↗	66 match 1 shared topics	ScamVector.com — AI Scam Protection for Seniors & Families \| Instant Scam Detector	en	information-and-network-security	robotsllmsaihumans	email phone	none
digitaldefense.tech ↗	66 match 1 shared topics	DigitalDefense \| Protect Your Business from Cyber Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
maskpit.com ↗	65 match 1 shared topics	MaskPit - Protect Your Email Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agenthita.org ↗	65 match 1 shared topics	Agent Hita — On-Device AI Protection from Digital Manipulation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
boontel.com ↗	65 match 1 shared topics	Boontel — Phone Scam Protection for Seniors & Families	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agent57.ai ↗	65 match 1 shared topics	Agent 57 — Identity Protection for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxrion.com ↗	65 match 1 shared topics	Modern PHP code protection — Oxrion	en	information-and-network-security	robots llmsaihumans	emailphone	none
oxynger.com ↗	65 match 1 shared topics	Virtual Keyboard to Protect Passwords from Keyloggers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pacermonitorremoval.com ↗	65 match 1 shared topics	Pacer Monitor Removal - Protect Your Personal Information	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
scamdefenseproject.com ↗	65 match 1 shared topics	Scam Defense Project — Know the Patterns. Stay Protected.	en	information-and-network-security Gumroad	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.