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ScammerPro - Community Powered Scam Prevention & Fraud Intelligence — 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
skannly.com ↗	69 match 2 shared topics	Skannly \| Community-Powered Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
galaintelligence.com ↗	68 match 2 shared topics	AI-Powered Family Safety & Fraud Protection	India~ en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
scamflare.com ↗	67 match 2 shared topics	Scamflare - Free Website Security Checker \| AI-Powered Scam Detection	en	information-and-network-security	robots llmsaihumans	emailphone	none
scamguardapp.com ↗	66 match 2 shared topics	Scam Guard: Protect Against Scammers \| Scam Guard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
savisecurity.com ↗	66 match 2 shared topics	Smarter protection from scams and fraud. \| Savi	en	information-and-network-security	robotsllmsaihumans	emailphone	none
silversentry.com ↗	66 match 2 shared topics	SilverSentry - 24/7 Human Scam Verification \| Protect Your Family from AI Voice Clones & Fraud	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scambrake.com ↗	66 match 2 shared topics	ScamBrake - Real-Time Scam Protection for Email, Messages & Social Media	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sketchyscan.com ↗	65 match 2 shared topics	SketchyScan - AI Scam Detector \| Protect Against Phishing & Fraud	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamavert.com ↗	65 match 2 shared topics	ScamAvert — Real-Time Scam Protection Across Web, Texts & Apps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptolphin.com ↗	65 match 2 shared topics	Cryptolphin - Crypto Scam Protection For Browser, Mobile, And Telegram	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
scamsenseapp.com ↗	64 match 2 shared topics	ScamSense — Check Before You Trust \| Detect Scams Instantly	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamcrak.com ↗	64 match 2 shared topics	ScamCrak – Free AI Scam Detector	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamrank.com ↗	64 match 2 shared topics	ScamRank – Trust Signal App \| Detect Scams Instantly	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamnet.app ↗	64 match 2 shared topics	ScamNet Security App - ScamNet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamioo.com ↗	64 match 2 shared topics	Scamioo -by ATN Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamguardpro.com ↗	64 match 2 shared topics	ScamGuard Pro — Free AI Scam Checker for Texts, Emails & Links	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
scamtrac.com ↗	64 match 2 shared topics	ScamTrac - Expose Fake Apps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamshield-pro.com ↗	64 match 2 shared topics	ScamShield Pro \| Scan Links, Messages, Numbers, and Emails	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.