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Scamstall alternatives & similar sites

Scam & Fraud Prevention — 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
123verifi.com ↗	74 match 1 shared topics	123Verifi.com — Fraud Prevention	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectingmalice.com ↗	73 match 1 shared topics	Detecting Malice - Fraud Loss Prevention	en	information-and-network-security	robotsllmsaihumans	emailphone	none
24metrics.com ↗	71 match 1 shared topics	Realtime Click and Affiliate Fraud Prevention	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
ownid.com ↗	71 match 1 shared topics	OwnID by Unico - Enterprise Identity Fraud Prevention	en	information-and-network-security	robots llmsaihumans	emailphone	none
0secure.com ↗	70 match 1 shared topics	ZeroHack \| cybercrime prevention & response	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
threatsys.com ↗	70 match 1 shared topics	Security - Threat prevention	en	information-and-network-security	robotsllmsaihumans	emailphone	none
silversavvytech.net ↗	69 match 1 shared topics	Silver Savvy Tech \| Senior Tech & Scam Prevention DFW	United States~ en	information-and-network-security	robots llmsaihumans	email phone	none
scambustr.com ↗	68 match 1 shared topics	Scam Bustr — Cyber Intelligence & Fraud Recovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
biocatch.com ↗	68 match 1 shared topics	BioCatch - Behavioral Intelligence to Prevent Fraud & Build Trust	en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
appgate.com ↗	68 match 1 shared topics	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamuraix.com ↗	67 match 1 shared topics	ScamuraiX - AI-Powered Scam and Fraud Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wcaptcha.com ↗	67 match 1 shared topics	Bot & Online Fraud Protection Solution \| xCaptcha	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agilecybersecurity.solutions ↗	66 match 1 shared topics	ACS \| PREDICT \| PREVENT \| PERSIST	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
scampd.com ↗	66 match 1 shared topics	SCAM PD Cybersecurity \| Quad Cities Small Business Protection	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
prevenmap.cl ↗	66 match 1 shared topics	Prevenmap	Chile en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamshieldcorp.com ↗	66 match 1 shared topics	ScamShield: Protect Yourself	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digital-safeguard.org ↗	66 match 1 shared topics	Technology-Facilitated Abuse Prevention \| The Digital Safeguard Centre	Australia~ en	information-and-network-security Adobe Experience Manager Spree Commerce	robotsllmsaihumans	emailphone	none
digitalsafeguard.org ↗	66 match 1 shared topics	Technology-Facilitated Abuse Prevention \| The Digital Safeguard Centre	Australia~ en	information-and-network-security Adobe Experience Manager Spree Commerce	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.