CppDB - SQL Connectivity Library
SQLAPI++
Abstract Database Connector
Fraudly.app
StopScam.ai
Arjuna Fraud & Scam Guard
Fraud Blocker
No Scam
Fraudly helps people determine whether a website can be trusted before they shop, sign up, download, or share personal information. Traditional scam checkers often rely on blacklists or previously reported websites. While effective for known threats, they can provide limited insight into newly registered domains, fake online stores, or websites that have not yet been reported.
Instead of looking at a single reputation source, Fraudly combines dozens of trust signals into one easy-to-understand trust assessment. Every scan analyzes technical security, domain intelligence, SSL/TLS configuration, phishing indicators, malware reputation, website infrastructure, shopping characteristics, reputation data, and real-time threat intelligence. AI then helps explain these findings in clear language so users understand why a website appears trustworthyโor why caution is advised. Rather than simply displaying a "safe" or "unsafe" label, Fraudly provides transparency behind every trust score.
Key Features โข AI-powered website trust analysis โข Detect phishing websites and fake online stores โข Website Trust Score with detailed explanations โข Domain age and registration analysis โข SSL/TLS and security configuration checks โข Reputation and threat intelligence aggregation โข Shopping and retailer confidence indicators โข Malware and phishing signal detection โข Brand impersonation detection โข Multi-language support โข Browser extensions for Chrome and Microsoft Edge โข Native iOS and Android apps Fraudly is designed for everyday internet users, online shoppers who want an easy way to evaluate website trust without requiring cybersecurity expertise. Whether you're checking an unfamiliar webshop, verifying a link before clicking, or researching a newly discovered domain, Fraudly brings together multiple independent data sources and AI-assisted analysis to provide a comprehensive trust assessment in seconds.
CppDB - SQL Connectivity Library Fraudly.appNo features have been listed yet.
Fraudly.app's answer:
Fraudly doesn't rely on a single blacklist or database. It combines reputation data, security signals, reviews, domain intelligence, and scam indicators to help users identify suspicious websites quickly and confidently.
Fraudly.app's answer:
Fraudly goes beyond basic URL checks by combining reputation data, reviews, security signals, and scam indicators into one clear trust score. We focus on simplicity, transparency, and helping everyday users stay safe online.
Fraudly.app's answer:
Fraudly is built for anyone who wants to know whether a website can be trusted. Whether you're shopping online, clicking a link from an email, verifying a new website, or helping family members stay safe online, Fraudly provides a simple way to assess trust before you act.
Fraudly.app's answer:
Fraudly started with a simple observation: scam websites are becoming increasingly difficult to recognize.
Every day, people receive messages, advertisements, and links that appear legitimate at first glance. Modern scam websites often look professional, use HTTPS, display reviews, and imitate trusted brands, making it difficult for the average person to know who to trust online.
As someone who has spent years working with technology and helping others solve problems, I wanted to create a tool that makes online safety easier and more accessible. Instead of expecting users to understand complex security indicators, Fraudly brings together multiple trust signalsโsuch as reputation data, security indicators, reviews, domain information, and scam intelligenceโand presents them in a simple, easy-to-understand format.
The mission behind Fraudly is straightforward: help people make safer decisions online before they click, buy, or share personal information.
What started as a simple website checker has grown into a broader vision of improving online scam awareness through trust scoring, scam education, security insights, and tools that help both individuals and businesses stay safer online.
See it. Check it. Trust it.
Fraudly.app's answer:
Fraudly is built using a modern web and mobile technology stack designed for performance, scalability, and reliability.
Core technologies include:
Fraudly also integrates multiple external reputation, security, and scam-intelligence sources to analyze websites and provide trust and risk insights to users in real time.
Fraudly.app's answer:
Fraudly is currently focused on individual consumers and early adopters who use the platform to verify websites, online stores, and suspicious links before interacting with them.
We are also expanding into small business scam-awareness and employee education solutions, helping organizations improve their awareness of phishing, online fraud, and social engineering risks.
As an early-stage product, our focus is on building a trusted platform, listening to user feedback, and continuously improving the service rather than serving large enterprise customers.
This is not anymore a fraud check tool, it's more like a trust platform on websites, webshops and retail trust. Fraudly combines many layers of security.
SQLAPI++ - SQLAPI++ is C++ library for accessing SQL databases (Oracle, SQL Server, Sybase, DB2, InterBase, SQLBase, Informix, MySQL, Postgre, ODBC, SQLite, SQL Anywhere).
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Abstract Database Connector - Abstract Database Connector is a C/C++ library for making connections to several databases (MySQL...
Arjuna Fraud & Scam Guard - Stop mobile scams & phishing before you click.