Flggd – Scam & Fraud Detector
Scan texts, links & QR codes
About
This app helps you identify potential scams and fraudulent activities by analyzing text messages, emails, links, and QR codes. It provides instant verdicts and detailed explanations to help you make informed decisions before clicking or paying.
What's New in Flggd
1.2.5
May 26, 2026
Improvement(s) - Backend infrastructure update for improved reliability and performance
In-App Purchases
$18.99
Flggd Scam-Proof Training Pack 1
Unlock deluxe set of scam fighting lessons and games
FAQ
What is Flggd?
Flggd is a free scam and fraud detection app designed to help users identify suspicious text messages, emails, links, screenshots, and QR codes before they fall victim to scams.
How does Flggd provide verdicts?
Flggd provides instant verdicts: Red means definitely a scam, Yellow means possibly a scam, Green means safe, and Grey indicates most likely a scam but lacking obvious harmful links.
Does Flggd have ads?
Yes, Flggd contains advertisements. As a free service, advertisements help support its ongoing development and community protection efforts.
How does Flggd improve over time?
Flggd utilizes crowdsourced AI, meaning each submission trains the AI to become smarter and faster at spotting scam patterns and techniques. This collective effort enhances protection for all users.
What information does Flggd capture?
Flggd captures digital fingerprints such as phone numbers, emails, links, and metadata from submissions. This data helps connect scam networks and aids investigators.
Is Flggd available on all devices?
Flggd is currently supported on iPhone, iPad, and iPod devices, indicating compatibility with Apple's iOS ecosystem.
How often is Flggd updated?
The latest version of Flggd is 1.2.5, and it was last updated on May 26, 2026. This suggests a commitment to regular updates and improvements.
What is the age rating for Flggd?
Flggd has an age rating of 4+, making it suitable for a wide range of users, including children, to learn about online safety and identify potential scams.
