QR codes are everywhere, used for everything from restaurant menus to payment systems, but they come with a hidden risk: users cannot see where the QR code will take them before scanning. This makes them easy targets for cybercriminals, who use fake QR codes to steal personal information or spread malware. Most QR scanners offer no safety check, leaving users vulnerable to scams.

How It Would Work

One way to address this problem is by developing a mobile app that scans QR codes and immediately checks them for safety before opening any links. The app could analyze factors such as domain reputation, potential phishing attempts, and past fraudulent activity to give users a risk rating—like "Safe" or "Blocked." Users could then decide whether to proceed or avoid a suspicious link.

• Real-time AI Analysis: Checks links for spoofed domains, suspicious redirects, or malware before they open.
• User Controls & Logs: Lets users report dangerous QR codes and review past scans.
• Business Verification: Could provide a "trusted QR" certification for legitimate businesses.

Who Benefits and Why It Makes Sense

This idea would help everyday users avoid scams while maintaining the convenience of QR codes. Businesses using QR codes for payments or promotions could also benefit, as trust in their codes would increase. Developers could support the app through premium features (like detailed threat reports) or partnerships with companies that want their QR codes verified.

Getting Started

A simple first version could include basic AI-powered link checking using existing security databases (like Google Safe Browsing). From there, additional features like community reporting and business certifications could be added. The key advantage over existing QR scanners is its focus on security—rather than just opening links, it helps users avoid dangerous ones.

Unlike general-purpose QR scanners, this approach bridges a gap in digital safety, making QR codes more secure without sacrificing usability.