QR-Code-Phishing-Detector-App

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  “QR Code Phishing Detector app interface displaying scan and security results.” “ QR Code Phishing Detector with QR scanning functionality.”

Inspiration

With the rapid adoption of QR codes for payments, menus, and authentication, attackers increasingly exploit them to hide malicious URLs. Many users scan QR codes without verifying the destination. This project was inspired by the need to make QR and URL verification simple, fast, and understandable for everyone.

What I Learned,

Through building this project, I learned:

How QR-based phishing attacks work

URL risk analysis using reputation and behavior indicators

Handling multiple inputs: QR scan, QR image upload, and manual URL entry

Classifying threats into meaningful categories instead of binary results

Building a clean alert-based UI for security feedback

How the Project Works:

The application supports three ways to check a link:

Scan a QR code using the device camera

Upload a QR image from the gallery

Manually enter a URL

Once a URL is obtained, it is analyzed and classified into one of three levels:

🟢 Safe – No known threats detected

🟡 Warning – Suspicious indicators found

🔴 Danger – Malicious or phishing behavior detected

Risk Classification Logic: if (malicious > 0) return "harmful"; if (suspicious > 0) return "warning"; return "safe";

Challenges Faced:

Extracting URLs reliably from uploaded QR images

Reducing false positives while detecting suspicious links

Handling invalid or broken QR codes gracefully

Designing alerts that are clear, not alarming, but informative

Each challenge helped improve both security accuracy and user experience.

Security Insight (LaTeX Example)

Risk evaluation can be viewed as:

​Conclusion:

The QR-Code Phishing Detector App encourages users to verify before they visit. By supporting multiple input methods and clear alert levels, the app helps reduce QR-based phishing risks in everyday digital interactions.

Built With

• apis
• built-with-what-languages
• cloud-services
• databases
• frameworks
• or-other-technologies-did-you-use?-*-built-with-languages
• platforms