Q-TIP
Abstract
Q-TIP – QR Threat Inspection Protocol is an innovative, multi-layered cybersecurity tool designed to combat the emerging threat of QR code-based phishing attacks. By combining robust QR code decoding, comprehensive static URL analysis (including redirection chain tracking, WHOIS lookups, and SSL certificate validation), and advanced visual forensics using OpenCV, Q-TIP offers a granular, data-driven assessment of phishing risks. Additionally, the tool integrates threat intelligence from a continuously updated phishing artifacts database and implements suspicious file detection by securely downloading and analyzing files with malicious extensions. Its modular, scalable design supports both single-image and batch processing, generating detailed forensic reports in TXT and HTML formats that explicitly enumerate the reasons behind each phishing verdict.
Takeaways:
- Comprehensive Analysis: Q-TIP leverages multiple layers of analysis to assess QR code threats with high accuracy.
- Robust Reporting: Detailed, actionable reports provide clear insights into the factors contributing to a phishing verdict.
- Scalable & Modular: Designed for both enterprise and research applications, with support for real-time and batch processing.
- Future-Ready: The platform is built to evolve with integrated real-time threat intelligence, machine learning enhancements, and dynamic file forensics to safeguard millions against phishing attacks.
This abstract encapsulates Q-TIP’s promise to revolutionize QR code phishing detection through technical rigor, innovative methodologies, and forward-thinking design—making it a compelling solution for Black Hat USA Arsenal 2025.