Aman-Qo Detects and Analyzes Malicious Links and QR Codes

Phishing attacks through malicious links and QR codes are rapidly increasing, targeting individuals and organizations alike. Most users cannot distinguish between safe and malicious links or QR codes, which leads to financial losses, data breaches, and compromised systems. 

Existing solutions often provide only basic scan results without user awareness, detailed analysis, or real-time protection, leaving a critical gap in prevention and education.

Aman-Qo is a cybersecurity startup offering a mobile application supported by a web-based dashboard that detects and analyzes malicious links and QR codes before users interact with them. 

The solution provides instant scan results (safe, suspicious, malicious, phishing), smart awareness messages tailored to the threat type, screenshot previews of websites without visiting them, and detailed technical reports. 

For enterprises, Aman-Qo delivers a centralized dashboard with real-time monitoring, analytics, alerts, and reporting to protect users at scale.

Individuals (B2C): Mobile users who scan QR codes or access links daily and need simple, real-time protection.  Businesses (B2B): Technology companies, banks, schools, universities, and organizations seeking to protect employees and customers from phishing attacks.  

Institutions (Future B2G): Educational and financial sectors requiring large-scale cybersecurity awareness and monitoring.

Aman-Qo is built using Flutter and Dart for the mobile application and a web-based dashboard for enterprise management. 

The platform relies on secure cloud servers, API integrations, encrypted data storage, and access control mechanisms. 

Advanced threat analysis engines and rule-based detection are currently in use, with AI-based models under development to enable zero-day attack detection and deeper link and file analysis.