Mobile App Security Testing Framework

A machine learning-based framework for detecting security vulnerabilities in mobile applications.

Overview

This framework uses deep learning to analyze mobile application security features and predict potential vulnerabilities. It provides detailed security assessments and generates comprehensive reports about various security aspects of mobile applications.

Features

• Automated vulnerability detection using machine learning
• Comprehensive security feature analysis
• Detailed security reporting
• Model training and evaluation capabilities
• Support for multiple security metrics:
  • Storage encryption
  • API security
  • Data transmission security
  • Authentication strength
  • Input validation
  • Network communication security
  • Third-party library risk assessment
  • Runtime permissions management
  • Code obfuscation
  • Certificate pinning

Requirements

• Python 3.8+
• TensorFlow 2.x
• NumPy
• Pandas
• Scikit-learn
• Matplotlib