RiskInDroid is a quantitative risk analysis tool designed specifically for Android applications that leverages machine learning techniques to assess security risks. The tool employs classification algorithms through scikit-learn to generate a numeric risk score ranging from 0 to 100 for analyzed Android applications. This scoring system provides a standardized method for evaluating the potential security risks associated with mobile applications. RiskInDroid performs reverse engineering operations on Android applications to extract and analyze the underlying bytecode. Through this process, it identifies which permissions are actually utilized by the application versus those that are declared but unused, providing insights into the application's actual permission usage patterns. The tool's machine learning approach enables automated analysis of Android applications, making it suitable for security assessments and risk evaluation workflows in mobile application security testing environments.