iot-pentest-mcp-server

This capability allows for the capture of network traffic across various IoT communication protocols such as BLE, Zigbee, and Wi-Fi. It utilizes a modular architecture that integrates with different hardware interfaces to listen and log packets in real-time, ensuring comprehensive coverage of diverse IoT environments. The system is designed to handle multiple protocols simultaneously, enabling users to analyze interactions between devices effectively.

This capability automates the process of discovering and enumerating services running on IoT devices. It leverages predefined templates and heuristics to probe devices across different protocols, systematically identifying available services and their configurations. The automation reduces manual effort and speeds up the assessment process, allowing for more thorough evaluations.

This capability allows users to perform fuzz testing on endpoints of IoT devices to identify vulnerabilities. It employs a variety of fuzzing techniques, including mutation-based and generation-based approaches, to send malformed or unexpected data to device interfaces. The results are logged for further analysis, helping to uncover potential security weaknesses in the device's handling of inputs.

This capability provides structured workflows for conducting targeted assessments on IoT devices. It guides users through a series of predefined steps, from initial discovery to detailed vulnerability analysis, ensuring that no critical areas are overlooked. The workflows are customizable, allowing security professionals to adapt them based on specific assessment goals.

This capability organizes the outputs from various capture and assessment activities into a structured format, making it easier for users to analyze results and generate reports. It categorizes data based on type, source, and relevance, ensuring that users can quickly locate and reference important information during their assessments.