Skill UI

Expert in developing complete, high-performance firmware and peripheral drivers for ARM Cortex-M platforms (STM32, Teensy, nRF52). Specializes in low-level hardware interaction, including implementing drivers for I²C, SPI, UART, and managing complex concurrency patterns using FreeRTOS/Zephyr. Provides critical guidance on optimizing for determinism, cache coherency, DMA transfers, and memory barriers to ensure reliable embedded system operation.

A comprehensive guide detailing the entire workflow for analyzing embedded firmware. It covers hardware-level extraction methods (UART, JTAG, SPI dump), filesystem analysis (SquashFS, JFFS2), binary reverse engineering using tools like Ghidra, and identifying common vulnerabilities (Buffer Overflow, Command Injection). Ideal for security researchers and embedded systems engineers.

This comprehensive guide details advanced forensic techniques for detecting and analyzing sophisticated malware that operates at the system's deepest levels, such as the Master Boot Record (MBR), Volume Boot Record (VBR), and UEFI firmware. It covers boot sector disassembly, UEFI module inspection, and memory forensics (SSDT/DKOM). Use this when standard security tools fail or when investigating nation-state level compromises.

A specialized tool for detecting anomalies within DNP3 (Distributed Network Protocol 3) communications used in critical SCADA and energy sector infrastructure. It employs deep packet inspection and baseline comparison to monitor for unauthorized control commands, protocol violations, suspicious firmware update attempts, and deviations from established operational traffic patterns.

A comprehensive guide for analyzing firmware images from embedded systems, IoT devices, routers, and specialized components like UEFI/BIOS. This skill covers advanced techniques including filesystem extraction, binary reverse engineering (using Ghidra/IDA), rootkit detection, and deep forensic analysis to uncover backdoors, implants, and supply chain compromises. Essential for cybersecurity professionals investigating compromised hardware.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

A comprehensive tool designed for assessing the security posture of Programmable Logic Controller (PLC) firmware. It specializes in detecting critical vulnerabilities such as hardcoded credentials, undocumented debug interfaces, backdoor functions, and memory corruption flaws. The tool supports analyzing major industrial platforms (Siemens, Allen-Bradley) by performing static and dynamic analysis, and verifying firmware integrity against known-good baselines, adhering to standards like IEC 62443. Use only in authorized lab environments.

A comprehensive framework for advanced forensic analysis of UEFI firmware and boot process integrity. It details methods to detect firmware implants in SPI flash, audit UEFI variables (PK, KEK, DB), inspect the EFI System Partition (ESP) for unauthorized components, and analyze boot chain anomalies. Ideal for investigating advanced persistent threats (APTs) and verifying system security posture against rootkits and bootkit techniques.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.

Automates end-to-end provisioning for freshly plugged M5Stack or ESP32 boards: detect the device, flash UIFlow 2.0 firmware, and install a MicroPython app bundle. Useful for first-time setup, reflashing, app refresh, and smoke testing.

A hands-on methodology for testing IoT and embedded devices, covering hardware reconnaissance, firmware extraction and analysis, bootloader access, runtime exploitation, wireless protocol attacks, companion app review, and cloud API abuse.