Skill UI

This skill assesses Bluetooth Low Energy (BLE) device security by scanning nearby devices, enumerating GATT services, and analyzing characteristics. It detects critical vulnerabilities such as unencrypted sensitive data exposure, weak pairing configurations, and known vulnerable device fingerprints, making it essential for IoT and medical device security auditing.

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 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.

This skill guides users through building comprehensive Smart City and IoT solutions on the Azure platform. It covers the entire solution lifecycle, from initial high-level requirements and defining city domains (e.g., traffic, energy) to designing robust, scalable architectures. Outputs include detailed reference architectures, security checklists, cost strategies, and phased implementation roadmaps for enterprise deployment.

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.

A comprehensive guide detailing attack methodologies for Z-Wave smart home networks. Techniques covered include sniffing during inclusion (S0/S2), exploiting key derivation flaws, performing replay attacks on unauthenticated nodes, and crucial hub compromise (pivoting) to gain full control over the entire mesh network. Essential reading for IoT penetration testing.

A comprehensive guide on segmenting a home network using VLANs to dramatically enhance security. Learn how to isolate different device types—such as IoT gadgets, guests, and servers—from main PCs, preventing cross-segment malware spread and unauthorized communication. Covers setup steps for UniFi, pfSense, and OPNsense.