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Found 7 Skills
OWASP IoT Top 10 - prevention, detection, and remediation for IoT device and ecosystem security. Use when designing or reviewing IoT devices - passwords, network services, ecosystem interfaces, secure updates, components, data transfer/storage, device management, default settings, physical hardening, privacy.
Verify witness chain integrity and detect provenance gaps
Advanced file finder with type detection and filesystem extraction for analyzing firmware and extracting embedded filesystems. Use when you need to analyze firmware files, identify file types, or extract ext2/3/4 or F2FS filesystems.
Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying OT sensors, configuring micro agents, setting up traffic mirroring, or integrating with Sentinel/SIEM, and other Azure Defender For Iot related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure External Attack Surface Management (use azure-external-attack-surface-management), Azure Sentinel (use azure-sentinel).
Firmware / IoT Penetration Chain. Starting from a .bin / .img file, complete the closed-loop process of reverse engineering → extraction → emulation → exploitation. The methodology follows the OWASP FSTM 9-stage framework; the toolchain mainly includes binwalk v3, unblob, EMBA, Firmadyne, AFL++. Applicable scenarios: Router/camera/smart home firmware auditing, firmware upgrade package reverse engineering, IoT CVE reproduction, embedded 0day vulnerability discovery. Trigger keywords: firmware, firmware, IoT, binwalk, unblob, UART, JTAG, squashfs, UBI, JFFS2, Firmadyne, QEMU full-system emulation, EMBA, firmware penetration, router firmware, embedded vulnerability exploitation, bootloader, NVRAM, FAT, firmware analysis toolkit.
IoT and embedded device security testing methodology. Covers hardware reconnaissance (UART, JTAG, SWD, SPI flash, I2C EEPROM, eMMC chip-off), firmware acquisition (vendor portals, OTA capture, flash dump, binwalk extraction), firmware analysis (filesystem mounting, binary triage, hardcoded secrets, default credential discovery), bootloader attacks (U-Boot console, secure-boot bypass, fault injection), runtime attacks on embedded Linux/RTOS (busybox CVEs, MTD writes, /dev/mem), wireless protocol attacks (Zigbee, BLE, Z-Wave, LoRaWAN, Thread/Matter, sub-GHz), MQTT/CoAP/Modbus/BACnet/OPC-UA exploitation, mobile companion app analysis, cloud-IoT API abuse, and side-channel/glitching basics. Use for IoT pentest, smart-home assessment, ICS/OT testing, or embedded vulnerability research.
LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and reconstruction of proprietary packet formats. Use for LoRaWAN deployments (smart cities, asset tracking, industrial telemetry), or any wireless device using the unlicensed 433/868/915 MHz bands (garage openers, doorbells, IoT sensors, RC equipment).