iot-firmware

Extract firmware filesystems and scan binaries for hardcoded credentials and vulnerable functions.

Updated Jul 30, 2026
One-click install
npx skills add https://github.com/salmanabdurrahman/pi-pentest-agent --skill iot-firmware
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: iot-firmware
Source: https://github.com/salmanabdurrahman/pi-pentest-agent/tree/main/skills/iot-firmware
Command: npx skills add https://github.com/salmanabdurrahman/pi-pentest-agent --skill iot-firmware

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of auditing embedded device firmware by providing a structured, offline-first framework for identifying security vulnerabilities without risking device integrity or production connectivity.

Core Features & Use Cases

  • Filesystem Extraction: Automatically unpacks various firmware formats (SquashFS, JFFS2, etc.) to reveal the underlying directory structure and configuration.
  • Vulnerability Discovery: Scans for hardcoded credentials, cryptographic keys, and dangerous function calls in binaries to identify potential attack vectors.
  • Use Case: A security researcher needs to audit a new smart camera's firmware to ensure no default credentials or insecure API endpoints are exposed before deployment in a lab environment.

Quick Start

Use the iot-firmware skill to perform a full static analysis and filesystem extraction on the provided firmware image file.

Frequently Asked Questions about iot-firmware

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract and analyze IoT firmware images for security vulnerabilities?

IoT firmware analysis involves unpacking filesystem formats like SquashFS and JFFS2, scanning binaries for hardcoded credentials, and identifying dangerous function calls to discover security vulnerabilities in embedded devices.

What is the best way to find hardcoded credentials in embedded device firmware?

Finding hardcoded credentials in embedded device firmware requires static binary analysis and filesystem extraction to scan configuration files and binaries for exposed secrets, cryptographic keys, and default passwords.

Does static analysis work for identifying insecure web interfaces in IoT firmware?

Static analysis works for identifying insecure web interface configurations in IoT firmware by extracting the offline filesystem and scanning embedded web server files and binaries for vulnerable function calls.

Can I unpack SquashFS filesystems from IoT firmware without a live device?

You can unpack SquashFS filesystems from IoT firmware without a live device using offline filesystem extraction, allowing non-destructive security reviews and vulnerability discovery in a lab environment.

What are the limitations of offline static analysis for embedded device security?

Offline static analysis is limited to non-destructive testing and cannot evaluate live runtime behavior or production connectivity, restricting vulnerability discovery to hardcoded secrets and static configurations.