Skill UI

A comprehensive toolset for digital forensics, designed to detect, extract, and analyze covert data hidden within images, audio, and video files. It utilizes advanced steganalysis techniques (LSB, DCT, frequency domain analysis) and specialized tools (StegDetect, zsteg, binwalk) to uncover hidden communications channels, making it crucial for investigations involving data exfiltration or insider threats.

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.

A comprehensive firmware and IoT penetration testing skill following OWASP FSTM. Covers firmware acquisition, static analysis, file system extraction with binwalk/unblob, automated EMBA scanning, system emulation via Firmadyne/QEMU, dynamic debugging, and binary exploitation for ARM/MIPS devices. Ideal for auditing routers, cameras, smart home devices, reproducing IoT CVEs, and discovering embedded 0-days.

This skill enables expert analysis of embedded systems and IoT firmware. It covers hardware reverse engineering, extracting file systems, identifying vulnerabilities like hardcoded credentials, and binary analysis using tools like Binwalk and Ghidra. Used for security assessments and educational purposes with strict authorization.