What problem does it solve?
Hidden steganography payloads are difficult to detect and extract reliably across diverse file formats, so investigators need a structured, repeatable workflow to validate findings and recover embedded content.
Core Features & Use Cases
- Image steganography detection & extraction: Systematically analyzes PNG/BMP (LSB planes, chunk/text reservoirs, dimension/CRC inconsistencies), JPEG (EXIF and DCT-related methods via steghide/jsteg), and palette-based formats like GIF using purpose-built tooling.
- Audio steganography analysis: Uses spectrogram inspection and signal-specific decoders (e.g., DTMF/Morse/SSTV) plus WAV header/size sanity checks to reveal appended or encoded data.
- File & text steganography triage: Identifies polyglots, extracts appended/embedded data (binwalk/foremost/carving), checks NTFS alternate data streams, and extracts text payloads via whitespace, zero-width Unicode, and homoglyph heuristics.
- Use Case: For a suspected CTF challenge file, run format-appropriate checks (metadata/structure/carving/extraction) to recover the embedded secret while selecting the correct extraction path and passphrase strategy when needed.
Quick Start
Use the steganography-techniques skill to investigate a suspicious file by routing it through image/audio/file/text detection steps described in the playbook and attempting targeted extraction with the recommended tools.