steganography-techniques

Image steganography detection analyzes LSB encoding, PNG chunks, JPEG DCT coefficients, and EXIF metadata to extract hidden data. This skill provides a structured playbook to automate inspection and data carving workflows across these formats.

Audio steganography analysis inspects spectrograms, LSB modifications, DTMF signals, and Morse code to reveal embedded data. The playbook automates cross-tool workflows to detect and extract hidden payloads from audio artifacts.

Yes, this steganography playbook is designed for forensics, incident response, CTFs, and red-team engagements. It provides repeatable protocols to detect and extract hidden data across images, audio, files, and text.

Text steganography extraction identifies hidden messages embedded via whitespace, zero-width characters, and homoglyphs. The skill automates the detection process to reveal concealed data within text artifacts.

Yes, file steganography detection covers polyglots, appended data, and Alternate Data Streams (ADS). The playbook enables metadata inspection and data carving to extract hidden payloads from complex file structures.

The steganography playbook enables cross-tool workflows and automated extraction steps without specific external dependencies. It structures metadata inspection and data carving into a repeatable protocol for robust analysis.