ctf-misc-pixel-stego

Nibble extraction analyzes BMP images to recover hidden text encoded at the nibble level. This technique decodes pixel data by examining half-byte segments to reveal concealed steganographic payloads.

GIF frame analysis inspects individual frames, particularly sparse ones, to detect hidden data. It examines pixel variations across the animation sequence to uncover concealed steganographic information.

ELF embedded image extraction scans ELF binaries to locate and pull out hidden image files. It performs binary analysis on the executable structure to isolate and retrieve concealed visual data.

Discrete color encoding detection identifies images with unusual color patterns that indicate steganography. It pinpoints specific pixel color anomalies to locate where hidden data has been injected.

Oracle probing uses single-character API requests to deduce the encoding scheme of a steganographic image. It systematically tests characters to decode images when a decoding API endpoint is available.

Yes, pixel-level steganography analysis requires Pillow and struct for image processing and binary data manipulation. These dependencies handle pixel extraction and binary decoding operations.