Steganography

Steganography Table of Contents Installation Byte Sequence Manipulation WavSteg LSBSteg StegDetect If you are unfamiliar with steganography techniques, I have also written a basic overview of the field in Steganography: Hiding Data Inside Data. Installation This project is on PyPI and can be...

StegoScan

StegoScan Resumen StegoScan.py es una herramienta potente de última generación para la detección automatizada de esteganografía en sitios web, servidores web y directorios locales, integrando reconocimiento de objetos y texto impulsado por IA con análisis profundo de archivos. A diferencia de las...

power-tracks-research

Investigación de Power Tracks Repositorio de investigación integral para las mecánicas de mercado de "Power Tracks", "Stock Galaxy" y "Warped Prism". Este código contiene las herramientas, canalizaciones y conjuntos de validación utilizados para descubrir y mapear anomalías sistémicas en la...

visual-forensic-steganography

Visual Forensic Steganography The VFS tool allows to perform visual attacks on different digital image formats. This feature is very useful for detecting the use of certain steganographic techniques, especially LSB Least Significant Bit, and for malware analysts analyzing pieces of stegomalware...

zsteg

zsteg Descripción detecta datos ocultos por esteganografía en PNG y BMP Instalación gem install zsteg Detecta: Esteganografía LSB en PNG y BMP Datos comprimidos con zlib OpenStego Camouflage 1.2.1 LSB con el conjunto de Eratóstenes Uso zsteg -h Usage: zsteg options filename.png paramstring -a,...

ForensiX

⬡ ForensiX — Digital Forensics Intelligence Framework Created by Ameer Rasim | Version 2.0.0 ███████╗ ██████╗ ██████╗ ███████╗███╗ ██╗███████╗██╗██╗ ██╗ ██╔════╝██╔═══██╗██╔══██╗██╔════╝████╗ ██║██╔════╝██║╚██╗██╔╝ █████╗ ██║ ██║██████╔╝█████╗ ██╔██╗ ██║███████╗██║ ╚███╔╝ ██╔══╝ ██║...

On the Possible Detectability of Image-In-Image Steganography

This paper investigates the detectability of popular imagein-image steganography schemes 1, 2, 3, 4, 5. In this paradigm, the payload is usually an image of the same size as the Cover image, leading to very high embedding rates. We first show that the embedding yields a mixing process that is...

Systematically Deconstructing APVD Steganography and Its Payload with a Unified Deep Learning Paradigm

In the era of digital communication, steganography allows covert embedding of data within media files. Adaptive Pixel Value Differencing APVD is a steganographic method valued for its high embedding capacity and invisibility, posing challenges for traditional steganalysis. This paper proposes a...

Hierarchical Graph Neural Network for Compressed Speech Steganalysis

Steganalysis methods based on deep learning DL often struggle with computational complexity and challenges in generalizing across different datasets. Incorporating a graph neural network GNN into steganalysis schemes enables the leveraging of relational data for improved detection accuracy and...