StegoScan

StegoScan Overview StegoScan.py is a powerful, next-generation tool for automated steganography detection in websites, web servers, and local directories, integrating AI-driven object and text recognition with deep file analysis. Unlike traditional steganography detection tools that focus on a...

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...

power-tracks-research

Power Tracks Research Comprehensive research repository for "Power Tracks," "Stock Galaxy," and "Warped Prism" market mechanics. This codebase contains the tools, pipelines, and validation suites used to uncover and map systemic anomalies in modern market microstructure. Structure The research is...

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 root@kitploit: 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 root@kitploit: zsteg -h Usage: zsteg options...

ForensiX

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

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...