What is Ghostbit and what does it do?

Ghostbit is a multi-format steganography toolkit designed to embed and extract hidden data within various multimedia files, including audio, images, and video, with robust cryptographic protection.

How does Ghostbit ensure the security of hidden data?

Ghostbit employs NIST/FIPS-compliant cryptography. It uses Argon2id for robust key derivation (brute-force resistance) and AES-256-GCM for authenticated encryption, ensuring data confidentiality, integrity, and authenticity.

What types of files can Ghostbit hide data in?

Ghostbit supports a wide range of audio (WAV, MP3, FLAC, M4A, AIFF), image (BMP, PNG, JPEG, WEBP, TIFF, SVG, GIF), and video formats for embedding and extracting hidden information.

Does Ghostbit support integration with LLMs or other applications?

Yes, Ghostbit provides both a Command Line Interface (CLI) and a Python API for easy integration. It also features built-in LLM integration with a secure MCP Server to facilitate AI-driven workflows.

Is Ghostbit compatible with different operating systems?

Yes, Ghostbit is built for cross-platform compatibility, ensuring seamless operation across MacOS, Linux, and Windows environments.

Ghostbit

Name: Ghostbit
Author: kariemoorman

bykariemoorman

0•

Herramientas para Desarrolladores

Ciencia de Datos y ML

Seguridad y Pruebas

Embeds and extracts hidden data across various multimedia formats with robust cryptographic protection and integrated LLM capabilities.

Ghostbit is a modern, multi-format steganography toolkit designed for securely embedding and extracting hidden information within audio, image, and video files. It represents a significant architectural and security upgrade over legacy tools, migrating from platform-dependent codebases to a unified Python solution that ensures platform independence, memory efficiency, and auditability. By pairing existing steganography protocols with modern cryptographic standards like Argon2id for key derivation and AES-256-GCM for authenticated encryption, Ghostbit ensures hidden data remains confidential, integral, and authentic, resilient against modern brute-force and tampering attacks. Furthermore, its built-in MCP Server provides standardized and secure integration with LLM-based systems, enabling advanced AI-driven workflows for information hiding.

Características Principales

01LLM integration with a secure MCP Server for AI-driven workflows

02Cross-platform compatibility across MacOS, Linux, and Windows

030 GitHub stars

04Command Line Interface (CLI) and Python API for seamless integration

05Multi-format steganography for audio, image, and video

06Strong, NIST/FIPS-compliant cryptography (Argon2id, AES-256-GCM)

Casos de Uso

01Securely hide sensitive information within common media files for covert communication.

02Integrate advanced information hiding and retrieval into AI-driven security workflows.

03Analyze and reverse-engineer steganographically encoded media for digital forensics or security audits.