SecretPixel is a cutting-edge steganography tool designed to securely conceal sensitive information within images. It stands out in the realm of digital steganography by combining advanced encryption, compression, and a seeded Least Significant Bit (LSB) technique to provide a robust solution for embedding data undetectably.

Stealthy Payload loader with Anti-EDR Capabilities

A project named "STEGANOGRAPHY TOOLS " that provide 4 types of Steganography { Image, Text, Audio, Video } that hides User's Text message in the desired cover file using the tool and can send it to the receiver who can extract the Hidden message using the same tool .

:closed_lock_with_key:ㅤA C++ program for Image Steganography

Steganography software for encrypting text into image

Compare efficiency of steganographic processes LSB,DCT and DWT

Password management through LSB image steganography.

CryptoFrame is a command-line tool engineered for the secure practice of steganography within video files.

Collection of steganography tools for images and text

Steganography (BMP, PNG, WAV, MP3, AVI, FLV)

Image-Steganography-LSB is a command-line application that enables users to perform steganography using the Least Significant Bit (LSB) algorithm on images. This technique allows you to hide sensitive information within image files in a way that is not detectable by the human eye.

‎StegX is a modern, open-source steganography toolkit designed for digital forensics experts and cybersecurity professionals. It offers fast, accurate, and stealthy methods by non-linear lsb algorithm to embed and extract hidden data within images outperforming traditional tools, detection evasion, and cross-format compatibility

Python Implementation of Pixel Value Differencing based Steganography (LSB) - PNG Cover Images

Linked Pixel Steganography (LPS) technique is a variant of the well-known LSB steganography. It can be applied to any type of images.

Implementation and Performance Analysis of LSB Steganography Algorithm. The test shows that it has excellent imperceptibility (PSNR value all above 50), and the visual observation of the embedded graph is no different from the original graph. In the case of no attack, the error rate of watermark extraction is 0%, indicating an excellent extraction effect.

Experiments with LSB steganography

An example application for blind image steganography with a GUI in C#

a digital rights management system based on DWT/LSB steganography and blockchain

covert communication by encoding data in the frequency domain of jpeg images.

A flexible steganography library supporting various file types and steganalysis

Implementation of LSB Steganography technique in Python 3. It also includes a GUI implementation.

Embedding stego-text in cover images using Least Significant Bits (LSB) technique written in C#

LSB(Least Significant Bit) method for steganography using javascript

This program encodes text in a bitmap image (.bmp). It works by using LSB steganography which is the process of modifying the least significant bit of a pixel to store part of a character.

Improvised LSB Steganography technique using Pixel Locator Sequence with AES. Implementation for paper https://ieeexplore.ieee.org/abstract/document/9478162

Console App That Uses Cryptography And Steganography To Embed/Extract Secret Message In/From an Image

This program can encrypt secret messages using a combination of RC4 and base 64 cryptographic algorithms then insert them into image files using the Least Significant Bit (LSB) method. by combining both cryptographic and steganographic methods, providing multiple security. Encryption will convert a secret message (plain text) into an unreadable random message (cipher text) then inserted into the pixel image with the steganography method (Least significant Bit) so that people do not realize in the image.

Hides arbitrary payloads in plain sight inside an image's pixel values using Least Significant Bit steganography

This is a Python module which facilitates text hiding in an image, using the LSB technique. It was made using Python 3.4.2 and the PIL image processing library. It works with JPEG and PNG formats for the cover image and always creates PNG stego image due to its lossless compression.

C Implementation of Pixel Value Differencing based Steganography (LSB) - PNG Cover Images