https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation

hashlib numpy opencv3 python streamlit-webapp

Last synced: 4 days ago
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Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

• Host: GitHub
• URL: https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation
• Owner: MITHILESHK11
• Created: 2025-02-08T11:29:41.000Z (12 days ago)
• Default Branch: main
• Last Pushed: 2025-02-16T07:37:57.000Z (5 days ago)
• Last Synced: 2025-02-16T08:24:30.432Z (4 days ago)
• Topics: hashlib, numpy, opencv3, python, streamlit-webapp
• Language: Python
• Homepage: https://image-steganography.streamlit.app/
• Size: 24.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🛡️ Secure Image Steganography App

## 📌 Overview

This is a **password-protected image steganography app** built using **Streamlit** and **OpenCV**. It allows you to **hide secret messages inside images** and retrieve them only with the correct password.

## 🔐 Try it for yourself

https://image-steganography.streamlit.app/

## 🚀 Features

- **Encrypt Secret Messages** into images without visible changes.

- **Decrypt Messages Securely** using a password.

- **If the wrong password is entered, the image appears normal** (prevents detection).

- **Download Encrypted Images** after embedding messages.

## 🏗️ Technologies Used

- **Python** (Backend Logic)

- **Streamlit** (User Interface)

- **OpenCV** (Image Processing)

- **NumPy** (Efficient Data Handling)

- **Hashlib** (Password Hashing for Security)

## 📥 Installation Guide

### 🔹 1️⃣ Install Dependencies

```bash

pip install streamlit opencv-python numpy

```

### 🔹 2️⃣ Run the Application

```bash

streamlit run app.py

```

## 🛠️ Usage Guide

### **🔐 Encrypting a Message**

1. Open the app.

2. Select **Encrypt Message** from the sidebar.

3. Upload an image (`.jpg` or `.png`).

4. Enter a secret message.

5. Set an **encryption password**.

6. Click **Encrypt** to hide the message in the image.

7. Download the encrypted image.

### **🔓 Decrypting a Message**

1. Open the app.

2. Select **Decrypt Message** from the sidebar.

3. Upload the encrypted image.

4. Enter the **correct decryption password**.

5. Click **Decrypt** to reveal the hidden message.

## 🔍 How It Works

1. **Encoding Process:**

   - The message is converted into binary.

   - A **password hash** is added for authentication.

   - The binary data is hidden in the **least significant bit (LSB)** of the image.

2. **Decoding Process:**

   - Extracts binary data from the image.

   - Verifies the password before revealing the hidden message.

   - If the password is wrong, the image appears as a normal image.

## 🔐 Security Measures

- **Password Protection:** Messages can only be decrypted with the correct password.

- **Stealth Mode:** Without the correct password, the image looks normal.

- **End Marker:** Prevents over-reading of hidden data.

## 📜 License

This project is open-source.

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Enjoy Secure Messaging! 🔒