PixelGuard: Image Tampering Detection Tool 🛡️🔍

PixelGuard is a powerful Python-based tool designed to detect image tampering using SHA-256 hashing, metadata analysis, and pixel-level comparison. It helps verify the authenticity of images and identify unauthorized modifications, making it useful for digital forensics, cybersecurity, and content verification.

🔹 Verifies image integrity using cryptographic hashing
🔹 Detects changes in metadata and file properties
🔹 Performs pixel-level comparison to identify modifications

🚀 Features

✅ SHA-256 Hashing: Generates unique hashes to verify image integrity.
✅ Metadata Analysis: Extracts format, dimensions, and file size for validation.
✅ Pixel-Level Comparison: Detects subtle changes in image content.
✅ User-Friendly CLI: Simple interactive command-line interface.
✅ Supports Multiple Formats: Works with JPG, PNG, BMP, and WEBP images.

🛠️ Tech Stack

Technology	Description
🐍 Python	Programming Language
📷 Pillow	Image Processing Library
🔑 hashlib	Cryptographic Hashing
📂 OS	File Handling Utilities

📌 Prerequisites

• Python 3.x (Download: Python.org)

⚡ Installation & Usage

1️⃣ Clone the Repository

git clone https://github.com/trinetra110/PixelGuard.git
cd PixelGuard

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Application

python main.py

🎯 How to Use

When you run PixelGuard, you will see the following menu:

📌 Select an option:
1️⃣  Generate a hash for an original image
2️⃣  Compare a suspect image with a stored hash
3️⃣  Compare two images (original and suspect)
0️⃣  Exit

1️⃣ Generate a Hash for an Original Image

• Select option 1.
• Enter the filename (ensure the image is in the images/ directory).
• The tool will compute a SHA-256 hash and display it.
• Save this hash securely for future verification.

2️⃣ Compare a Suspect Image with a Stored Hash

• Select option 2.
• Enter the suspect image filename (ensure the image is in the images/ directory).
• Provide the stored hash of the original image.
• The tool will compare the hashes and detect any tampering.

3️⃣ Compare Two Images (Original vs. Suspect)

• Select option 3.
• Enter both filenames (original and suspect) (ensure the images are in the images/ directory).
• The tool performs:
  ✅ Metadata Analysis (format, dimensions, file size)
  ✅ Hash Comparison (SHA-256 integrity check)
  ✅ Pixel-Level Analysis (detects modified pixels)

🔄 Supported File Formats

PixelGuard supports the following image formats:

• JPG (.jpg, .jpeg)
• PNG (.png)
• BMP (.bmp)
• WEBP (.webp)

🏆 Why Use PixelGuard?

🔹 Ensure Image Authenticity: Detect unauthorized modifications in digital images.
🔹 Ideal for Digital Forensics: Helps cybersecurity professionals verify media integrity.
🔹 Fast & Lightweight: Works efficiently on local machines.

📜 License

This project is licensed under the MIT License.