Metadata-Version: 2.4
Name: ghostmark
Version: 1.0.0
Summary: Offline CLI toolkit for image metadata, steganography, hidden data detection, and image hashing.
Author-email: Bhavika Nagdeo <bhavikanagdeo83@gmail.com>, Ranveer Kohli <bugatsec@gmail.com>
License: MIT License
        
        Copyright (c) 2025 Ghostmark
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
Project-URL: Homepage, https://github.com/cracking-bytes/Ghostmark
Project-URL: GitHub Repository, https://github.com/cracking-bytes/Ghostmark
Keywords: image,steganography,metadata,image-forensics,hashing,CLI
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: Pillow
Requires-Dist: piexif
Requires-Dist: imagehash
Requires-Dist: numpy
Requires-Dist: py7zr
Dynamic: license-file

# Ghostmark

**Ghostmark** is a command-line toolkit designed with almost all features that you require for image forensics. It can extract metadata, scrub metadata, embed or extract text from the images, detect for steganography, generate image hashes and compare them, detect for password protection.

---

## Features

- Metadata Extraction
- Metadata Scrubber
- Embedding Text
- Extracting Hidden Text
- Steganography Detection
- Generating Image Hash
- Image Hash Comparision
- Detecting Password Protection
- CLI based

---

## Run Locally

Clone the project

```bash
git clone https://github.com/cracking-bytes/Ghostmark.git
```

Go to the project directory

```bash
cd Ghostmark
```

Install dependencies

```bash
pip install -r requirements.txt
```

Run the program (CLI)

```bash
python3 src/main.py
```

## Working

| Feature                | Supporting File Types | Saving File Type      |
|------------------------|-----------------------|-----------------------|
| Metadata Extraction    |  JPG                  |                       |
| Metadata Scrubber      |  JPG                  |  JPG, PNG             |
| Embedding Text         |  JPG, PNG             |  PNG                  |
| Extracting Hidden Text |  PNG                  |                       |
| Steganography Detection|  JPG, PNG             |                       |
| Generating Image Hash  |  JPG, PNG             |                       |
| Image Hash Comparison  |  JPG, PNG             |                       |
| Detecting Password Protection |   JPG, PNG     |                       |

---

## Tech Stack

**Language Used:**
- Python 3

**Libraries Used:**
- `pillow` 
- `piexif`
- `pprint`
- `hashlib`
- `imagehash`
- `numpy`
- `os`
- `zipfile`
- `py7zr`
- `subprocess`

**Dev Tools:**

- VS Code
- Git & GitHub for version control

---

## License

[MIT](https://choosealicense.com/licenses/mit/)

---

## Authors

Bhavika Nagdeo (Cracking Bytes)  
- [GitHub](https://github.com/cracking-bytes)  
- [LinkedIn](https://in.linkedin.com/in/bhavikanagdeo)  
- [Instagram](https://www.instagram.com/cracking.bytes/)  
- [Medium](https://crackingbytes.medium.com/)

Ranveer
- [GitHub](https://github.com/Ranveerrrrr)
- [Linkedin](https://www.linkedin.com/in/ranveer-kohli-16ab76346)
- [Instagram](https://www.instagram.com/3ug_atsec)

---


## Feedback

If you have any feedback, ideas, or features to suggest, reach out at **bhavikanagdeo83@gmail.com**
