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🔒 Data-hider

Data-hider is an advanced, multi-platform security and data concealment ecosystem written in Python. It allows users to securely serialize, hide, and manage sensitive files locally using a modern GUI, while providing a powerful remote administration and monitoring bot via the Bale Messenger API. It even includes an emergency "Exigent Mode" to lock system interactions when needed.

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✨ Key Features

🖥️ 1. Desktop Application (GUI)

• Secure Serialization: Reads raw binary streams of files and secures them into a dedicated .dat local repository using Python's pickle module.
• Bulk Operation (Group Hide): Concurrently hide entire directories of files automatically while preserving original file extensions in placeholders.
• Smart Retrieval: Extract individual files back to their original state or perform a Random Load filtering assets by partial string features.
• 🔒 Exigent Mode: An emergency lock protocol that expands the UI to fullscreen black, runs a background thread, and completely locks the mouse pointer to (0,0) to prevent unauthorized physical access.

🤖 2. Remote Administration Bot (Bale Bot API)

• Live System Monitoring: Request a real-time .png screenshot of the host machine sent straight to your chat room.
• Remote File Retrieval: Load files dynamically inside the host PC or pull the secured files directly through the messenger as downloadable attachments.
• Remote Shell Execution (/cmd:): Execute raw shell commands on the host OS from anywhere via remote subprocess spawning.
• Secure Access Control: Hardcoded primary gateway authentication (MRT_data / MRT_datas) to restrict administration access to authorized admins only.

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🧰 Architecture & Tech Stack

• Core Engine: Python 3.8+, pickle (Data binary serialization), os, threading, subprocess.
• Graphics UI: CustomTkinter & Tkinter (Modernized dark/light responsive styling).
• System Automation: pyautogui (Screen capture and mouse locking vectors), keyboard (Global system hotkeys interceptor).
• Remote Framework: bale library (Asynchronous event-driven wrapper for Bale bot platform).

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🚀 Installation & Setup

1. Clone the Workspace

git clone [https://github.com/mrtprogrammer1389-ctrl/Data-hider.git](https://github.com/mrtprogrammer1389-ctrl/Data-hider.git)
cd Data-hider

2. Install Infrastructure Dependencies

Make sure you install all mandatory system wrappers:

pip install customtkinter pyautogui keyboard bale

Note: On Linux, keyboard and pyautogui packages may require root privileges or additional X11 server development headers (xlib).

💻 Operational Workflows

Starting the Local Core Interface

Launch the primary Graphical Interface:

python Hider.py

• Default Security Challenge: Enter the secure master passphrase MRT_data to grant workspace access.
• Emergency Override Hotkey: While in Exigent Mode, press E + X simultaneously on your keyboard to instantly release the mouse lock and return to safety.

Launching Remote Telegram/Bale Controller

Deploy the asynchronous monitoring agent script:

python balebot.py

Once initialized, open your bot chat interface, input your master verification passphrase (MRT_datas), and issue the following directives:

Command	Action Description
/data_list	Generates a formatted summary table of all stored datasets
/data_count	Returns the absolute integer count of hidden modules
/screen_shot	Intercepts current active display and postsa media file back
/load:Name,Format	Fetches the binary object directly to your chat app client
/load_in_pc:Name,Format	Decodes the secure dataset directly onto the host storage surface
/cmd:your_command	Spawns a background OS process to run terminal instructions
/exit	/off

📂 Source Code Layout

Data-hider/
│
├── data_base.py    # Database Manager: Handles binary pickle streams, hiding, and extraction logic.
├── Hider.py        # Desktop Interface: CustomTkinter GUI dashboard and Exigent mouse-lock routines.
├── balebot.py      # Telemetry Agent: Asynchronous event handling loop processing remote chat commands.
└── data base/       # Local Sandbox: Automated subdirectory where encrypted encrypted .dat records reside.

🤝 Contributing

1. Fork the Repository
2. Branch your features (git checkout -b feature/Optimization)
3. Commit structural updates (git commit -m 'Optimized thread loops')
4. Push to the remote engine branch (git push origin feature/Optimization)
5. Open a Pull Request

📄 License

Distributed under the MIT License.

👤 Author

• Lead Engineer: Mohammad Reza Taghdiri
• GitHub Profile: @mrt-prog
• Email: mrt.programmer1389@gmail.com
• Telegram: @Mohammadhhawhd "Security is not a product, it's a structural process." 🔐