Metadata-Version: 2.2
Name: veilgen
Version: 1.0.0
Summary: A powerful tool for generating fake data for cybersecurity testing and development.
Home-page: https://github.com/hexa-01/Veilgen-Master
Author: hexa-01
Author-email: veilgen@proton.me
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: rich
Requires-Dist: cryptography
Requires-Dist: faker
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# **Veilgen** – Powerful Fake Data Generation  

**Veilgen** is an open-source tool for generating fake data, designed for testing, development, and privacy protection.  

---

## **Key Features**  

✔️ Generate various types of fake data:  
- Passwords  
- Email addresses  
- Usernames  
- Phone numbers  
- IP addresses  
- Credit card numbers  
- IMEI numbers  
- Complete fake identities (name, address, email, phone, etc.)  
- GPS coordinates  
- MAC addresses  
- Birthdates  
- National IDs (SSN)  
- Residential addresses  
- User agents  

✔️ Encrypt generated data using **Fernet encryption**.  
✔️ Decrypt and view encrypted data when needed.  
✔️ Interactive CLI interface using **Rich** for a better user experience.  

---

## **🛠️ Technologies Used**  

- **Python 3.7+**  
- **Faker** – Generates accurate fake data  
- **Cryptography** – Ensures secure encryption  
- **Rich** – Provides an interactive and visually appealing CLI  

---

## **💻 Supported Environments**  

✔️ Works on **Windows, Linux, and macOS**  
✔️ Lightweight and runs smoothly on any system with **Python installed**  

---

## **Installation & Usage Guide**  

### **Install Dependencies**  
Run the following command to install required libraries:  
bash
```
pip install -r requirements.txt

```

---

 How It Works

When you run Veilgen, an interactive menu will appear, allowing you to choose the type of data to generate:
````
┌──────────────────────────────────────┐
│            Choose an Option          │
├───────┬──────────────────────────────┤
│  1    │ Generate Passwords            │
│  2    │ Generate Emails               │
│  3    │ Generate Usernames            │
│  4    │ Generate Aliases              │
│  5    │ Generate Phone Numbers        │
│  6    │ Generate IPs                  │
│  7    │ Generate Credit Cards         │
│  8    │ Generate IMEI Numbers         │
│  9    │ Generate Fake Identity        │
│ 10    │ Generate User Agents          │
│ 11    │ Generate GPS Coordinates      │
│ 12    │ Generate MAC Addresses        │
│ 13    │ Generate Birthdates           │
│ 14    │ Generate National ID (SSN)    │
│ 15    │ Generate Addresses            │
│ 99    │ Decrypt and Show Data         │
│  0    │ Exit                          │
└───────┴──────────────────────────────┘
````
 Enter a number to choose an option.
 Specify how many records you want to generate.
 Data is automatically encrypted and saved as a .enc file.
 Use option 99 to decrypt and view saved data.


---

📄 Sample Output 

Password Generation
```
[
    "X7y$!Tg9kLm#",
    "aB3@pQ#2fVw!",
    "Z9!yTr4&Uv@5"
]
```
Email Generation
```
[
    "user12345@gmail.com",
    "john_doe78@protonmail.com",
    "random_user99@outlook.com"
]
```
Fake Identity Generation
````
{
    "Full Name": "John Doe",
    "Address": "1234 Elm Street, Springfield, USA",
    "Email": "john.doe42@gmail.com",
    "Phone Number": "+1-555-987-6543",
    "Birthdate": "1987-04-23",
    "IP Address": "192.168.1.100",
    "Credit Card": "4539-1234-5678-9012",
    "IMEI": "356938035643809"
}

````
---

Decrypt and View Saved Data

If you previously saved encrypted data, you can decrypt it using option 99.
It will display a list of available encrypted files:
```
Available encrypted files:
1. data_2_10.enc
2. data_9_5.enc
3. data_7_3.enc
````
Select a file, and the decrypted data will be displayed in a structured format.


---

Contribute

Veilgen is open-source, and contributions are welcome.
Feel free to submit issues, suggestions, or improvements.


---

Contact 

Email: veilgen@proton.me

Telegram: https://t.me/VeilgenS


---

Veilgen – Powerful Fake Data Generation.

