flood-scammer

This project is designed to randomly generate fake personal information specifically tailored for Malaysian residents using a class called fakedata. It serves as a demonstration of Object-Oriented Programming in Python. The generated data is primarily used to flood scammer websites by utilizing the Requests library. Key features include:

• Pick name from list of names
• Generate random Malaysian Identity Card Number
• Assign Age and Gender based on the generated IC Number
• Generate random phone number
• Generate random OTP
• Pick random bank from list and generate Account Number according to picked bank
• Pick random job type from a list

Getting Started

These instructions will get you a brief overview of how to start testing and using this.

Prerequisites

You need Python 3.x or above to use this. All the library used are installed by default with Python.

Running the tests

Import the fakedata_my.py into your main code:

import fakedata_my as fd

Creating object from the class fakedata

Create name list from the file called names_MY.txt:

#import list of names with the class namelist()
names_data = fd.namelist()
names = names_data.load("names_MY.txt")

Create the fake personal data:

#using the previous name list created
info = fd.fakedata(names)

You can print the content of info with:

print(info)

Example output:

Name: Siti Khatijah
IC: 600424737310
Age: 64
Gender: Perempuan
Phone: 0190967974
Job: Sendiri
Bank Name: AmBank Berhad
Account Number: 8884761905878
OTP: 37853

You can access and modify each of the attributes:

print(info.job)
>>> Sendiri
info.job = "new job type"
print(info.job)
>>> new job type

Or modify it by calling the function used to randomize the value:

info.job = info.random_job()
print(info.job)
>>> new job type

Here is the list of important functions:

• random_name(dict)
• random_phone(start,n)
• random_ic(n, style)
• random_otp(n)
• random_job()
• random_bank()

For more information of the function you can access it with this:

help(fakedata_my)

or

print(info.__doc__)

Authors

• Pazran - Initial work - Pazran

License

This project is licensed under the MIT License - see the LICENSE.md file for details