leak_separator is a basic Python-based tool designed to efficiently split and process lines of text based on given keywords. The application reads data from a specified text file (692.txt), searches for a user-defined keyword, and extracts relevant information for further analysis. This is particularly useful for organizing and managing data in the format of url:login:pass.

Key Features

• Keyword Filtering: The script allows users to find only those lines that contain specific keywords, helping to streamline data processing.
• Flexible Data Handling: Uses a customizable delimiter (default is :) to define how the data should be split, allowing for adaptations based on your needs.
• Lightweight Dependencies: Built using only Python’s standard libraries, this tool requires no additional installations, making it easy to deploy.
• Ease of Use: Clear prompts guide users through the keyword search and output processes, ensuring a hassle-free experience.

Functionality Overview

1. The script prompts for a keyword to search for within the lines of 692.txt.
2. It scans each line and if the keyword is found, it splits the line using the specified delimiter.
3. The extracted data, specifically the text following the second colon, is then saved to an output file named 692_output.txt.

Example Workflow

Input File (692.txt):

url:login:pass

Keyword Searched: login
Output File (692_output.txt):

login:pass  

This project is ideal for those needing a straightforward solution to filter and manage sensitive information efficiently. Its simplicity and adaptability make it a valuable tool for developers and data analysts alike.