Leak Separator is a simple Python tool designed to split and organize leaked credentials in the format url:login:pass. By processing keyword-specific log files, it effectively extracts relevant data, making credential management straightforward and efficient.
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
- The script prompts for a keyword to search for within the lines of
692.txt. - It scans each line and if the keyword is found, it splits the line using the specified delimiter.
- 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.
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