Crawllerngmyleak

Crawllerngmyleak is a tool designed to identify sensitive information on web pages and JavaScript files. It uses Selenium to navigate and capture information from pages and scripts, searching for patterns such as API keys and authentication tokens.

Features

• Sensitive Information Detection: Identifies common patterns of API keys, authentication tokens, and other sensitive data.
• JS File Support: Extracts and analyzes JavaScript files found on the page.
• Headless Mode: Runs the browser in headless mode for greater efficiency.

Prerequisites

• Python 3.x
• GeckoDriver: Required for Selenium with Firefox. Download GeckoDriver

Dependencies

Make sure you have the following dependencies installed:

• selenium
• colorama

Installation

1. Clone the repository:

    git clone https://github.com/lv4rela/Crawllerngmyleak.git
    cd Crawllerngmyleak

2. Install the required Python packages:

   pip install -r requirements.txt

Configuration

Before running the script, ensure you have changed the GeckoDriver path to your own.

def initialize_driver():
    options = Options()
    options.add_argument("--headless") 
    options.add_argument("--disable-gpu")
    options.add_argument("--no-sandbox")
    options.add_argument("--disable-dev-shm-usage")
    service = Service("/path/to/geckodriver") <---------
    return webdriver.Firefox(service=service, options=options)

You can run the script with either a single URL or a file containing a list of URLs.

Command-Line Arguments

• -u or --url: The URL of the web page to crawl.
• -f or --file: A file containing a list of URLs to crawl (one URL per line).

Example Commands

Crawling a single URL:

python crawllerngmyleak.py -u https://www.example.com

Crawling URLs from a file:

python Crawllerngmyleak.py -f urls.txt