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Automate sending dorked queries to search engine

Project description

DorkScan

An atypical search engine scanner that scans search engines with dorked queries returning potentially vulnerable URLs.

Installation

PyPI

pip install dorkscan

Source

If using a virtual environment pass the full directory path to where you cloned DorkScan

$git clone https://gitlab.com/unkwn1/dorkscan.git
$cd dorkscan
$pip install -e dorkscan

DorkScan Function

Scrape a search engine result page for (potentially) vulnerably sites.

def DorkScan(
    dorks: list[str],
    search_engine: str="BING",
    pages: int=1,
    console: Console=Console()
    ) -> list[ScanResults]

Usage

To view an example of the function in action run: python3 -m dorkscan

from dorkscan import DorkScan
results = DorkScan(
    search_engine: str="BING",
    pages: int=1,
    dorks: list = ["inurl:.php?", "inurl:admin.php"]
    )
print(results)

Args

Required Args

dorks: list[str] -
    a list of string dork queries ie. "inurl:.php?=","inurl:admin.php"
search_engine: str -
    Bing / Ask / Wow.

Optional Args

pages: int -
    Number of search engine result pages to scan.
silent: bool -
    Disable stdout printing
console: Console -
    [rich](https://rich.readthedocs.io/en/stable/reference/console.html) console object for printing.

Return

`list[ScanResults]` -
    list item for each page. Each page's result dictionary contains `{"dork": str, "links": list}`

Project details


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