dznet/dorkscanner

DORK SCANNER V2#

A typical search engine scanner that scans search engines with queries you provide to find vulnerable URLs.

Introduction

Dorking is a technique used by news organizations, investigative agencies, security auditors, and savvy criminals to query various search engines to find hidden information on public websites and vulnerabilities exposed by public servers. Dorking is a way to use search engines to their fullest capacity to penetrate web-based services to depths that may not be visible at first glance.

Requirements

pip3 install -r requirements.txt

Usage

$ python3 dorkscanner.py -h
usage: python3 dorkscanner.py [-h] [-q QUERY] [-e ENGINE] [-p PAGES] [-P PROCESSES] [-o OUTPUT] [-d DORK]

Example : python3 dorkscanner.py -e Bing -p 2 -P 1 -o test.txt -d dorks.txt

optional arguments:
  -h, --help            show this help message and exit
  -q QUERY, --query QUERY
                        Specifies the query
  -e ENGINE, --engine ENGINE
                        Specifies the search engine (Ask | Bing | WoW)
  -p PAGES, --pages PAGES
                        Specifies the pages numbers (Default: 1)
  -P PROCESSES, --processes PROCESSES
                        Specifies the number of processes (Default: 2)
  -o OUTPUT, --output OUTPUT
                        Specifies the output file name (Default: /home/balgogan/GitHub/dorkscanner/pages/pages.txt)
  -d DORK, --dork DORK  Specifies the file containing the dorks (Default: /home/balgogan/GitHub/dorkscanner/dorks/dorks.txt)
  

You can also specify arguments inside the program:

Enter the search query: 
Choose the search engine (Ask | Bing | WoW):