Author Topic: Massive SQL Injection Scanner: SQLiv  (Read 250 times)

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Offline Flavio58

Massive SQL Injection Scanner: SQLiv
« Reply #1 on: June 06, 2018, 10:35:08 PM »
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This tool will give you the SQLi Vulnerable Website Just by Adding the Dork.

 

Features
multiple domain scanning with SQL injection dork by Bing, Google, or Yahoo
targetted scanning by providing specific domain (with crawling)
reverse domain scanning
 

Note: Both SQLi scanning and domain info checking are done in multiprocessing so the script is super fast at scanning many urls

 

Installation
Code: [Select]
git clone https://github.com/Hadesy2k/sqlivulscan.git
sudo python2 setup.py -i

https://github.com/the-robot/sqliv

Dependencies
bs4
termcolor
google
 

Examples
Multiple domain scanning with SQLi dork

it simply search multiple websites from given dork and scan the results one by one
python sqliv.py -d <SQLI DORK> -e <SEARCH ENGINE> 
python sqliv.py -d "inurl:index.php?id=" -e google
 

Targetted scanning

can provide only domain name or specifc url with query params
if only domain name is provided, it will crawl and get urls with query
then scan the urls one by one
Quote
python sqliv.py -t <URL> 
python sqliv.py -t www.example.com 
python sqliv.py -t www.example.com/index.php?id=1


Reverse domain and scanning

do reverse domain and look for websites that hosted on same server as target url
Code: [Select]
python sqliv.py -t <URL> -r


Quote
Help
python sqliv.py --help

usage: sqliv.py [-h] [-d D] [-e E] [-p P] [-t T] [-r]

optional arguments:
  -h, --help  show this help message and exit
  -d D        SQL injection dork
  -e E        search engine [Google only for now]
  -p P        number of websites to look for in search engine
  -t T        scan target website
  -r          reverse domain


Consulente in Informatica dal 1984

Software automazione, progettazione elettronica, computer vision, intelligenza artificiale, IoT, sicurezza informatica, tecnologie di sicurezza militare, SIGINT. 

Facebook:https://www.facebook.com/flaviobernardotti58
Twitter : https://www.twitter.com/Flavio58

Cell:  +39 366 3416556

f.bernardotti@deeplearningitalia.eu

#deeplearning #computervision #embeddedboard #iot #ai

 

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