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Web Security Tools SQLIV - SQL INJECTION DORK SCANNING TOOL

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PacMan

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QUOTE:
SQLiv is a Python-based massive SQL Injection dork scanning tool that uses Google, Bing, or Yahoo for targetted scanning, multiple-domain scanning, or reverses domain scanning







SQLiv Massive SQL Injection Scanner Features

Both the SQLi scanning and domain info checking are done in a multiprocess manner so the script is super fast at scanning a lot of URLs. It’s a fairly new tool and there are plans for more features and to add support for other search engines like DuckDuckGo.


  • Multiple domain scanning with SQL injection dork by Bing, Google, or Yahoo
  • Targetted scanning by providing specific domain (with crawling)
  • Reverse domain scanning
Using SQLiv For SQL Injection Dorks Scanning

Multiple domain scanning with SQLi dork


Simply search multiple websites from given dork and scan the results one by one:


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python sqliv.py -d <SQLI DORK> -e <SEARCH ENGINE>
python sqliv.py -d "inurl:index.php?id=" -e google





Targetted scanning

You can provide just the domain name or specific URLs with query parameters. If only the domain name is provided, it will crawl and get URLs with queries then scan the URLs one by one.






python sqliv.py -t <URL> python sqliv.py -t www.example.com python sqliv.py -t www.example.com/index.php?id=1

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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

Reverse domain scans and look for websites that are hosted on the same server as the target URL.






python sqliv.py -t <URL> -r

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python sqliv.py -t <URL> -r







SQLiv Dork SQL Injection Tool Usage


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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






There is nothing else exactly like this, there are tools for information gathering via dorks like:


You can download SQLiv here:
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Last edited by a moderator:
Joined
Jun 13, 2022
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Location
INDIANA
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SQLiv - SQL Injection Dork Scanning Tool





SQLiv Massive SQL Injection Scanner Features

Both the SQLi scanning and domain info checking are done in a multiprocess manner so the script is super fast at scanning a lot of URLs. It’s a fairly new tool and there are plans for more features and to add support for other search engines like DuckDuckGo.


  • Multiple domain scanning with SQL injection dork by Bing, Google, or Yahoo
  • Targetted scanning by providing specific domain (with crawling)
  • Reverse domain scanning
Using SQLiv For SQL Injection Dorks Scanning

Multiple domain scanning with SQLi dork


Simply search multiple websites from given dork and scan the results one by one:


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python sqliv.py -d <SQLI DORK> -e <SEARCH ENGINE>
python sqliv.py -d "inurl:index.php?id=" -e google





Targetted scanning

You can provide just the domain name or specific URLs with query parameters. If only the domain name is provided, it will crawl and get URLs with queries then scan the URLs one by one.






python sqliv.py -t <URL> python sqliv.py -t www.example.com python sqliv.py -t www.example.com/index.php?id=1

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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

Reverse domain scans and look for websites that are hosted on the same server as the target URL.






python sqliv.py -t <URL> -r

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python sqliv.py -t <URL> -r







SQLiv Dork SQL Injection Tool Usage


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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






There is nothing else exactly like this, there are tools for information gathering via dorks like:


You can download SQLiv here:
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