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Light Armoured Recon is a python script designed to automate passive recon. It automates execution of TheHarvester, whois, Robtex.com, Builtwith.com, DNSrecon, metagoofil, & knockpy.
License
west-wind/LAR
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Light Armoured Recon is a python script designed to automate passive reconnaissance. It automates execution ofTheHarvester,whois,Robtex.com,Builtwith.com,DNSrecon,metagoofil, &knockpy.
- subprocess
- threading
$ git clone https://github.com/west-wind/LAR.git$ cd LAR$ ./dependency_installer.sh$ python LAR.py
Usage ofLight Armoured Recon for sending any traffic to a target without prior mutual consent is illegal. It is the end user's responsibility to obey all applicable local, state and federal laws. Developer assume no liability and are not responsible for any misuse or damage caused by this program.
This script requires the user to input the target URL(excluding www) by selecting option 1 & the output filename by selecting option 2. Make sure the filename is unique, so as not to overwrite any existing files in the directory.
To begin
$ cd LAR$ python LAR.py
Enter target URL by selecting option 1.
Enter output filename by selecting option 2. Make sure that no other file with the same name exists in the same directory, so as to avoid overwriting any existing files.
Select option 3 to proceed with recon.
Enter 'EXECUTE' to commence execution of packages.
You can customise the execution of each package by editing command specific parameters inLAR. py
For example, if you're only interested in downloadingpdf files with metagoofil, you can do so by editing the filetype parameter.
from
cmd = 'metagoofil -d ' + target + ' -t pdf,doc,xls,ppt,odp,ods,docx,xlsx,pptx -l 10 -n 1 -o metagoofil_downloads -f metagoofil_output.html'
to
cmd = 'metagoofil -d ' + target + ' -t pdf -l 10 -n 1 -o metagoofil_downloads -f metagoofil_output.html'
Python
Alex John, B. (@Praetorian_GRD)
Copyright (C) 2018 Alex John, B. This project is licensed under the GNU License - see theLICENSE.md file for details.
Joe Perry &Cybrary for the awesome ‘Python for Security Professionals’ course.