Email address and corporate document harvesting

Email Harvesting
----------------

cd ~/toolz/

rm -rf theharvester-read-only/

sudo apt install -y python-pyasn1 python-pyasn1-modules
     infosecaddicts

sudo pip install requests
     infosecaddicts

git clone https://github.com/laramies/theHarvester.git

cd theHarvester/

python theHarvester.py

python theHarvester.py -d motorola.com -l 50 -b google

python theHarvester.py -d motorola.com -l 50 -b bing

python theHarvester.py -d motorola.com -l 50 -b linkedin

python theHarvester.py -d motorola.com -l 50 -b pgp





File Meta-Data Harvesting
-------------------------
cd ~/toolz/

sudo apt install -y python-pip
     infosecaddicts

sudo pip install google
     infosecaddicts

git clone https://github.com/opsdisk/metagoofil.git

cd metagoofil/


python metagoofil.py -d motorola.com -t doc,pdf -l 100 -n 3 -o motorolafiles

exiftool -r *.doc | egrep -i "Author|Creator|Email|Producer|Template" | sort -u





python metagoofil.py -d [domain name] -t doc,pdf -l 100 -n 3 -o motorolafiles
Whereas:

-d : I used another domain name aside from Google.com to make it work
-t : I asked for the program to search two types of public documents whuch are doc and pdf files
-l : I limited the search result to 100 to make the process faster
-n : I limited the downloads (files that are going to be downloaded to get their metadatas extracted) to only 3 to make the process faster
-o : I directed the result of the compilation t motorolafiles, which is a file located inside the metagoofil directory (~/toolz/metagoofil/motorolafiles)
-f : Save the html links to html_links_<TIMESTAMP>.txt file