Hello dear reader!
Welcome to my modification of CrossLinked (Can be found here: https://github.com/m8r0wn/CrossLinked ). Crosslink/L33tLinked is a LinkedIn scraping tool that utilizes both Google and Bing to grab LinkedIn profiles. Whats the use for this? Well, collecting all known employees in a comapny can be used on a red-team op for searching for employees that are involved in Data Breaches. It's simple enough to take the info you'll recieve here and run the info through the Dehashed/Have I Been Pwned API to determine if the user was affected by a data breach!
git clone https://github.com/Sq00ky/L33tLinked.git
cd LeetLinked
pip3 install -r requirements.txt
python3 leetlinked.py microsoft -e microsoft.com -f 1
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|________/ \_______/ \_______/ \___/ |________/|__/|__/ |__/|__/ \__/ \_______/ \_______/
Based off of https://github.com/m8r0wn/CrossLinked
@horshark // @Sq00ky
Email format [email protected] chosen
Scrape Complete!
python3 leetlinked.py --help
positional arguments:
company_name Target company name
optional arguments:
-h, --help show this help message and exit
-t TIMEOUT Timeout [seconds] for search threads (Default: 25)
-j JITTER Jitter for scraping evasion (Default: 0)
-s, --safe Only parse names with company in title (Reduces false positives)
-e EMAIL_DOMAIN, --email-domain EMAIL_DOMAIN
Include the email domain for email-generation (Example: microsoft.com)
-p HIBP, --hibp HIBP Runs all of the emails through HaveIBeenPwned's API and will list pwned accounts, API key is a required argument.
-f EMAIL_FORMAT, --email-format EMAIL_FORMAT
Generates emails based on various formats, 1=jsmith 2=johnsmith 3=johns 4=smithj 5=john.smith 6=smith.john 7=smith
- Implement more email formats, lastnamef, firstlast, fl, etc. (Pls create issues to request more)
- Implement HIBP API - Finished
- Implement DeHashed API - (It's going to cost a fair bit of money to do this because dehash costs $ per query...)
- Completely re-write tool so it's not based on someone elses
Modified by Ronnie Bartwitz / Ronald Bartwitz // @Horshark