This is a tool designed for Open Source Intelligence (OSINT) purposes, which helps to gather information about employees of a company.
The tool starts by searching through LinkedIn to obtain a list of employees of the company. Then, it looks for their social network profiles to find their personal email addresses. Finally, it uses those email addresses to search through a custom COMB database to retrieve leaked passwords. You an easily add yours and connect to through the tool.
To use this tool, you'll need to have Python 3.10 installed on your machine. Clone this repository to your local machine and install the required dependencies using pip in the cli folder:
pip install -r requirements.txt
We know that there is a problem when installing the tool due to the psycopg2 binary. If you run into this problem, you can solve it running:
python3 -m pip install psycopg2-binary
To use the tool, simply run the following command:
python3 cli/emploleaks.py
If everything went well during the installation, you will be able to start using EmploLeaks:
___________ .__ .__ __
\_ _____/ _____ ______ | | ____ | | ____ _____ | | __ ______
| __)_ / \____ \| | / _ \| | _/ __ \__ \ | |/ / / ___/
| \ Y Y \ |_> > |_( <_> ) |_\ ___/ / __ \| < \___ \
/_______ /__|_| / __/|____/\____/|____/\___ >____ /__|_ \/____ >
\/ \/|__| \/ \/ \/ \/
OSINT tool 🕵 to chain multiple apis
emploleaks>
Right now, the tool supports two functionalities:
- Linkedin, for searching all employees from a company and get their personal emails.
- A GitLab extension, which is capable of finding personal code repositories from the employees.
- If defined and connected, when the tool is gathering employees profiles, a search to a COMB database will be made in order to retrieve leaked passwords.
First, you must set the plugin to use, which in this case is linkedin. After, you should set your credentials and the run the login proccess:
emploleaks> use --plugin linkedin
emploleaks(linkedin)> setopt USER [email protected]
[+] Updating value successfull
emploleaks(linkedin)> setopt PASS mypass1234
[+] Updating value successfull
emploleaks(linkedin)> show options
Module options:
Name Current Setting Required Description
------ ------------------ ---------- ---------------------------
USER [email protected] yes linkedin account's username
PASS ******** yes linkedin accout's password
hide yes no hide the password field
emploleaks(linkedin)> run login
[+] Session established.
Now that the module is configured, you can run it and start gathering information from the company:
emploleaks(linkedin)> run find EvilCorp
[+] Added 25 new names.
[+] Added 22 new names.
🦄 Listing profiles:
🔑 Getting and processing contact info of "XYZ ZYX"
Contact info:
email: [email protected]
full name: XYZ XYZ
profile name: xyz-xyz
occupation: Sr XYZ
public identifier: xyz-zyx
urn: urn:li:member:67241221
We created a custom workflow, where with the information retrieved by Linkedin, we try to match employees' personal emails to potential leaked passwords. In this case, you can connect to a database (in our case we have a custom indexed COMB database) using the connect command, as it is shown below:
emploleaks(linkedin)> connect --user myuser --passwd mypass123 --dbname mydbname --host 1.2.3.4
[+] Connecting to the Leak Database...
[*] version: PostgreSQL 12.15
Once it's connected, you can run the workflow. With all the users gathered, the tool will try to search in the database if a leaked credential is affecting someone:
emploleaks(linkedin)> run_pyscript workflows/check_leaked_passwords.py EvilCorp
[-] Failing login... trying again!
[-] Failing login... trying again!
[+] Connected to the LinkedIn api successfull
The following command could take a couple of minutes, be patient
🦄 Listing profiles:
🔑 Getting and processing contact info of "XYZ ZXY"
🔑 Getting and processing contact info of "YZX XZY"
🔑 Getting and processing contact info of "ZYX ZXY"
[...]
[+] Password for "XYZ ZXY" exists
[*] Email: [email protected]
+------------------+
| passwords leaked |
+------------------+
| laFQqAOSL6t |
+------------------+
As a conclusion, the tool will generate a console output with the following information:
- A list of employees of the company (obtained from LinkedIn)
- The social network profiles associated with each employee (obtained from email address)
- A list of leaked passwords associated with each email address.
We are integrating other public sites and applications that may offer about a leaked credential. We may not be able to see the plaintext password, but it will give an insight if the user has any compromised credential:
- Integration with Have I Been Pwned?
- Integration with Firefox Monitor
- Integration with Leak Check
- Integration with BreachAlarm
Also, we will be focusing on gathering even more information from public sources of every employee. Do you have any idea in mind? Don't hesitate to reach us:
- Javi Aguinaga: [email protected]
- Gabi Franco: [email protected]
Or you con DM at @pastacls or @gaaabifranco on Twitter.
This tool is licensed under the MIT License. See the LICENSE
file for more information.