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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:
FreshRSS cd cli
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:
cd cli
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 Γ°ΕΈβ’Β΅ to chain multiple apis
emploleaks>
Right now, the tool supports two functionalities:
First, you must set the plugin to use, which in this case is linkedin. After, you should set your authentication tokens and the run the impersonate process:
emploleaks> use --plugin linkedin
emploleaks(linkedin)> setopt JSESSIONID
JSESSIONID:
[+] Updating value successfull
emploleaks(linkedin)> setopt li-at
li-at:
[+] Updating value successfull
emploleaks(linkedin)> show options
Module options:
Name Current Setting Required Description
---------- ----------------------------------- ---------- -----------------------------------
hide yes no hide the JSESSIONID field
JSESSIONID ************************** no active cookie session in browser #1
li-at AQEDAQ74B0YEUS-_AAABilIFFBsAAAGKdhG no active cookie session in browser #1
YG00AxGP34jz1bRrgAcxkXm9RPNeYIAXz3M
cycrQm5FB6lJ-Tezn8GGAsnl_GRpEANRdPI
lWTRJJGF9vbv5yZHKOeze_WCHoOpe4ylvET
kyCyfN58SNNH
emploleaks(linkedin)> run i mpersonate
[+] Using cookies from the browser
Setting for first time JSESSIONID
Setting for first time li_at
li_at and JSESSIONID are the authentication cookies of your LinkedIn session on the browser. You can use the Web Developer Tools to get it, just sign-in normally at LinkedIn and press right click and Inspect, those cookies will be in the Storage tab.
Now that the module is configured, you can run it and start gathering information from the company:
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:
An imortant aspect of this project is the use of the indexed COMB database, to build your version you need to download the torrent first. Be careful, because the files and the indexed version downloaded requires, at least, 400 GB of disk space available.
Once the torrent has been completelly downloaded you will get a file folder as following:
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At this point, you could import all those files with the command create_db:
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:
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:
Or you con DM at @pastacls or @gaaabifranco on Twitter.
The tool in question was created in Go and its main objective is to search for API keys in JavaScript files and HTML pages.
It works by checking the source code of web pages and script files for strings that are identical or similar to API keys. These keys are often used for authentication to online services such as third-party APIs and are confidential and should not be shared publicly.
By using this tool, developers can quickly identify if their API keys are leaking and take steps to fix the problem before they are compromised. Furthermore, the tool can be useful for security officers, who can use it to verify that applications and websites that use external APIs are adequately protecting their keys.
In summary, this tool is an efficient and accurate solution to help secure your API keys and prevent sensitive information leaks.
git clone https://github.com/MrEmpy/Mantra
cd Mantra
make
./build/mantra-amd64-linux -h
