OSINT for nicknames (Tookie-osint)

JJ Gallego
CyberScribers
Published in
3 min readSep 11, 2024
https://github.com/Alfredredbird/tookie-osint?tab=readme-ov-file

Tookie-osint offers an intuitive and user-friendly interface designed for simplicity and effectiveness. This tool helps users uncover usernames based on their input, similar to Sherlock, by identifying user accounts across various websites with about 80% accuracy

Installation

First download from git the tool:

git clone https://github.com/Alfredredbird/tookie-osint.git
cd tookie-osint && sudo pip3 install -r requirements.txt

Even if this is not making me very happy… from now on I will be using venv for python installations, so let’s begin with the following commands for creating and activate a virtual environment:

python3 -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt

There you have a guide for venv in case of you want to learn more about it https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/

You can also check and update pip (just in case

python3 -m pip install --upgrade pip
python3 -m pip --version

Run the program

python3 tookie-osint

Say “Y” to the first question (download headers) and not to the next one (check updates).

-h will show you the options

Running and example

For our example we will use a public figure like a youtube influencer like elrubiusOMG. First ask the program to do -f -a -s, then press intro and after that write the target nickname. -f is for fast, -a is for all and -s is to start the program

After the run you can store the results in CSV and run a report, in case you got this error:

try to instal lxml

pip install lxml

remember that due to venv now you must install the libraries in each environment

After that a new folder will be created, it is called “captured” you can “cat” or open in with other app in .txt o .csv format

More info in youtube: Find Anyone With Tookie-OSINT | Social Media OSINT |

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JJ Gallego
CyberScribers

Biologist specializing in Molecular Microbiology and cybersecurity.