Aliens_eye is an AI-powered OSINT and username reconnaissance tool that searches hundreds of websites to find publicly available profiles related to a username. It uses AI-assisted detection to improve scan accuracy and provides a confidence score for each result. You can install and use Aliens_eye in Termux to perform username reconnaissance tasks.
Features of Aliens_eye AI Osint tool:
- Search usernames across hundreds of websites.
- Perform AI-powered username reconnaissance.
- Find publicly available online profiles.
- View confidence scores for detected accounts.
- Save scan results in multiple formats.
- Perform OSINT and cybersecurity research.
Installation Commands
Follow the commands below to install Aliens_eye in Termux. Run each command in order to complete the installation.
Update Termux packages.
pkg update && pkg upgrade -y
Install the required packages.
pkg install git python -y
Clone the Aliens_eye repository.
git clone https://github.com/arxhr007/Aliens_eye
Move into the project directory.
cd Aliens_eye
Install the required Python packages.
pip install -r requirements.txt
Run Aliens_eye.
python aliens_eye.py
Aliens_eye is now installed and ready to use.
Usage Guide
After running Aliens_eye, you only need to enter a username and choose the scan options.
Enter the username you want to search.
Enter username to scan: John CenaSelect the scan level.
1. Basic
2. Intermediate
3. Advanced- Basic – Searches only the username you entered.
- Intermediate – Searches the username with additional variations.
- Advanced – Searches common prefixes, suffixes, and more username combinations.
Choose the scan profile.
1. Quick
2. Full
3. Aggressive- Quick – Faster scan with fewer retries.
- Full – Balanced scan suitable for most users.
- Aggressive – Performs deeper scanning with higher concurrency and additional browser-based checks.
Choose whether to customize the scan settings.
Customize scan settings [y/n]If you select y, you can configure these options:
- Max concurrent connections – Number of simultaneous requests.
- Request timeout – Maximum time to wait for a response.
- Retries on failure – Number of retry attempts.
- Backoff base – Initial retry delay.
- Backoff cap – Maximum retry delay.
- Min delay per domain – Delay between requests to the same website.
- Max response bytes to parse – Maximum response size to process.
- Output directory – Folder where results will be saved.
- Output formats – Save results as JSON, CSV, HTML, Markdown, or All formats.
- Enable Playwright fallback – Uses browser-based verification for uncertain results.
After the configuration is complete, Aliens_eye starts scanning the username across supported websites and displays the results in the terminal.
Understanding the Scan Results
Aliens_eye displays the scan results in a simple table like this:
Site Status HTTP Name Time
---------------------------------------------------------
disqus Found(98%) 200 John Cena 17.84sEach column provides useful information about the detected profile:
- Site – Website where the username was found.
- Status – Detection result along with the AI confidence score.
- HTTP – HTTP response status returned by the website.
- Name – Username or profile name detected.
- Time – Time taken to complete the check.
A higher confidence percentage usually indicates a stronger match for the searched username.
End Note
Aliens_eye is a useful AI-powered username reconnaissance tool that helps search for publicly available usernames across different websites. It can be installed and used directly in Termux, allowing you to perform basic OSINT tasks, view confidence scores, and save the scan results in different formats using simple terminal commands.
