Recon Tool: Shotlooter

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Shotlooter

Shotlooter by utkusen is a tool developed to find sensitive data inside the screenshots which are uploaded to https://prnt.sc/ (via the LightShot software) by applying OCR and image processing methods. It allows for performing image processing and web scraping tasks. It uses the libraries requests, BeautifulSoup, argparse, PIL, pytesseract, numpy, imutils, and cv2 to accomplish these tasks. This tool also uses these libraries to perform tasks such as template matching, image resizing, and web scraping. Additionally, it uses the libraries colorama and termcolor for color output and os and signal for handling system signals.

How it Works?

1. Starting from the given image id, Shotlooter iterates through images (yes, image ids are not random) and downloads them locally.
2. Converts the text inside the image by using tesseract OCR library.
3. Searches for predefined keywords on the image (private_key,smtp_pass,access key,mongodb+srv etc.)
4. Searches strings with high entropy (API keys usually have high entropy)
5. Searches small images (e.g Lastpass logo) inside the downloaded image (Template Matching) with OpenCV.
6. Saves the results to a CSV file
7. Saves images that contain sensitive data to the output folder

Installation

Shotlooter requires Python3, pip3 to work and tested on macOS and Debian based Linux systems.

Installing Dependencies for macOS: brew install tesseract

Installing Dependencies for Debian Based Linux: sudo apt install libsm6 libxext6 libxrender-dev tesseract-ocr -y

Clone the repository:

git clone https://github.com/utkusen/shotlooter.git

Go inside the folder

cd shotlooter

Install required libraries

pip3 install -r requirements.txt

Usage

Basic Usage: python3 shotlooter.py --code PRNT.SC_ID

It searches for matching keywords (located in keywords.txt), high entropy strings and credit card numbers. You can find an id by uploading an image to https://prnt.sc/ . For example python3 shotlooter.py –code sjgmm5

It will check the ids by incrementing them one by one:

sjgmm6
sjgmm7
sjgmm8
sjgmm9
sjgmma
sjgmmb
…

Image Search: python3 shotlooter.py --code sjgmm5 --imagedir IMAGE_FOLDER_PATH

It will search for the items covered in basic usage + will search for provided small images in the bigger screenshots. If you are planning to use this feature, put your small images inside the img folder.

Exclude Search: You can exclude any search type by providing related argument: –no-cc, –no-entropy, –no-keyword

For example: python3 shotlooter.py --code sjgmm5 --no-entropy. Shotlooter will skip high entropy string checking.

A Note For The False Positives

Shotlooter has high false-positive rates for high entropy string and credit card matching. Actually, they are not false positives but may not be the items that you are looking for. It detects high entropy strings to catch API keys, private keys etc. However, any non-sensitive random string will have a high entropy too and Shotlooter will detect them. The same goes for the credit card.

If you don’t want to deal with false positives, exclude entropy and credit card searches.

What You Should Expect to Find?

The creator ran Shotlooter for 2 weeks and identified 300+ images that contain various of sensitive data. You can check the findings that the creator encountered more than others below:

Postman Requests

Contains useful session IDs, access tokens etc.

Cloud API Keys (Google, AWS)

Screenshots are taken from the cloud’s console or from a desktop client

Session ID on the URL

We all know that it’s not good to pass the session ID with a GET request for different reasons. This is one of them.

Credentials on Excel Sheets

Some people love to use the Excel as a password manager.

Bitcoin Private Keys (This is Terrible)

Bitcoin wallets allow you to export your private key so that you can import it into somewhere else. But if you publish the screenshot of your private key, your whole wallet can be compromised.

Clone the repo from here: GitHub Link