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Tool to automatically recognize cookie notices on websites.

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Cookie Notice Scanner

This tool was developed as part of a bachelor thesis to automatically recognize cookie notices on websites.

Prerequisites

  • Chromium (or Google Chrome) browser
  • Python3
  • pipenv

Install dependencies

$ pipenv install

Run

Start the browser

First, start the browser in automation mode using the debugging port 9222.

For Mac users:

$ ./run-chromium.sh

On a Linux server, create a display first and then start the browser:

$ sudo apt install xvfb
$ sudo Xvfb :10 -ac -screen 0 1400x950x24 &
$ DISPLAY=:10 ./run-chromium.sh

Afterwards, stop the display again:

$ jobs -l
$ sudo kill PID_OF_JOB

Start the scan

Then, run the script scan.py:

$ pipenv run python scan.py

Help

The script scan.py has multiple options including a help option:

$ pipenv run python scan.py --help
usage: scan.py [-h] [--dataset [DATASET]] [--start [START_RANK]]
               [--end [END_RANK]] [--results [RESULTS_DIRECTORY]] [--click]

Scans a list of domains, identifies cookie notices and evaluates them.

optional arguments:
  -h, --help            show this help message and exit
  --dataset [DATASET]   the set of domains to scan: `1` for the top 2000
                        domains, `2` for domains in file `resources/sampled-
                        domains.txt`
  --start [START_RANK]  the rank to start the scanning from, including the
                        given rank (default: 1)
  --end [END_RANK]      the rank to end the scanning at, including the given
                        rank, -1 if the dataset should be scanned to the end
                        (default: -1)
  --results [RESULTS_DIRECTORY]
                        the directory to store the the results in (default:
                        `results`)
  --click               whether links and buttons in the detected cookie
                        notices should be clicked and analyzed or not
                        (default: false)

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