Selenium-based crawler used to find violations in cookie banners of IAB Europe's Transparency & Consent Framework
In the paper Do Cookie Banners Respect my Choice? Measuring Legal Compliance of Banners from IAB Europe's Transparency and Consent Framework, we show that Consent Management Providers (CMPs) of IAB Europe's Transparency & Consent Framework (TCF) do not always respect user's choice. This repository contains the code of the crawler used for this paper.
Author: Célestin Matte (Université Côte d'Azur, Inria, France)
- postgresql
- python-tldextract
- python-selenium
- python-sqlalchemy
- python-publicsuffix2
- chromium-chromedriver (ubuntu)
- psycogs2 (ubuntu)
- consent-string (nodejs package)
- wget (to download vendorlists)
- Create a postgresql database called "cookinspect", along with a "cookinspect" user and give appropriate access rights.
$ psql -c 'create database cookinspect'
$ psql cookinspect
# create role cookinspect;
# alter role cookinspect with login;
# grant connect on database cookinspect to cookinspect;
# grant all on database cookinspect to cookinspect;
- copy
cookinspect.conf.example
tocookinspect.conf
and modify it according to your database configuration.
In order to detect violations, you need to download all vendor lists from IAB. Fortunately, there is a script that does that automatically.
cd vendorlist
./download.sh
IAB produces a new vendor list every week, so you need to launch this script again if you reuse cookinspect and it crashes because the latest vendorlist is not found.
(Unnecessary if you don't decode consent strings, e.g. if you only want to detect the presence of banners) Install IAB's consent string nodejs package:
npm install --save consent-string
- You may need to add a password to your database user so that sqlalchemy lets you connect
python cookinspect.py [--full-violations-check|--automatic-violations-check|--semi-automatic-violations-check|--help]
Run it with --help for more options. By default, the script will attempt to load the website and say if it contains a TCF-related CMP.
To display results for a single website, use the --dump option.
To display statistics on all websites present in the database, use
python extract_results.py
-
Copy the list of websites in a CSV file, without www. subdomain (this will be tested automatically). See an example in examples/iab_banners.csv
-
Use run.sh:
run.sh DOMAINS_LIST_FILE OUTPUT_LOG_FILE [--semi-automatic|--full|--test-cmp]
It runs the automatic crawl by default.
This tool takes a lot of inputs from the targeted website and has not been built with security in mind. Someone reading this code COULD exploit it. Please do not run outside a safe environment, e.g. at least a separate unix user having no right on your system.
Stage: completed project (2019). TCFv2 support might be added later.
This was an experimental single-developer research project. Direction changed several times during development, so please be very tolerant with code quality.