This is a fork of OpenWPM used in the "No boundaries: data exfiltration by third parties embedded on web pages" study, which appeared at 2020 Privacy Enhancing Technologies Symposium.

Please check the upstream repository of OpenWPM for the latest README and instructions. The instructions below are for an (now) outdated version of OpenWPM that we used in our study.

• measurement_passive_identity.py: Used to detect Login Manager misuse and Whole-DOM Scraping
• measurement_dom_chunk.py: Used to detect Whole-DOM Scraping
• measurement_dom_chunk_no_injection.py Used to detect Whole-DOM Scraping
• measurement_facebook_api.py: Used to detect Social API misuse
• sites_to_crawl.json: The list of homepage and inner page URLs crawled in the study

OpenWPM is a web privacy measurement framework which makes it easy to collect data for privacy studies on a scale of thousands to millions of site. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection, including a proxy, a Firefox extension, and access to Flash cookies. Check out the instrumentation section below for more details.

OpenWPM has been developed and tested on Ubuntu 14.04/16.04. An installation script, install.sh is included to install both the system and python dependencies automatically. A few of the python dependencies require specific versions, so you should install the dependencies in a virtual environment if you're installing a shared machine. If you plan to develop OpenWPM's instrumentation extension or run tests you will also need to install the development dependencies included in install-dev.sh.

It is likely that OpenWPM will work on platforms other than Ubuntu, however we do not officially support anything else. For pointers on alternative platform support see the wiki.

Once installed, it is very easy to run a quick test of OpenWPM. Check out demo.py for an example. This will use the default setting specified in automation/default_manager_params.json and automation/default_browser_params.json, with the exception of the changes specified in demo.py.

More information on the instrumentation and configuration parameters is given below.

The wiki provides a more in-depth tutorial, including a platform demo and a description of the additional commands available. You can also take a look at two of our past studies, which use the infrastructure:

1. The Web Never Forgets
2. Cookies that Give You Away

OpenWPM provides several instrumentation modules which can be enabled independently of each other for each crawl. With the exception of Javascript response body content, all instrumentation saves to a SQLite database specified by manager_params['database_name'] in the main output directory. Javascript bodies are saved to javascript.ldb. The SQLite schema specified by: automation/schema.sql, instrumentation may specify additional tables necessary for their measurement data (see extension tables).

• HTTP Request and Response Headers, POST request bodies
  • Set browser_params['http_instrument'] = True
  • Data is saved to the http_requests and http_responses tables.
  • OCSP POST request bodies are not recorded
  • Note: request and response headers for cached content are also saved, with the exception of images. See: Bug 634073.
• Javascript Calls
  • Records all method calls (with arguments) and property accesses for APIs of potential fingerprinting interest:
    • HTML5 Canvas
    • HTML5 WebRTC
    • HTML5 Audio
    • Plugin access (via navigator.plugins)
    • MIMEType access (via navigator.mimeTypes)
    • window.Storage, window.localStorage, window.sessionStorage, and window.name access.
    • Navigator properties (e.g. appCodeName, oscpu, userAgent, ...)
    • Window properties (via window.screen)
  • Set browser_params['js_instrument'] = True
  • Data is saved to the javascript table.
• Javascript Files
  • Saves all Javascript files encountered during the crawl to a LevelDB database de-duplicated by the md5 hash of the content.
  • Set browser_params['save_javascript'] = True
  • The content_hash column of the http_responses table contains the md5 hash for each script, and can be used to do content lookups in the LevelDB content database.
  • This instrumentation can be easily expanded to other content types.
• Flash Cookies
  • Recorded by scanning the respective Flash directories after each page visit.
  • To enable: call the CommandSequence::dump_flash_cookies command after a page visit. Note that calling this command will close the current tab before recording the cookie changes.
  • Data is saved to the flash_cookies table.
  • NOTE: Flash cookies are shared across browsers, so this instrumentation will not correctly attribute flash cookie changes if more than 1 browser is running on the machine.
• Cookie Access (Experimental -- Needs tests)
  • Set browser_params['cookie_instrument'] = True
  • Data is saved to the javascript_cookies table.
  • Will record cookies set both by Javascript and via HTTP Responses
• Content Policy Calls (Experimental -- Needs tests)
  • Set browser_params['cp_instrument'] = True
  • Data is saved to the content_policy table.
  • Provides additional information about what caused a request and what it's for
  • NOTE: This instrumentation is largely unchanged since it was ported from FourthParty, and is not linked to any other instrumentation tables.
• Cookie Access (Alternate)
  • Recorded by scanning the cookies.sqlite database in the Firefox profile directory.
  • Should contain both cookies added by Javascript and by HTTP Responses
  • To enable: call the CommandSequence::dump_profile_cookies command after a page visit. Note that calling this command will close the current tab before recording the cookie changes.
  • Data is saved to the profile_cookies table
• Log Files
  • Stored in the directory specified by manager_params['data_directory'].
  • Name specified by manager_params['log_file'].
• Browser Profile
  • Contains cookies, Flash objects, and so on that are dumped after a crawl is finished
  • Automatically saved when the platform closes or crashes by specifying browser_params['profile_archive_dir'].
  • Save on-demand with the CommandSequence::dump_profile command.
• DEPRECATED HTTP Request and Response Headers via mitmproxy
  • This will be removed in future releases
  • Set browser_params['proxy'] = True
  • Data is saved to the http_requests_proxy and http_responses_proxy tables.
  • Saves both HTTP and HTTPS request and response headers
  • Several drawbacks:
    • Cached requests and responses are missed entirely (See #71)
    • Some HTTPS connections fail with certificate warnings (See #53)
    • The mitmproxy version used (v0.13) is a few releases behind the current mitmproxy library and will likely continue to have more issues unless updated.
    • Has significantly less context available around a request/response than is available from within the browser.
• DEPRECATED Javascript Response Bodies via mitmproxy
  • This will be removed in future releases
  • Set browser_params['save_javascript_proxy'] = True
  • Saves javascript response bodies to a LevelDB database de-duplicated by the murmurhash3 of the content. content_hash in http_response_proxy keys into this content database.
  • NOTE: In addition to the other drawbacks of proxy-based measurements, content must be decoded before saving and not all current encodings are supported. In particular, brotli (br) is not supported.
• DEPRECATED HTTP Request and Response Cookies via mitmproxy
  • This will be removed in future releases
  • Derived post-crawl from proxy-based HTTP instrumentation
  • To enable: call python automation/utilities/build_cookie_table.py <sqlite_database>.
  • Data is saved to the http_request_cookies_proxy and http_response_cookies_proxy tables.
  • Several drawbacks:
    • Will not detect cookies set via Javascript, but will still record when those cookies are sent with requests.
    • Cookie parsing is done using a custom Cookie.py module. Although a significant effort went into replicating Firefox's cookie parsing, it may not be a faithful reproduction.

The browser and platform can be configured by two separate dictionaries. The platform configuration options can be set in manager_params, while the browser configuration options can be set in browser_params. The default settings are given in automation/default_manager_params.json and automation/default_browser_params.json.

To load the default configuration parameter dictionaries we provide a helper function TaskManager::load_default_params. For example:

from automation import TaskManager
manager_params, browser_params = TaskManager.load_default_params(num_browsers=5)

where manager_params is a dictionary and browser_params is a length 5 list of configuration dictionaries.

• data_directory
  • The directory in which to output the crawl database and related files. The directory given will be created if it does not exist.
• log_directory
  • The directory in which to output platform logs. The directory given will be created if it does not exist.
• log_file
  • The name of the log file to be written to log_directory.
• database_name
  • The name of the database file to be written to data_directory
• failure_limit
  • The number of successive command failures the platform will tolerate before raising a CommandExecutionError exception. Otherwise the default is set to 2 x the number of browsers plus 10.
• testing
  • A platform wide flag that can be used to only run certain functionality while testing. For example, the Javascript instrumentation exposes its instrumentation function on the page script global to allow test scripts to instrument objects on-the-fly. Depending on where you would like to add test functionality, you may need to propagate the flag.
  • This is not something you should enable during normal crawls.

Note: Instrumentation configuration options are described in the Instrumentation and Data Access section and profile configuration options are described in the Browser Profile Support section. As such, these options are left out of this section.

• disable_webdriver_self_id
  • Prevents Selenium from identifying itself in the DOM. See Issue #91.
• bot_mitigation
  • Performs some actions to prevent the platform from being detected as a bot.
  • Note, these aren't comprehensive and automated interaction with the site will still appear very bot-like.
• disable_flash
  • Flash is disabled by default. Set this to False to re-enable. Note that flash cookies are shared between browsers.
• headless
  • Launch the browser in a virtual frame buffer, no GUI will be visible.
  • Use this when running browsers on a remote machine or to run crawls in the background on a local machine.
• browser
  • Used to specify which browser to launch. Currently only firefox is supported.
  • Other browsers may be added in the future.
• tp_cookies
  • Specifies the third-party cookie policy to set in Firefox.
  • The following options are supported:
    • always: Accept all third-party cookies
    • never: Never accept any third-party cookies
    • from_visited: Only accept third-party cookies from sites that have been visited as a first party.
• donottrack
  • Set to True to enable Do Not Track in the browser.
• ghostery
  • Set to True to enable Ghostery with all blocking enabled
  • NOTE: The Ghostery version used (including filter lists) may be outdated. It's recommended that you update the xpi and store.json file (included in the extension profile directory). These can be placed here
• https-everywhere
  • Set to True to enable HTTPS Everywhere in the browser.
  • NOTE: The HTTPS Everywhere version may be outdated. It's recommended you update the xpi located here before crawling.
• adblock-plus
  • Set to True to enable AdBlock Plus in the browser.
  • The filter lists should be automatically downloaded and installed, but the xpi, located here , might be outdated.
  • NOTE: There is a known issue of AdBlock Plus not blocking all resources on the first page visit. See Issue #35 for more information.
• NOT SUPPORTED tracking-protection
  • Set to True to enable Firefox's built-in Tracking Protection.
  • NOTE: This is not currently supported. See Issue #101 for more information.

By default OpenWPM performs a "stateful" crawl, in that it keeps a consistent browser profile between page visits in the same browser. If the browser freezes or crashes during the crawl, the profile is saved to disk and restored before the next page visit.

It's also possible to run "stateless" crawls, in which each new page visit uses a fresh browser profile. To perform a stateless crawl you can restart the browser after each command sequence by setting the reset initialization argument to True when creating the command sequence. As an example:

manager = TaskManager.TaskManager(manager_params, browser_params)

for site in sites:
    command_sequence = CommandSequence.CommandSequence(site, reset=True)
    command_sequence.get(sleep=30, timeout=60)
    command_sequence.dump_profile_cookies(120)
    manager.execute_command_sequence(command_sequence)

In this example, the browser will get the requested site, sleep for 30 seconds, dump the profile cookies to the crawl database, and then restart the browser before visiting the next site in sites.

It's possible to load and save profiles during stateful crawls. Profile dumps currently consist of the following browser storage items:

• cookies
• localStorage
• IndexedDB
• browser history

Other browser state, such as the browser cache, is not saved. In Issue #62 we plan to expand profiles to include all browser storage.

A browser's profile can be saved to disk for use in later crawls. This can be done using a browser command or by setting a browser configuration parameter. For long running crawls we recommend saving the profile using the browser configuration parameter as the platform will take steps to save the profile in the event of a platform-level crash, whereas there is no guarantee the browser command will run before a crash.

Browser configuration parameter: Set the profile_archive_dir browser parameter to a directory where the browser profile should be saved. The profile will be automatically saved when TaskManager::close is called or when a platform-level crash occurs.

Browser command: See the command definition wiki page for more information.

To load a profile, specify the profile_tar browser parameter in the browser configuration dictionary. This should point to the location of the profile.tar or (profile.tar.gz if compressed) file produced by OpenWPM. The profile will be automatically extracted and loaded into the browser instance for which the configuration parameter was set.

Much of OpenWPM's instrumentation is included in a Firefox add-on SDK extension. Thus, in order to add or change instrumentation you will need a few additional dependencies, which can be installed with install-dev.sh.

The extension instrumentation is included in /automation/Extension/firefox/. Any edits within this directory will require the extension to be re-built with jpm to produce a new openwpm.xpi with your updates. For more information on developing a Firefox extension, we recommend reading this MDN introductory tutorial, as well as the jpm reference page.

Manual debugging with OpenWPM can be difficult. By design the platform runs all browsers in separate processes and swallows all exceptions (with the intent of continuing the crawl). We recommend using manual_test.py.

This utility allows manual debugging of the extension instrumentation with or without Selenium enabled, as well as makes it easy to launch a Selenium instance (without any instrumentation)

• python manual_test.py uses jpm to build the current extension directory and launch a Firefox instance with it.
• python manual_test.py --selenium launches a Firefox Selenium instance after using jpm to automatically rebuild openwpm.xpi. The script then drops into an ipython shell where the webdriver instance is available through variable driver.
• python manual_test.py --selenium --no_extension launches a Firefox Selenium instance with no instrumentation. The script then drops into an ipython shell where the webdriver instance is available through variable driver.

OpenWPM's tests are build on py.test. To run the tests you will need a few additional dependencies, which can be installed by running install-dev.sh.

Once installed, execute py.test -vv in the test directory to run all tests.

1. IOError: [Errno 2] No such file or directory: '../../firefox-bin/application.ini'

This error occurs when the platform can't find a standalone Firefox binary in the root directory of OpenWPM. The install.sh script will download and unzip the appropriate version of Firefox for you. If you've run this script but still don't have the binary installed note that the script will exit if any command fails, so re-run the install script checking that no command fails.

2. WebDriverException: Message: The browser appears to have exited before we could connect...

This error indicates that Firefox exited during startup (or was prevented from starting). There are many possible causes of this error:

• If you are seeing this error for all browser spawn attempts check that:

  • Both selenium and Firefox are the appropriate versions. Run the following commands and check that the versions output match the required versions in install.sh and requirements.txt. If not, re-run the install script.

    cd firefox-bin/
    firefox --version

    and

      pip show selenium

  • If you are running in a headless environment (e.g. a remote server), ensure that all browsers have the headless browser parameter set to True before launching.

• If you are seeing this error randomly during crawls it can be caused by an overtaxed system, either memory or CPU usage. Try lowering the number of concurrent browsers.

Note that OpenWPM is under active development, and should be considered experimental software. The repository may contain experimental features that aren't fully tested. We recommend using a tagged release.

Although OpenWPM is actively used by our group for research studies and we regularly use of the data collected, it is still possible there are unknown bugs in the infrastructure. We are in the process of writing comprehensive tests to verify the integrity of all included instrumentation. Prior to using OpenWPM for your own research we encourage you to write tests (and submit pull requests!) for any instrumentation that isn't currently included in our test scripts.

If you use OpenWPM in your research, please cite our CCS 2016 publication on the infrastructure. You can use the following BibTeX.

@inproceedings{englehardt2016census,
    author    = "Steven Englehardt and Arvind Narayanan",
    title     = "{Online tracking: A 1-million-site measurement and analysis}",
    booktitle = {Proceedings of ACM CCS 2016},
    year      = "2016",
}

As of May 2017 OpenWPM has been used in 14 studies.

OpenWPM is licensed under GNU GPLv3. Additional code has been included from FourthParty and Privacy Badger, both of which are licensed GPLv3+.