Testing Graphical User Interfaces¶

In this chapter, we explore how to generate tests for Graphical User Interfaces (GUIs), abstracting from our previous examples on Web testing. Building on general means to extract user interface elements and activate them, our techniques generalize to arbitrary graphical user interfaces, from rich Web applications to mobile apps, and systematically explore user interfaces through forms and navigation elements.

from bookutils import YouTubeVideo
YouTubeVideo('79-HRgFot4k')

Prerequisites

We build on the Web server introduced in the chapter on Web testing.

Synopsis¶

To use the code provided in this chapter, write

>>> from fuzzingbook.GUIFuzzer import <identifier>

and then make use of the following features.

This chapter demonstrates how to programmatically interact with user interfaces, using Selenium on Web browsers. It provides an experimental GUICoverageFuzzer class that automatically explores a user interface by systematically interacting with all available user interface elements.

The function start_webdriver() starts a headless Web browser in the background and returns a GUI driver as handle for further communication.

>>> gui_driver = start_webdriver()

We let the browser open the URL of the server we want to investigate (in this case, the vulnerable server from the chapter on Web fuzzing) and obtain a screenshot.

>>> gui_driver.get(httpd_url)
>>> Image(gui_driver.get_screenshot_as_png())

The GUICoverageFuzzer class explores the user interface and builds a grammar that encodes all states as well as the user interactions required to move from one state to the next. It is paired with a GUIRunner which interacts with the GUI driver.

>>> gui_fuzzer = GUICoverageFuzzer(gui_driver)
>>> gui_runner = GUIRunner(gui_driver)

The explore_all() method extracts all states and all transitions from a Web user interface.

>>> gui_fuzzer.explore_all(gui_runner)

The grammar embeds a finite state automation and is best visualized as such.

>>> fsm_diagram(gui_fuzzer.grammar)

The GUI Fuzzer fuzz() method produces sequences of interactions that follow paths through the finite state machine. Since GUICoverageFuzzer is derived from CoverageFuzzer (see the chapter on coverage-based grammar fuzzing), it automatically covers (a) as many transitions between states as well as (b) as many form elements as possible. In our case, the first set of actions explores the transition via the "order form" link; the second set then goes until the "" state.

>>> gui_driver.get(httpd_url)
>>> actions = gui_fuzzer.fuzz()
>>> print(actions)
check('terms', True)
fill('city', 'J')
fill('email', 'U@si')
fill('name', 'K')
fill('zip', '16')
submit('submit')
click('order form')
check('terms', False)
fill('city', 'c')
fill('email', 'n@H')
fill('name', 'b')
fill('zip', '9')
submit('submit')
click('order form')
check('terms', False)
fill('city', 'y')
fill('email', 'M@C')
fill('name', 'o')
fill('zip', '4')
submit('submit')

These actions can be fed into the GUI runner, which will execute them on the given GUI driver.

>>> gui_driver.get(httpd_url)
>>> result, outcome = gui_runner.run(actions)
>>> Image(gui_driver.get_screenshot_as_png())

Further invocations of fuzz() will further cover the model – for instance, exploring the terms and conditions.

Internally, GUIFuzzer and GUICoverageFuzzer use a subclass GUIGrammarMiner which implements the analysis of the GUI and all its states. Subclassing GUIGrammarMiner allows extending the interpretation of GUIs; the GUIFuzzer constructor allows passing a miner via the miner keyword parameter.

A tool like GUICoverageFuzzer will provide "deep" exploration of user interfaces, even filling out forms to explore what is behind them. Keep in mind, though, that GUICoverageFuzzer is experimental: It only supports a subset of HTML form and link features, and does not take JavaScript into account.

Automated GUI Interaction¶

In the chapter on Web testing, we have shown how to test Web-based interfaces by directly interacting with a Web server using the HTTP protocol, and processing the retrieved HTML pages to identify user interface elements. While these techniques work well for user interfaces that are based on HTML only, they fail as soon as there are interactive elements that use JavaScript to execute code within the browser, and generate and change the user interface without having to interact with the browser.

In this chapter, we therefore take a different approach to user interface testing. Rather than using HTTP and HTML as the mechanisms for interaction, we leverage a dedicated UI testing framework, which allows us to

query the program under test for available user interface elements, and
query the UI elements for how they can be interacted with.

Although we will again illustrate our approach using a Web server, the approach easily generalizes to arbitrary user interfaces. In fact, the UI testing framework we use, Selenium, also comes in variants that run for Android apps.

Our Web Server, Again¶

As in the chapter on Web testing, we run a Web server that allows us to order products.

import bookutils.setup

from typing import Set, FrozenSet, List, Optional, Tuple, Any

import os
import sys

from WebFuzzer import init_db, start_httpd, webbrowser, print_httpd_messages
from WebFuzzer import print_url, ORDERS_DB

import html

db = init_db()

This is the address of our web server:

httpd_process, httpd_url = start_httpd()
print_url(httpd_url)

Using webbrowser(), we can retrieve the HTML of the home page, and use HTML() to render it.

from IPython.display import display, Image

from bookutils import HTML, rich_output

HTML(webbrowser(httpd_url))

Remote Control with Selenium¶

Let us take a look at the GUI above. In contrast to the chapter on Web testing, we do not assume we can access the HTML source of the current page. All we assume is that there is a set of user interface elements we can interact with.

Selenium is a framework for testing Web applications by automating interaction in the browser. Selenium provides an API that allows one to launch a Web browser, query the state of the user interface, and interact with individual user interface elements. The Selenium API is available in a number of languages; we use the Selenium API for Python.

A Selenium web driver is the interface between a program and a browser controlled by the program. The following code starts a Web browser in the background, which we then control through the web driver.

from selenium import webdriver

We support both Firefox and Google Chrome.

BROWSER = 'firefox'  # Set to 'chrome' if you prefer Chrome

Setting up Firefox¶

For Firefox, you have to make sure the geckodriver program is in your path.

import shutil

if BROWSER == 'firefox':
    assert shutil.which('geckodriver') is not None, \
        "Please install the 'geckodriver' executable " \
        "from https://github.com/mozilla/geckodriver/releases"

Setting up Chrome¶

For Chrome, you may have to make sure the chromedriver program is in your path.

if BROWSER == 'chrome':
    assert shutil.which('chromedriver') is not None, \
        "Please install the 'chromedriver' executable " \
        "from https://chromedriver.chromium.org"

Running a Headless Browser¶

The browser is headless, meaning that it does not show on the screen.

HEADLESS = True

Note: If the notebook server runs locally (i.e. on the same machine on which you are seeing this), you can also set HEADLESS to False and see what happens right on the screen as you execute the notebook cells. This is very much recommended for interactive sessions.

Starting the Web driver¶

This code starts the Selenium web driver.

def start_webdriver(browser=BROWSER, headless=HEADLESS, zoom=1.4):
    # Set headless option
    if browser == 'firefox':
        options = webdriver.FirefoxOptions()
        if headless:
            # See https://www.browserstack.com/guide/firefox-headless
            options.add_argument("--headless")
    elif browser == 'chrome':
        options = webdriver.ChromeOptions()
        if headless:
            # See https://www.selenium.dev/blog/2023/headless-is-going-away/
            options.add_argument("--headless=new")
    else:
        assert False, "Select 'firefox' or 'chrome' as browser"

    # Start the browser, and obtain a _web driver_ object such that we can interact with it.
    if browser == 'firefox':
        # For firefox, set a higher resolution for our screenshots
        options.set_preference("layout.css.devPixelsPerPx", repr(zoom))
        gui_driver = webdriver.Firefox(options=options)

        # We set the window size such that it fits our order form exactly;
        # this is useful for not wasting too much space when taking screen shots.
        gui_driver.set_window_size(700, 300)

    elif browser == 'chrome':
        gui_driver = webdriver.Chrome(options=options)
        gui_driver.set_window_size(700, 210 if headless else 340)

    return gui_driver

gui_driver = start_webdriver(browser=BROWSER, headless=HEADLESS)

We can now interact with the browser programmatically. First, we have it navigate to the URL of our Web server:

gui_driver.get(httpd_url)

We see that the home page is actually accessed, together with a (failing) request to get a page icon:

print_httpd_messages()

To see what the "headless" browser displays, we can obtain a screenshot. We see that it actually displays the home page.

Image(gui_driver.get_screenshot_as_png())

Filling out Forms¶

To interact with the Web page through Selenium and the browser, we can query Selenium for individual elements. For instance, we can access the UI element whose name attribute (as defined in HTML) is "name".

from selenium.webdriver.common.by import By

name = gui_driver.find_element(By.NAME, "name")

Once we have an element, we can interact with it. Since name is a text field, we can send it a string using the send_keys() method; the string will be translated into appropriate keystrokes.

name.send_keys("Jane Doe")

In the screenshot, we can see that the name field is now filled:

Image(gui_driver.get_screenshot_as_png())

Similarly, we can fill out the email, city, and ZIP fields:

email = gui_driver.find_element(By.NAME, "email")
email.send_keys("j.doe@example.com")

city = gui_driver.find_element(By.NAME, 'city')
city.send_keys("Seattle")

zip = gui_driver.find_element(By.NAME, 'zip')
zip.send_keys("98104")

Image(gui_driver.get_screenshot_as_png())

The check box for terms and conditions is not filled out, but clicked instead using the click() method.

terms = gui_driver.find_element(By.NAME, 'terms')
terms.click()

Image(gui_driver.get_screenshot_as_png())

The form is now fully filled out. By clicking on the submit button, we can place the order:

submit = gui_driver.find_element(By.NAME, 'submit')
submit.click()

We see that the order is being processed, and that the Web browser has switched to the confirmation page.

print_httpd_messages()

Image(gui_driver.get_screenshot_as_png())

Navigating¶

Just as we fill out forms, we can also navigate through a website by clicking on links. Let us go back to the home page:

gui_driver.back()

Image(gui_driver.get_screenshot_as_png())

We can query the web driver for all elements of a particular type. Querying for HTML anchor elements (<a>) for instance, gives us all links on a page.

links = gui_driver.find_elements(By.TAG_NAME, "a")

We can query the attributes of UI elements – for instance, the URL the first anchor on the page links to:

links[0].get_attribute('href')

What happens if we click on it? Very simple: We switch to the Web page being referenced.

links[0].click()

print_httpd_messages()

Image(gui_driver.get_screenshot_as_png())

Okay. Let's get back to our home page again.

gui_driver.back()

print_httpd_messages()

Image(gui_driver.get_screenshot_as_png())

Writing Test Cases¶

The above calls, interacting with a user interface automatically, are typically used in Selenium tests – that is, code snippets that interact with a website, occasionally checking whether everything works as expected. The following code, for instance, places an order just as above. It then retrieves the title element and checks whether the title contains a "Thank you" message, indicating success.

def test_successful_order(driver, url):
    name = "Walter White"
    email = "white@jpwynne.edu"
    city = "Albuquerque"
    zip_code = "87101"

    driver.get(url)
    driver.find_element(By.NAME, "name").send_keys(name)
    driver.find_element(By.NAME, "email").send_keys(email)
    driver.find_element(By.NAME, 'city').send_keys(city)
    driver.find_element(By.NAME, 'zip').send_keys(zip_code)
    driver.find_element(By.NAME, 'terms').click()
    driver.find_element(By.NAME, 'submit').click()

    title = driver.find_element(By.ID, 'title')
    assert title is not None
    assert title.text.find("Thank you") >= 0

    confirmation = driver.find_element(By.ID, "confirmation")
    assert confirmation is not None

    assert confirmation.text.find(name) >= 0
    assert confirmation.text.find(email) >= 0
    assert confirmation.text.find(city) >= 0
    assert confirmation.text.find(zip_code) >= 0

    return True

test_successful_order(gui_driver, httpd_url)

In a similar vein, we can set up automated test cases for unsuccessful orders, canceling orders, changing orders, and many more. All these test cases would be automatically run after any change to the program code, ensuring the Web application still works.

Of course, writing such tests is quite some effort. Hence, in the remainder of this chapter, we will again explore how to automatically generate them.

Retrieving User Interface Actions¶

To automatically interact with a user interface, we first need to find out which elements there are, and which user interactions (or short actions) they support.

User Interface Elements¶

We start with finding available user elements. Let us get back to the order form.

gui_driver.get(httpd_url)

Image(gui_driver.get_screenshot_as_png())

Using find_elements(By.TAG_NAME, ) (and other similar find_elements_...() functions), we can retrieve all elements of a particular type, such as HTML input elements.

ui_elements = gui_driver.find_elements(By.TAG_NAME, "input")

For each element, we can retrieve its HTML attributes, using get_attribute(). We can thus retrieve the name and type of each input element (if defined).

for element in ui_elements:
    print("Name: %-10s | Type: %-10s | Text: %s" %
          (element.get_attribute('name'),
           element.get_attribute('type'),
           element.text))

ui_elements = gui_driver.find_elements(By.TAG_NAME, "a")

for element in ui_elements:
    print("Name: %-10s | Type: %-10s | Text: %s" %
          (element.get_attribute('name'),
           element.get_attribute('type'),
           element.text))

User Interface Actions¶

Similarly to what we did in the chapter on Web fuzzing, our idea is now to mine a grammar for the user interface – first for an individual user interface page (i.e., a single Web page), later for all pages offered by the application. The idea is that a grammar defines legal sequences of actions – clicks and keystrokes – that can be applied on the application.

We assume the following actions:

fill(<name>, <text>) – fill the UI input element named <name> with the text <text>.
check(<name>, <value>) – set the UI checkbox <name> to the given value <value> (True or False)
submit(<name>) – submit the form by clicking on the UI element <name>.
click(<name>) – click on the UI element <name>, typically for following a link.

This sequence of actions, for instance would fill out the order form:

fill('name', "Walter White")
fill('email', "white@jpwynne.edu")
fill('city', "Albuquerque")
fill('zip', "87101")
check('terms', True)
submit('submit')

Our set of actions is deliberately defined to be small – for real user interfaces, one would also have to define interactions such as swipes, double clicks, long clicks, right button clicks, modifier keys, and more. Selenium supports all of this; but in the interest of simplicity, we focus on the most important set of interactions.

Retrieving Actions¶

As a first step in mining an action grammar, we need to be able to retrieve possible interactions. We introduce a class GUIGrammarMiner, which is set to do precisely that.

class GUIGrammarMiner:
    """Retrieve a grammar of possible GUI interaction sequences"""

    def __init__(self, driver, stay_on_host: bool = True) -> None:
        """Constructor.
        `driver` - a web driver as produced by Selenium.
        `stay_on_host` - if True (default), no not follow links to other hosts.
        """
        self.driver = driver
        self.stay_on_host = stay_on_host
        self.grammar: Grammar = {}

Our first task is to obtain the set of possible interactions. Given a single UI page, the method mine_input_actions() of GUIGrammarMiner returns a set of actions as defined above. It first gets all input elements, followed by button elements, finally followed by links (a elements), and merges them into a set. (We use a frozenset here since we want to use the set as an index later.)

class GUIGrammarMiner(GUIGrammarMiner):
    def mine_state_actions(self) -> FrozenSet[str]:
        """Return a set of all possible actions on the current Web site.
        Can be overloaded in subclasses."""
        return frozenset(self.mine_input_element_actions()
                         | self.mine_button_element_actions()
                         | self.mine_a_element_actions())

    def mine_input_element_actions(self) -> Set[str]:
        return set()  # to be defined later

    def mine_button_element_actions(self) -> Set[str]:
        return set()  # to be defined later

    def mine_a_element_actions(self) -> Set[str]:
        return set()  # to be defined later

Input Element Actions¶

Mining input actions goes through the set of input elements, and returns an action depending on the input type. If the input field is a text, for instance, the associated action is fill(); for checkboxes, the action is check().

The respective values are placeholders depending on the type; if the input field is a number, for instance, the value becomes <number>. As these actions later become part of the grammar, they will be expanded into actual values during grammar expansion.

from selenium.common.exceptions import StaleElementReferenceException

class GUIGrammarMiner(GUIGrammarMiner):
    def mine_input_element_actions(self) -> Set[str]:
        """Determine all input actions on the current Web page"""

        actions = set()

        for elem in self.driver.find_elements(By.TAG_NAME, "input"):
            try:
                input_type = elem.get_attribute("type")
                input_name = elem.get_attribute("name")
                if input_name is None:
                    input_name = elem.text

                if input_type in ["checkbox", "radio"]:
                    actions.add("check('%s', <boolean>)" % html.escape(input_name))
                elif input_type in ["text", "number", "email", "password"]:
                    actions.add("fill('%s', '<%s>')" % (html.escape(input_name), html.escape(input_type)))
                elif input_type in ["button", "submit"]:
                    actions.add("submit('%s')" % html.escape(input_name))
                elif input_type in ["hidden"]:
                    pass
                else:
                    # TODO: Handle more types here
                    actions.add("fill('%s', <%s>)" % (html.escape(input_name), html.escape(input_type)))
            except StaleElementReferenceException:
                pass

        return actions

Applied on our order form, we see that the method gets us all input actions:

gui_grammar_miner = GUIGrammarMiner(gui_driver)
gui_grammar_miner.mine_input_element_actions()

Button Element Actions¶

Mining buttons works similarly:

class GUIGrammarMiner(GUIGrammarMiner):
    def mine_button_element_actions(self) -> Set[str]:
        """Determine all button actions on the current Web page"""

        actions = set()

        for elem in self.driver.find_elements(By.TAG_NAME, "button"):
            try:
                button_type = elem.get_attribute("type")
                button_name = elem.get_attribute("name")
                if button_name is None:
                    button_name = elem.text
                if button_type == "submit":
                    actions.add("submit('%s')" % html.escape(button_name))
                elif button_type != "reset":
                    actions.add("click('%s')" % html.escape(button_name))
            except StaleElementReferenceException:
                pass

        return actions

Our order form has no button elements. (The submit button is an input element, and was handled above).

gui_grammar_miner = GUIGrammarMiner(gui_driver)
gui_grammar_miner.mine_button_element_actions()

Link Element Actions¶

When following links, we need to make sure that we stay on the current host – we want to explore a single website only, not all the Internet. To this end, we check the href attribute of the link to check whether it still points to the same host. If it does not, we give it a special action ignore(), which, as the name suggests, will later be ignored as it comes to executing these actions. We still return an action, though, as we use the set of actions to characterize a state in the application.

from urllib.parse import urljoin, urlsplit

class GUIGrammarMiner(GUIGrammarMiner):
    def mine_a_element_actions(self) -> Set[str]:
        """Determine all link actions on the current Web page"""

        actions = set()

        for elem in self.driver.find_elements(By.TAG_NAME, "a"):
            try:
                a_href = elem.get_attribute("href")
                if a_href is not None:
                    if self.follow_link(a_href):
                        actions.add("click('%s')" % html.escape(elem.text))
                    else:
                        actions.add("ignore('%s')" % html.escape(elem.text))
            except StaleElementReferenceException:
                pass

        return actions

To check whether we can follow a link, the method follow_link() checks the URL:

class GUIGrammarMiner(GUIGrammarMiner):
    def follow_link(self, link: str) -> bool:
        """Return True iff we are allowed to follow the `link` URL"""

        if not self.stay_on_host:
            return True

        current_url = self.driver.current_url
        target_url = urljoin(current_url, link)
        return urlsplit(current_url).hostname == urlsplit(target_url).hostname

In our application, we would not be allowed to follow a link to foo.bar:

gui_grammar_miner = GUIGrammarMiner(gui_driver)

gui_grammar_miner.follow_link("ftp://foo.bar/")

Following a link to localhost, though, works well:

gui_grammar_miner.follow_link("https://127.0.0.1/")

When adapting this for other user interfaces, similar measures would be taken to ensure we stay in the same application.

Running this method on our page gets us the set of links:

gui_grammar_miner = GUIGrammarMiner(gui_driver)
gui_grammar_miner.mine_a_element_actions()

Let us show GUIGrammarMiner in action, using its mine_state_actions() method to retrieve all elements from our current page. We see that we obtain input element actions, button element actions, and link element actions.

gui_grammar_miner = GUIGrammarMiner(gui_driver)
gui_grammar_miner.mine_state_actions()

We assume that we can identify a user interface state from the set of interactive elements it contains – that is, the current Web page is identified by the set above. This is in contrast to Web fuzzing, where we assumed the URL to uniquely characterize a page – but with JavaScript, the URL can stay unchanged although the page contents change, and UIs other than the Web may have no concept of unique URLs. Therefore, we say that the way a UI can be interacted with uniquely defines its state.

Models for User Interfaces¶

User Interfaces as Finite State Machines¶

Now that we can retrieve UI elements from a page, let us go and systematically explore a user interface. The idea is to represent the user interface as a finite state machine – that is, a sequence of states that can be reached by interacting with the individual user interface elements.

Let us illustrate such a finite state machine by looking at our Web server. The following diagram shows the states our server can be in:

Initially, we are in the <Order Form> state. From here, we can click on Terms and Conditions, and we'll be in the Terms and Conditions state, showing the page with the same title. We can also fill out the form and place the order, having us end in the Thank You state (again showing the page with the same title). From both <Terms and Conditions> and <Thank You>, we can return to the order form by clicking on the order form link.

State Machines as Grammars¶

To systematically explore a user interface, we must retrieve its finite state machine, and eventually cover all states and transitions. In the presence of forms, such an exploration is difficult, as we need a special mechanism to fill out forms and submit the values to get to the next state. There is a trick, though, which allows us to have a single representation for both states and (form) values. We can embed the finite state machine into a grammar, which is then used for both states and form values.

To embed a finite state machine into a grammar, we proceed as follows:

Every state $\langle s \rangle$ in the finite state machine becomes a symbol $\langle s \rangle$ in the grammar.
Every transition in the finite state machine from $\langle s \rangle$ to $\langle t \rangle$ and actions $a_1, a_2, \dots$ becomes an alternative of $\langle s \rangle$ in the form $a_1, a_2, dots$ $\langle t \rangle$ in the grammar.

The above finite state machine thus gets encoded into the grammar

<start> ::= <Order Form>
<Order Form> ::= click('Terms and Conditions') <Terms and Conditions> | 
                 fill(...) submit('submit') <Thank You>
<Terms and Conditions> ::= click('order form') <Order Form>
<Thank You> ::= click('order form') <Order Form>

Expanding this grammar gets us a stream of actions, navigating through the user interface:

fill(...) submit('submit') click('order form') click('Terms and Conditions') click('order form') ...

This stream is actually infinite (as one can interact with the UI forever); to have it end, one can introduce an alternative <end> that simply expands to the empty string, without having any expansion (state) follow.

Retrieving State Grammars¶

Let us extend GUIGrammarMiner such that it retrieves a grammar from the user interface in its current state.

We first define a constant GUI_GRAMMAR that serves as template for all sorts of input types. We will use this to fill out forms.

\todo{}: Have a common base class GrammarMiner with __init__() and mine_grammar()

from Grammars import new_symbol

from Grammars import nonterminals, START_SYMBOL
from Grammars import extend_grammar, unreachable_nonterminals, crange, srange
from Grammars import syntax_diagram, is_valid_grammar, Grammar

class GUIGrammarMiner(GUIGrammarMiner):
    START_STATE = "<state>"
    UNEXPLORED_STATE = "<unexplored>"
    FINAL_STATE = "<end>"

    GUI_GRAMMAR: Grammar = ({
        START_SYMBOL: [START_STATE],
        UNEXPLORED_STATE: [""],
        FINAL_STATE: [""],

        "<text>": ["<string>"],
        "<string>": ["<character>", "<string><character>"],
        "<character>": ["<letter>", "<digit>", "<special>"],
        "<letter>": crange('a', 'z') + crange('A', 'Z'),

        "<number>": ["<digits>"],
        "<digits>": ["<digit>", "<digits><digit>"],
        "<digit>": crange('0', '9'),

        "<special>": srange(". !"),

        "<email>": ["<letters>@<letters>"],
        "<letters>": ["<letter>", "<letters><letter>"],

        "<boolean>": ["True", "False"],

        # Use a fixed password in case we need to repeat it
        "<password>": ["abcABC.123"],

        "<hidden>": ["<string>"],
    })

syntax_diagram(GUIGrammarMiner.GUI_GRAMMAR)

The method mine_state_grammar() goes through the actions mined from the page (using mine_state_actions()) and creates a grammar for the current state. For each click() and submit() action, it assumes a new state follows, and introduces an appropriate state symbol into the grammar – a state symbol that now will be marked as <unexplored>, but will be expanded later as the appropriate state is seen.

class GUIGrammarMiner(GUIGrammarMiner):
    def new_state_symbol(self, grammar: Grammar) -> str:
        """Return a new symbol for some state in `grammar`"""
        return new_symbol(grammar, self.START_STATE)

    def mine_state_grammar(self, grammar: Grammar = {},
                           state_symbol: Optional[str] = None) -> Grammar:
        """Return a state grammar for the actions on the current Web site.
        Can be overloaded in subclasses."""

        grammar = extend_grammar(self.GUI_GRAMMAR, grammar)

        if state_symbol is None:
            state_symbol = self.new_state_symbol(grammar)
            grammar[state_symbol] = []

        alternatives = []
        form = ""
        submit = None

        for action in self.mine_state_actions():
            if action.startswith("submit"):
                submit = action

            elif action.startswith("click"):
                link_target = self.new_state_symbol(grammar)
                grammar[link_target] = [self.UNEXPLORED_STATE]
                alternatives.append(action + '\n' + link_target)

            elif action.startswith("ignore"):
                pass

            else:  # fill(), check() actions
                if len(form) > 0:
                    form += '\n'
                form += action

        if submit is not None:
            if len(form) > 0:
                form += '\n'
            form += submit

        if len(form) > 0:
            form_target = self.new_state_symbol(grammar)
            grammar[form_target] = [self.UNEXPLORED_STATE]
            alternatives.append(form + '\n' + form_target)

        alternatives += [self.FINAL_STATE]

        grammar[state_symbol] = alternatives

        # Remove unused parts
        for nonterminal in unreachable_nonterminals(grammar):
            del grammar[nonterminal]

        assert is_valid_grammar(grammar)

        return grammar

To better see the state structure, the function fsm_diagram() shows the resulting state grammar as a finite state machine. (This assumes that the grammar actually encodes a state machine.)

from collections import deque

from bookutils import unicode_escape

def fsm_diagram(grammar: Grammar, start_symbol: str = START_SYMBOL) -> Any:
    """Produce a FSM diagram for the state grammar `grammar`.
    `start_symbol` - the start symbol (default: START_SYMBOL)"""

    from graphviz import Digraph
    from IPython.display import display

    def left_align(label: str) -> str:
        """Render `label` as left-aligned in dot"""
        return dot_escape(label.replace('\n', r'\l')).replace(r'\\l', '\\l')

    dot = Digraph(comment="Grammar as Finite State Machine")

    symbols = deque([start_symbol])
    symbols_seen = set()

    while len(symbols) > 0:
        symbol = symbols.popleft()
        symbols_seen.add(symbol)
        dot.node(symbol, dot_escape(unicode_escape(symbol)))

        for expansion in grammar[symbol]:
            assert type(expansion) == str  # no opts() here

            nts = nonterminals(expansion)
            if len(nts) > 0:
                target_symbol = nts[-1]
                if target_symbol not in symbols_seen:
                    symbols.append(target_symbol)

                label = expansion.replace(target_symbol, '')
                dot.edge(symbol, target_symbol, left_align(unicode_escape(label)))

    return display(dot)

Let us show GUIGrammarMiner() in action. Its method mine_state_grammar() extracts the grammar for the current Web page:

gui_grammar_miner = GUIGrammarMiner(gui_driver)
state_grammar = gui_grammar_miner.mine_state_grammar()

state_grammar

To better see the structure of the state grammar, we can visualize it as a state machine. We see that it nicely reflects what we can see from our Web server's home page:

fsm_diagram(state_grammar)

From the start state (<state>), we can go and either click on "terms and conditions", ending in <state-1>, or fill out the form, ending in <state-2>.

state_grammar[GUIGrammarMiner.START_STATE]

Both these states are yet unexplored:

state_grammar['<state-1>']

state_grammar['<state-2>']

state_grammar['<unexplored>']

Given the grammar, we can use any of our grammar fuzzers to create valid input sequences:

from GrammarFuzzer import GrammarFuzzer

gui_fuzzer = GrammarFuzzer(state_grammar)
while True:
    action = gui_fuzzer.fuzz()
    if action.find('submit(') > 0:
        break
print(action)

These actions, however, must also be executed such that we can explore the user interface. This is what we do in the next section.

Executing User Interface Actions¶

To execute actions, we introduce a Runner class, conveniently named GUIRunner. Its run() method executes the actions as given in an action string.

from Fuzzer import Runner

class GUIRunner(Runner):
    """Execute the actions in a given action string"""

    def __init__(self, driver) -> None:
        """Constructor. `driver` is a Selenium Web driver"""
        self.driver = driver

The way we implement run() is fairly simple: We introduce four methods named fill(), check(), submit() and click(), and run exec() on the action string to have the Python interpreter invoke these methods.

Running exec() on third-party input is dangerous, as the names of UI elements may contain valid Python code. We restrict access to the four functions defined above, and also set __builtins__ to the empty dictionary such that built-in Python functions are not available during exec(). This will prevent accidents, but as we will see in the chapter on information flow, it is still possible to inject Python code. To prevent such injection attacks, we use html.escape() to quote angle and quote characters in all third-party strings.

class GUIRunner(GUIRunner):
    def run(self, inp: str) -> Tuple[str, str]:
        """Execute the action string `inp` on the current Web site.
        Return a pair (`inp`, `outcome`)."""

        def fill(name, value):
            self.do_fill(html.unescape(name), html.unescape(value))

        def check(name, state):
            self.do_check(html.unescape(name), state)

        def submit(name):
            self.do_submit(html.unescape(name))

        def click(name):
            self.do_click(html.unescape(name))

        exec(inp, {'__builtins__': {}},
                  {
                      'fill': fill,
                      'check': check,
                      'submit': submit,
                      'click': click,
                  })

        return inp, self.PASS

To identify elements in an action, we first search them by their name, and then by the displayed link text.

from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import ElementClickInterceptedException, ElementNotInteractableException

class GUIRunner(GUIRunner):
    def find_element(self, name: str) -> Any:
        """Search for an element named `name` on the current Web site.
        Matches can occur by name or by link text."""

        try:
            return self.driver.find_element(By.NAME, name)
        except NoSuchElementException:
            return self.driver.find_element(By.LINK_TEXT, name)

The implementations of the actions simply defer to the appropriate Selenium methods, introducing explicit delays such that the page can reload and refresh.

from selenium.webdriver.support.ui import WebDriverWait

class GUIRunner(GUIRunner):
    # Delays (in seconds)
    DELAY_AFTER_FILL = 0.1
    DELAY_AFTER_CHECK = 0.1
    DELAY_AFTER_SUBMIT = 1.5
    DELAY_AFTER_CLICK = 1.5

class GUIRunner(GUIRunner):
    def do_fill(self, name: str, value: str) -> None:
        """Fill the text element `name` with `value`"""

        element = self.find_element(name)
        element.send_keys(value)
        WebDriverWait(self.driver, self.DELAY_AFTER_FILL)

class GUIRunner(GUIRunner):
    def do_check(self, name: str, state: bool) -> None:
        """Set the check element `name` to `state`"""

        element = self.find_element(name)
        if bool(state) != bool(element.is_selected()):
            element.click()
        WebDriverWait(self.driver, self.DELAY_AFTER_CHECK)

class GUIRunner(GUIRunner):
    def do_submit(self, name: str) -> None:
        """Click on the submit element `name`"""

        element = self.find_element(name)
        element.click()
        WebDriverWait(self.driver, self.DELAY_AFTER_SUBMIT)

class GUIRunner(GUIRunner):
    def do_click(self, name: str) -> None:
        """Click on the element `name`"""

        element = self.find_element(name)
        element.click()
        WebDriverWait(self.driver, self.DELAY_AFTER_CLICK)

Let us try out GUIRunner and its run() method. We create a runner on our Web server, and let it execute a fill() action:

gui_driver.get(httpd_url)

gui_runner = GUIRunner(gui_driver)

gui_runner.run("fill('name', 'Walter White')")

Image(gui_driver.get_screenshot_as_png())

A submit() action submits the order. (Note that our Web server does no effort whatsoever to validate the form.)

gui_runner.run("submit('submit')")

Image(gui_driver.get_screenshot_as_png())

Of course, we can also execute action sequences generated from the grammar. This allows us to fill the form again and again, using values matching the type given in the form.

gui_driver.get(httpd_url)

gui_fuzzer = GrammarFuzzer(state_grammar)

while True:
    action = gui_fuzzer.fuzz()
    if action.find('submit(') > 0:
        break

print(action)

gui_runner.run(action)

Image(gui_driver.get_screenshot_as_png())

Exploring User Interfaces¶

So far, our grammar retrieval and execution of actions is limited to the current user interface state (i.e., the current page shown). To systematically explore a user interface, we must explore all states, notably those ending in <unexplored> – and whenever we reach a new state, again retrieve its grammar such that we may be able to reach other states. Since some states can only be reached by generating inputs, test generation and user interface exploration take place at the same time.

Consequently, we introduce a GUIFuzzer class, which generates inputs for all forms and follows all links, and which updates its grammar (i.e., its user interface model as a finite state machine) every time it encounters a new state.

Exploring states and updating the grammar at the same time is a fairly complex operation, so we need to introduce quite a number of methods before we can put this to use. The GUIFuzzer constructor sets three important attributes:

state_symbol: This holds the symbol of the current state (e.g. <state-1>).
state: This holds the set of actions for the current state, as returned by the GUIGrammarMiner method mine_state_actions().
states_seen: This maps the states seen (as in state) to the respective symbols.

Let us show these three attributes after initialization.

from Grammars import is_nonterminal

from GrammarFuzzer import GrammarFuzzer

class GUIFuzzer(GrammarFuzzer):
    """A fuzzer for GUIs, using Selenium."""

    def __init__(self, driver, *,
                 miner: Optional[GUIGrammarMiner] = None,
                 stay_on_host: bool = True,
                 log_gui_exploration: bool = False,
                 disp_gui_exploration: bool = False,
                 **kwargs) -> None:
        """Constructor.
        `driver` - the Selenium driver to use.
        `miner` - the miner to use (default: `GUIGrammarMiner(driver)`)
        `stay_on_host` - if True (default), do not explore external links.
        `log_gui_exploration` - if set, print out exploration steps.
        `disp_gui_exploration` - if set, display screenshot of current Web page
            as well as FSM diagrams during exploration.
        Other keyword arguments are passed to the `GrammarFuzzer` superclass.
        """

        self.driver = driver

        if miner is None:
            miner = GUIGrammarMiner(driver)

        self.miner = miner
        self.stay_on_host = True
        self.log_gui_exploration = log_gui_exploration
        self.disp_gui_exploration = disp_gui_exploration
        self.initial_url = driver.current_url

        self.states_seen = {}  # Maps states to symbols
        self.state_symbol = self.miner.START_STATE
        self.state: FrozenSet[str] = self.miner.mine_state_actions()
        self.states_seen[self.state] = self.state_symbol

        grammar = self.miner.mine_state_grammar()
        super().__init__(grammar, **kwargs)

gui_driver.get(httpd_url)

The initial state symbol is always <state>:

gui_fuzzer = GUIFuzzer(gui_driver)
gui_fuzzer.state_symbol

The current state is characterized by the available UI actions:

gui_fuzzer.state

states_seen maps this state to its symbol:

gui_fuzzer.states_seen[gui_fuzzer.state]

The restart() method gets us back to the initial URL and resets the state. This is what we use with every new exploration.

class GUIFuzzer(GUIFuzzer):
    def restart(self) -> None:
        """Get back to original URL"""

        self.driver.get(self.initial_url)
        self.state = frozenset(self.miner.START_STATE)

When producing a sequence of actions from the grammar, we want to know which final state we are to be in. We can retrieve this path from the derivation tree produced – it is the last symbol being expanded.

while True:
    action = gui_fuzzer.fuzz()
    if action.find('click(') >= 0:
        break

from GrammarFuzzer import display_tree, DerivationTree

tree = gui_fuzzer.derivation_tree
display_tree(tree)

class GUIFuzzer(GUIFuzzer):
    def fsm_path(self, tree: DerivationTree) -> List[str]:
        """Return sequence of state symbols."""

        (node, children) = tree
        if node == self.miner.UNEXPLORED_STATE:
            return []
        elif children is None or len(children) == 0:
            return [node]
        else:
            return [node] + self.fsm_path(children[-1])

This is the path in the finite state machine towards the "fuzzed" state:

gui_fuzzer = GUIFuzzer(gui_driver)
gui_fuzzer.fsm_path(tree)

This is its last element:

class GUIFuzzer(GUIFuzzer):
    def fsm_last_state_symbol(self, tree: DerivationTree) -> str:
        """Return current (expected) state symbol"""

        for state in reversed(self.fsm_path(tree)):
            if is_nonterminal(state):
                return state

        assert False

gui_fuzzer = GUIFuzzer(gui_driver)
gui_fuzzer.fsm_last_state_symbol(tree)

As we run (run()) the fuzzer, we create an action (via fuzz()) and retrieve and update the state symbol (state_symbol) we are supposed to be in after running this action. After actually running the action in the given GUIRunner, we retrieve and update the current state, using update_state().

class GUIFuzzer(GUIFuzzer):
    def run(self, runner: GUIRunner) -> Tuple[str, str]:
        """Run the fuzzer on the given GUIRunner `runner`."""
        assert isinstance(runner, GUIRunner)

        self.restart()
        action = self.fuzz()
        self.state_symbol = self.fsm_last_state_symbol(self.derivation_tree)

        if self.log_gui_exploration:
            print("Action", action.strip(), "->", self.state_symbol)

        result, outcome = runner.run(action)

        if self.state_symbol != self.miner.FINAL_STATE:
            self.update_state()

        return self.state_symbol, outcome

When updating the current state, we check whether we are in a new or in a previously seen state, and invoke update_new_state() or update_existing_state(), respectively.

class GUIFuzzer(GUIFuzzer):
    def update_state(self) -> None:
        """Determine current state from current Web page"""

        if self.disp_gui_exploration:
            display(Image(self.driver.get_screenshot_as_png()))

        self.state = self.miner.mine_state_actions()
        if self.state not in self.states_seen:
            self.states_seen[self.state] = self.state_symbol
            self.update_new_state()
        else:
            self.update_existing_state()

Finding a new state means that we mine a new grammar for the newly found state, and update our existing grammar with it.

class GUIFuzzer(GUIFuzzer):
    def set_grammar(self, new_grammar: Grammar) -> None:
        """Set grammar to `new_grammar`."""

        self.grammar = new_grammar

        if self.disp_gui_exploration and rich_output():
            display(fsm_diagram(self.grammar))

class GUIFuzzer(GUIFuzzer):
    def update_new_state(self) -> None:
        """Found new state; extend grammar accordingly"""

        if self.log_gui_exploration:
            print("In new state", unicode_escape(self.state_symbol),
                                  unicode_escape(repr(self.state)))

        state_grammar = self.miner.mine_state_grammar(grammar=self.grammar, 
                                                      state_symbol=self.state_symbol)
        del state_grammar[START_SYMBOL]
        del state_grammar[self.miner.START_STATE]
        self.set_grammar(extend_grammar(self.grammar, state_grammar))

    def update_existing_state(self) -> None:
        pass  # See below

If we find an existing state, we need to merge both states. If, for instance, we find that we are in existing <state-1> rather than in the expected <state-3>, we replace all instances of <state-3> in the grammar by <state-1>. The method replace_symbol() takes care of the renaming; update_existing_state() sets the grammar accordingly.

from Grammars import exp_string, exp_opts

def replace_symbol(grammar: Grammar, 
                   old_symbol: str, new_symbol: str) -> Grammar:
    """Return a grammar in which all occurrences of `old_symbol` are replaced by `new_symbol`"""

    new_grammar: Grammar = {}

    for symbol in grammar:
        new_expansions = []
        for expansion in grammar[symbol]:
            new_expansion_string = exp_string(expansion).replace(old_symbol, new_symbol)
            if len(exp_opts(expansion)) > 0:
                new_expansion = (new_expansion_string, exp_opts(expansion))
            else:
                new_expansion = new_expansion_string
            new_expansions.append(new_expansion)

        new_grammar[symbol] = new_expansions

    # Remove unused parts
    for nonterminal in unreachable_nonterminals(new_grammar):
        del new_grammar[nonterminal]

    return new_grammar

class GUIFuzzer(GUIFuzzer):
    def update_existing_state(self) -> None:
        """Update actions of existing state"""

        if self.log_gui_exploration:
            print("In existing state", self.states_seen[self.state])

        if self.state_symbol != self.states_seen[self.state]:
            if self.log_gui_exploration:
                print("Replacing expected state %s by %s" %
                      (self.state_symbol, self.states_seen[self.state]))

            new_grammar = replace_symbol(self.grammar, self.state_symbol, 
                                         self.states_seen[self.state])
            self.state_symbol = self.states_seen[self.state]
            self.set_grammar(new_grammar)

This concludes our definitions for GUIFuzzer.

Let us put GUIFuzzer to use, enabling its logging mechanisms to see what it is doing.

gui_driver.get(httpd_url)

gui_fuzzer = GUIFuzzer(gui_driver, log_gui_exploration=True, disp_gui_exploration=True)

Running it the first time yields a new state:

gui_fuzzer.run(gui_runner)

The next actions fill out the order form.

gui_fuzzer.run(gui_runner)

gui_fuzzer.run(gui_runner)

At this point, our GUI model is fairly complete already. In order to systematically cover all states, random exploration is not efficient enough, though.

Covering States¶

During exploration as well as during testing, we want to cover all states and transitions between states. How can we achieve this?

It turns out that we already have this. Our GrammarCoverageFuzzer from the chapter on coverage-based grammar testing strives to systematically cover all expansion alternatives in a grammar. In the finite state model, these expansion alternatives translate into transitions between states. Hence, applying the coverage strategy from GrammarCoverageFuzzer to our state grammars would automatically cover one transition after another.

How do we get these features into GUIFuzzer? Using multiple inheritance, we can create a class GUICoverageFuzzer which combines the run() method from GUIFuzzer with the coverage choices from GrammarCoverageFuzzer.

from GrammarCoverageFuzzer import GrammarCoverageFuzzer

from bookutils import inheritance_conflicts

Since the __init__() constructor is defined in both superclasses, we need to define our own constructor that serves both:

inheritance_conflicts(GUIFuzzer, GrammarCoverageFuzzer)

class GUICoverageFuzzer(GUIFuzzer, GrammarCoverageFuzzer):
    """Systematically explore all states of the current Web page"""

    def __init__(self, *args, **kwargs):
        """Constructor. All args are passed to the `GUIFuzzer` superclass."""
        GUIFuzzer.__init__(self, *args, **kwargs)
        self.reset_coverage()

With GUICoverageFuzzer, we can set up a method explore_all() that keeps on running the fuzzer until there are no unexplored states anymore:

class GUICoverageFuzzer(GUICoverageFuzzer):
    def explore_all(self, runner: GUIRunner, max_actions=100) -> None:
        """Explore all states of the GUI, up to `max_actions` (default 100)."""

        actions = 0
        while (self.miner.UNEXPLORED_STATE in self.grammar and 
               actions < max_actions):
            actions += 1
            if self.log_gui_exploration:
                print("Run #" + repr(actions))
            try:
                self.run(runner)
            except ElementClickInterceptedException:
                pass
            except ElementNotInteractableException:
                pass
            except NoSuchElementException:
                pass

Let us use this to fully explore our Web server:

gui_driver.get(httpd_url)

gui_fuzzer = GUICoverageFuzzer(gui_driver)

gui_fuzzer.explore_all(gui_runner)

Success! We have covered all states:

fsm_diagram(gui_fuzzer.grammar)

We can retrieve the expansions covered so far, which of course cover all states.

gui_fuzzer.covered_expansions

Still, we haven't seen all expansions covered. A few digits and letters remain to be used.

gui_fuzzer.missing_expansion_coverage()

Running the fuzzer again and again will eventually cover these expansions too, leading to letter and digit coverage within the order form.

Exploring Large Sites¶

Our GUI fuzzer is robust enough to handle exploration even on nontrivial sites such as fuzzingbook.org. Let us demonstrate this:

gui_driver.get("https://www.fuzzingbook.org/html/Fuzzer.html")

Image(gui_driver.get_screenshot_as_png())

book_runner = GUIRunner(gui_driver)

book_fuzzer = GUICoverageFuzzer(gui_driver, log_gui_exploration=True)  # , disp_gui_exploration=True)

We explore the first few states of the site, defined in ACTIONS:

ACTIONS = 5

book_fuzzer.explore_all(book_runner, max_actions=ACTIONS)

After the first ACTIONS actions already, we can see that the finite state model is quite complex, with dozens of transitions still left to explore. Most of the yet unexplored states will eventually merge with existing states, yielding one state per chapter. Still, following all links on all pages will take quite some time.

# Inspect this graph in the notebook to see it in full glory
fsm_diagram(book_fuzzer.grammar)

We now have all the basic capabilities we need: We can automatically explore large websites; we can explore "deep" functionality by filling out forms; and we can have our coverage-based fuzzer automatically focus on yet unexplored states. Still, there is a lot more one can do; the exercises will give you some ideas.

gui_driver.quit()

Lessons Learned¶

Selenium is a powerful framework for interacting with user interfaces, especially Web-based user interfaces.
A finite state model can encode user interface states and transitions.
Encoding user interface models into a grammar integrates generating text (for forms) and generating user interactions (for navigating)
To systematically explore a user interface, cover all state transitions, which is equivalent to covering all expansion alternatives in the equivalent grammar.

We are done, so we clean up. We shut down our Web server, quit the Web driver (and the associated browser), and finally clean up temporary files left by Selenium.

httpd_process.terminate()

gui_driver.quit()

import os

for temp_file in [ORDERS_DB, "geckodriver.log", "ghostdriver.log"]:
    if os.path.exists(temp_file):
        os.remove(temp_file)

Next Steps¶

From here, you can learn how to

fuzz in the large. running a myriad of fuzzers on the same system

Background¶

Automatic testing of graphical user interfaces is a rich field – in research as in practice.

Coverage criteria for GUIs as well as how to achieve them were first discussed in [Memon et al, 2001]. Memon also introduced the concept of GUI Ripping [Memon et al, 2003] – the process in which the software's GUI is automatically traversed by interacting with all its user interface elements.

The CrawlJax tool [Mesbah et al, 2012] uses dynamic state changes in Web user interfaces to identify candidate elements to interact with. As our approach above, it uses the set of interactable user interface elements as a state in a finite-state model.

The Alex framework uses a similar approach to learn automata for web applications. Starting from a set of test inputs, it produces a mixed-mode behavioral model of the application.

Exercises¶

As powerful as our GUI fuzzer is at this point, there are still several possibilities left for further optimization and extension. Here are some ideas to get you started. Enjoy user interface fuzzing!

Exercise 1: Stay in Local State¶

Rather than having each run() start at the very beginning, have the miner start from the current state and explore states reachable from there.

Exercise 2: Going Back¶

Make use of the web driver back() method and go back to an earlier state, from which we could again start exploration. (Note that a "back" functionality may not be available on non-Web user interfaces.)

Exercise 3: Avoiding Bad Form Values¶

Detect that some form values are invalid, such that the miner does not produce them again.

Exercise 4: Saving Form Values¶

Save successful form values, such that the tester does not have to infer them again and again.

Exercise 5: Same Names, Same States¶

When the miner finds a link with a name it has already seen, it is likely to lead to a state already seen, too; therefore, one could give its exploration a lower priority.

Exercise 6: Combinatorial Coverage¶

Extend the grammar miner such that for every boolean value, there is a separate value to be covered.

Exercise 7: Implicit Delays¶

Rather than using explicit (given) delays, use implicit delays and wait for specific elements to appear. these elements could stem from previous explorations of the state.

Exercise 8: Oracles¶

Extend the grammar miner such that it also produces oracles – for instance, checking for the presence of specific UI elements.

Exercise 9: More UI Elements¶

Run the miner on a website of your choice. Find out which other types of user interface elements and actions need to be supported.

Name:	Email:
City:	ZIP Code: