---
type: Whitepaper
title: "All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API"
description: "The HTML5 screen sharing extension to getUserMedia creates a cross-origin feedback loop: a site the user shares their screen with sees everything rendered, whatever its origin. An attacker opens authenticated cross-origin pages in the victim's browser and reads CSRF tokens, browsing history and private data, hiding the theft within the limits of human vision."
resource: "https://www.ieee-security.org/TC/SP2014/papers/AllYourScreensareBelongtoUs_c_AttacksExploitingtheHTML5ScreenSharingAPI.pdf"
tags: [whitepaper, webseclist-reference, sop-bypass, csrf, webrtc, info-leak, side-channel, same-origin-policy, iframe, javascript, owasp-a01-2021]
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    resource: "https://www.ieee-security.org/TC/SP2014/papers/AllYourScreensareBelongtoUs_c_AttacksExploitingtheHTML5ScreenSharingAPI.pdf"
    title: "All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API"
    author: Yuan Tian, Ying-Chuan Liu, Amar Bhosale, Lin-Shung Huang, Patrick Tague, Collin Jackson
also_at: []
authors:
  - Yuan Tian
  - Ying-Chuan Liu
  - Amar Bhosale
  - Lin-Shung Huang
  - Patrick Tague
  - Collin Jackson
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original_url: "https://www.ieee-security.org/TC/SP2014/papers/AllYourScreensareBelongtoUs_c_AttacksExploitingtheHTML5ScreenSharingAPI.pdf"
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# All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API

**All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API** - Yuan Tian, Ying-Chuan Liu, Amar Bhosale, Lin-Shung Huang, Patrick Tague, Collin Jackson, Publisher not stated.

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All Your Screens are Belong to Us:
 Attacks Exploiting the HTML5 Screen Sharing API

          Yuan Tian∗ , Ying-Chuan Liu‡ , Amar Bhosale† , Lin-Shung Huang∗ ,Patrick Tague† ,Collin Jackson∗
                                                      Carnegie Mellon University
         ∗ {yuan.tian, linshung.huang, collin.jackson}@sv.cmu.edu,† {amarb, tague}@cmu.edu,‡ {kateycliu}@gmail.com


    Abstract—HTML5 changes many aspects in the browser world           origin feedback loop does not exist by default; in most cases,
by introducing numerous new concepts; in particular, the new           what is shown to the user is only accessible to that user and
HTML5 screen sharing API impacts the security implications of          the same-origin site. With the loop, however, an attacker can
browsers tremendously. One of the core assumptions on which            exploit this information and launch attacks against the user
browser security is built is that there is no cross-origin feedback    sharing the screen. The integrity and conﬁdentiality of the
loop from the client to the server. However, the screen sharing
                                                                       user’s information are severely threatened.
API allows creating a cross-origin feedback loop. Consequently,
websites will potentially be able to see all visible content from          The attacker who has access to the victim’s screen is very
the user’s screen, irrespective of its origin. This cross-origin
                                                                       analogous to a shoulder-surfer [5] but with the additional power
feedback loop, when combined with human vision limitations, can
introduce new vulnerabilities. An attacker can capture sensitive       of opening and viewing the web pages of the attacker’s choice
information from victim’s screen using the new API without the         inside the user’s browser without the user’s consent. Since
consensus of the victim. We investigate the security implications of   the browser automatically sends authentication information
the screen sharing API and discuss how existing defenses against       (e.g. HTTP cookies), the newly opened pages that are only
traditional web attacks fail during screen sharing. We show that       supposed to be seen by an authenticated user can now be seen
several attacks are possible with the help of the screen sharing       by the attacker. We show that the attacker can steal sensitive
API: cross-site request forgery, history snifﬁng, and information      information such as personal messages and bank statements
stealing. We discuss how popular websites such as Amazon and           from the attacker-opened pages. Even worse, we show that
Wells Fargo can be attacked using this API and demonstrate the         cross-site request forgery (CSRF) tokens can be stolen from
consequences of the attacks such as economic losses, compromised
                                                                       the page source, which can then be used to mount further
account and information disclosure. The objective of this paper
is to present the attacks using the screen sharing API, analyze        attacks against the user.
the fundamental cause and motivate potential defenses to design
                                                                            In this paper, we discuss the extensions to the getUserMe-
a more secure screen sharing API.
                                                                       dia() API introduced by Google to enable screen sharing and
                                                                       their potential impact on user security. We present multiple
                      I.   I NTRODUCTION                               attacks using this API that can compromise a user’s conﬁden-
    Web browsers have evolved from applications that render            tiality and integrity. We show how an attacker can steal a user’s
simple web pages to application platforms that handle complex          data from the screen to modify the user’s accounts on popular
media, which often require installation of plugins, such as            websites. Since the attackers have the ability to see the entire
the Google voice and video chat plugins [1]. Recently, the             content of the user’s screen, the attack can not be restricted by
Web Real-Time Communications (RTC) Working Group [2]                   the same-origin policy. Because of the limitations of human
proposed APIs that allow real time communication between               sensing, a clever attacker can steal cross-origin page content by
browsers using only HTML5 APIs via JavaScript. Audio and               forcefully opening cross-origin pages on the victim’s browser
video communication, including screen sharing, can be set up           or embedding cross-origin content inside an iframe. Making
using this RTC platform [3]. The Google Chrome browser                 the attacks unobservable such as ﬂashing content quickly or
supports screen sharing as an experimental feature. It is also         using translucent color, the attacker can eavesdrop cross-origin
available in Mozilla Firefox’s nightly build. Moreover, this API       information without drawing attention. We also discuss how
is interoperable between Google Chrome and Firefox Nightly             the attacker can steal browser resources such as autocomplete
with a slight modiﬁcation to the calling site [4].                     and autoﬁll history [6] since these resources are shared across
                                                                       origins for the user’s convenience. These attacks can lead to
    The screen sharing API could be utilized to build interactive      serious consequences such as loss of money from bank accounts,
media tools and applications, however, the possibility of sharing      personal information disclosure and identity theft. Simply put,
the screen with other web browsers and servers raises various          the attacker can not only see what the user wants him to see
security and privacy concerns. Speciﬁcally, the screen sharing         but also force to user to show other sensitive information.
API creates a cross-origin feedback loop that continuously
transmits the screen back to the screen sharing website which              With the knowledge of the fundamental causes of these
belongs to other domains. This loop allows other users and the         attacks, we analyze the possibility of preventing them by a ﬁne-
screen sharing website to see the user’s conﬁdential information.      grained screen sharing, use of incognito mode, and blocking
The fundamental assumption for the web is that this cross-             third-party cookies. We compare these solutions with a focus on
security and usability. Since the paper is primarily concerned         •     Techniques that Clone the Document Object Model
about attacks using the screen sharing API, we leave the                     (DOM) to Simulate Screen Sharing: Another option
implementation and evaluation of these defenses as promising                 to share a user’s tab is transmitting an HTML DOM
future work.                                                                 object to other sites. In [9], the author describes two
                                                                             methods to do so: using Mutation Observers to monitor
Summary of Contributions
                                                                             the changes of DOM objects, and mirroring the entire
   •    We have analyzed the possible impact of the screen                   HTML DOM.
        sharing API on user privacy and security. Based on our         •     New HTML5 Screen Sharing API: The extension
        experiments and understanding about the current design               of the getUserMedia() API built on WebRTC allows a
        of the screen sharing API, we present the security                   user’s screen to be shared via JavaScript as illustrated
        implications and vulnerabilities that this API could                 in Figure 1. The detailed usage of the getUserMedia()
        possibly introduce.                                                  API is introduced in [10]1 . We use Chrome 26 imple-
   •    Based on the vulnerabilities that we have discovered,                mentation as an example to explain the screen sharing
        we show how malicious screen sharing websites can                    API here. Figure 2 shows the initiation of a screen
        steal cross-origin content from the user’s browser,                  sharing session. There are two things to note. One is
        thus affecting privacy, conﬁdentiality and integrity. We             that the API can work only over SSL connections. The
        demonstrate how an attacker can perform a CSRF                       other is that the browser asks for the user’s permission
        attack even if the target website has employed CSRF                  before it starts capturing the screen. After the user
        defenses, and how the attacker can steal other sensitive             grants the permission to share the screen, the API will
        user information. We also discuss how these attacks                  capture the entire visible area of the screen including
        can be made imperceptible to human by exploiting the                 the area outside the browser. Also, the browser ﬂashes
        limitations of human sensing.                                        a red notiﬁcation on the tab icon to alert the user that
                                                                             his screen is currently being shared in this tab, as
   •    We raised an alarm to the browser vendors about                      illustrated in Figure 3.
        the perils of view-source links. In particular, we
        highlighted the risk of malicious screen sharing
        websites gaining unauthorized access to security            var share = function share () {
        credentials by viewing the source of cross-origin             var constraints = {
        websites. As a result of our security report, Google            video: {
        [7] patched the Chrome browser, which prevents                    mandatory: {
        view-source links to be opened inside iframes.                      chromeMediaSource: 'screen'
                                                                          }
                                                                        }
Organization. The rest of the paper is organized as follows.          };
In Section II, we discuss various screen sharing techniques           navigator.getUserMedia =
along with their security implications. We present the threat           navigator.webkitGetUserMedia ||
model in Section III, and demonstrate attacks using the screen          navigator.getUserMedia;
sharing API in Section IV. In Section V, we analyze the               navigator.getUserMedia(constraints,
deﬁciencies of existing defenses and propose possible defenses          onSharingSuccess, onSharingError);
to mitigate the attacks using the screen sharing API. We            };
discuss related work in Section VI and conclude in Section VII.
                                                                   Fig. 1. The usage of the screen sharing API: Google Chrome exposes the
                                                                   chromeMediaSource constraint for developers to specify the video source. The
           II.   S CREEN S HARING T ECHNIQUES                      constraint is used as an argument of getUserMedia(). If the media source is
                                                                   set as ’screen’, getUserMedia() would capture the entire screen into the media
    Various solutions have been developed to achieve screen        stream.
sharing functionality in browsers. We classify these solutions
into three categories:                                             Security Implications. Due to the fundamental differences
                                                                   among screen sharing implementations, the new HTML5 API
   •    Techniques that Require Installation of Plugins or         has a very different security implication from the traditional
        Extensions: Popular products such as Google+ allow         screen sharing techniques. In comparison to the screen sharing
        their users to share their screens with others after       techniques that require the user to download a plugin or an
        installing the Google voice and video chat plugin          extension, the site that uses the screen sharing HTML5 API
        [1]. Additionally, the screen can be shared using the      runs inside the browser and has the ability to control its own
        Chrome extension API and WebSockets [8]. The API           page as well as open cross-origin content inside an iframe
        continuously captures the screenshots as images and        or a new window. Although the browser’s same-origin policy
        transmits the images to other sites via WebSocket. The     prevents the malicious site from accessing cross-origin content
        Chrome extension API chrome.desktopCapture is only
        accessible to whitelisted extensions with whitelisted        1 In Chrome 26, the user needs to enable screen capture support by setting

        origins.                                                   “Enable screen capture support in getUserMedia()” in chrome://ﬂags.
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                                                                                    8HWJJS8MFWNSL<JGXNYJ         8HWJJS8MFWNSL<JGXNYJ

                                                                                                                            8JSXNYN[J(TSYJSY

Fig. 2. The browser requests the user’s permission for sharing his screen
with the host website. The screen sharing does not begin until the user grants
the permission.
                                                                                 Fig. 4. The limitation of human vision allows the attacker to hide the
                                                                                 information stealing process.


                                                                                                       III.   T HREAT M ODEL


                                                                                 In-Scope Threats. In this paper, we are concerned with the
                                                                                 security impact of the new screen sharing API. We discuss
                                                                                 attacks which can be launched when a user is using a screen
                                                                                 sharing website to share his screen with other users. The attacker
                                                                                 could be the malicious screen sharing website or the other user
                                                                                 with whom your screen is shared.
                                                                                     As illustrated in Figure 5(a) and Figure 5(b), we consider
                                                                                 two threat models. In the ﬁrst model, a malicious screen sharing
                                                                                 website attempts to steal the user’s sensitive information from
                                                                                 other target sites and the browser and to affect the integrity of
                                                                                 the user’s account state. Then, the user is using their browser
                                                                                 with accounts from target websites logged in, and screen sharing
Fig. 3. Once the user provides permission to capture the screen, the browser     with other users from an attacker’s screen sharing website is
ﬂashes a red notiﬁcation on the tab.                                             initiated. The malicious screen sharing website embeds pages
                                                                                 of target websites in iframes or pop-ups and makes these
                                                                                 pages invisible to the user. In the second threat model, the
directly using JavaScript, using the new screen sharing API, the                 attacker is a malicious receiver. While they are sharing screens
malicious site can see the content belonging to cross-domains.                   together by a screen sharing service, the malicious receiver
The malicious site can misuse this ability and force the browser                 sends some malicious links which embeds sensitive information
to open sensitive resources such as an email inbox page or                       to the victim. As the malicious receiver can use tricks to hide
a victim’s bank account statement page inside iframes or in                      sensitive information and record the shared screen to extract
new windows and capture the cross-origin content rendered                        content invisible to human eyes, the victim might not be aware
inside these new windows. Since the browser automatically                        of the attack. Even if the victim user ﬁnds something suspicious
sends cookies for the respective sites, if the user is already                   and quits the screen sharing session, his sensitive information
logged into those sites, the iframes embedded inside attacker’s                  has already been collected by the attacker. To provide a clear
screen sharing website or new windows opened by the attacker                     outline of the threat models, we identify six roles involved and
will reveal sensitive user information to the screen. Although                   deﬁne their abilities below.
sensitive user information can be collected by an attacker’s
server, this information stealing may be imperceptible to victims                   •     Malicious website: A malicious website is a web at-
because of the limitation of human vision. For example, the                               tacker who hosts a website with a valid SSL certiﬁcate
attacker can hide the malicious behavior by playing tricks such                           and uses the screen sharing API to view the user’s
as making content almost transparent or fairly small or ﬂash                              screen. The attacker lures the user to visit the site and
content fast. As is illustrated in Figure 4, the user’s vision                            convinces the user to share the screen. Once the user
is different from the attacker’s capture. Note that even if the                           starts using screen sharing on the malicious website, the
user notices the attack, they cannot prevent against the attack                           web attacker displays the user’s sensitive information
because the sensitive data has been stolen by the attacker when                           on the screen. Since the content on the user’s screen
the user sees the attack.                                                                 is sent to the screen sharing server during the screen
          User on Malicious Screen-sharing Website                         User‘s Browser
                                                                            Attacker Server
                                                                                                                                                                       User‘s
                           Target                Target                                           Benign
                                                                         Malicious Screen                                                                              Browser
                          Website A             Website B                                         User
                                                                         Sharing website                                       Target           Target
                                                   1) Collect sensitive
                                                   information                                                              Website A
                                                                                                                         Sensitive             Website B
                           Target                Target
                                                                        Target Victim Websites                         Information
                          Website C             Website D

                                                     2) Send attack flow                                                                                                 Benign
                                                                                                                                                                         Screen
                                                                                                                                                                         Sharing
                                                                             User                                                                                        Website


                                                                                                   Malicious
                                                                                                   User
                                                                                                   /Receiver                Sensitive                               Shared
                                                                                                                          Information                               Screen of
                                                                                                                                                                    Benign
                                                                                                                                                                    User
(a) Malicious screen sharing website: The user is logged in on target
websites inside his browser and his screen sharing is being shared
with other users through the attacker’s screen sharing website. The                              (b) Malicious screen sharing user/receiver: The malicious user/receiver tricks the
malicious screen sharing website can see the cross origin content                                benign user to click some malicious links during a screen sharing session. When the
rendered inside the users browser.                                                               benign user clicks on the links, sensitive information is disclosed to the malicious
                                                                                                 user. Note that in this threat model, the screen sharing website is benign.
Fig. 5.    Two threat models of attacks with the screen sharing API.




            sharing session, the attacker can collect the user’s                                     •         Malicious User/Receiver: Malicious user/receiver re-
            sensitive information. Furthermore, the web attacker                                               ceives the shared screen from the victim user and tries
            can utilize the security credentials he gets from the                                              to collect sensitive information from the victim user.
            screen to launch more sophisticated attacks such as                                                They steal the sensitive information by tricking the
            CSRF attacks with the CSRF token, which is collected                                               user to click some malicious links during the screen
            from the user’s screen.                                                                            sharing session. After the victim user clicks through
                                                                                                               the malicious links, the malicious user/receiver will
    •       Screen sharing website: Screen sharing website is
                                                                                                               be able to look at the sensitive content such as user’s
            a website which provide screen sharing service. It
                                                                                                               account information, browsing history and CSRF token
            captures the screen from one user and forwards it to
                                                                                                               from the shared screen.
            another user.
    •       Benign user: A user visiting the malicious website                                       •         User’s Browser: We assume that the user uses
            authorizes screen sharing with the attacker. The website                                           browsers that are patched for vulnerabilities allowing
            does not request the user to enter any sensitive data                                              history snifﬁng and autocomplete history stealing
            when sharing the screen. Also, the user does not open                                              reported in the past [11] [12] [13]. The web attacker
            any browser tabs or windows that will reveal the user’s                                            cannot bypass the same-origin policy enforced by the
            personal data to the attacker. We assume that the user                                             browser, but can execute any JavaScript within the
            does not log out of target sites such as Gmail, Wells                                              context of the attacker’s domain, while still honoring
            Fargo and Amazon. We argue that the assumption is                                                  the same-origin policy.
            reasonable because most popular sites do not invalidate                                  •         Target Sites: Target sites contain sensitive information
            the user’s session until the user logs out. Users might                                            that an attacker wants to steal. Our threat model
            believe that the attacker’s site cannot access their data                                          assumes that target sites defend against cross-site
            on other sites since the browser’s same-origin policy                                              scripting (XSS) and CSRF attacks. These sites use
            prevents cross-origin data access. Therefore, the user                                             secret validation tokens to protect against CSRF attacks
            may not feel it is necessary to log out of services                                                and these tokens cannot be stolen by traditional web
            before starting screen sharing. We also assume that                                                attackers without screen sharing because they cannot
            the user is an ordinary human with common vision                                                   access cross-origin page sources.
            limitations such as not being able to catch content
            which is ﬂashing fast or see content which is almost                                     Overall, the ﬁrst threat model contains the following roles:
            transparent. This means that if the attacker exploits                                the malicious screen sharing website, the benign user, the
            these human vision limitations to hide the process of                                user’s browser, and the target website. The malicious screen
            collecting sensitive information, the user cannot notice                             sharing website collects the user’s information by using invisible
            it. Even if the user indeed notices the attack, it is                                iframe or pop-ups to steal user’s sensitive information. In the
            done almost instantly and their sensitive information                                second threat model, we consider the following parties: screen
            is already stolen by the attacker.                                                   sharing website, user, malicious user/receiver, user’s browser,
targeted websites. During a screen sharing session, and the            Security Principles            Vulnerabilities
malicious user/receiver tricks the benign user to click some           Integrity                      CSRF
pages with sensitive information. In this threat model, the attack     Conﬁdentiality                 Autocomplete history snifﬁng
works even when the screen sharing website is benign. Note                                            User account history snifﬁng
that a malicious user/receiver and a malicious screen sharing                                         Personal information theft
website can also collude to collect information. The screen                                           Browsing history snifﬁng
sharing attacks we proposed would work in HTML5-compliant
browsers (including mobile web browsers) without installing
additional software.                                                 TABLE I.        T HE SCREEN SHARING API DISRUPTS THE INTEGRITY AND
Out-of-Scope Threats. We do not consider the network                                       CONFIDENTIALITY PRINCIPLES .

attacker. We assume that network attackers cannot steal any
sensitive information by acting as a man-in-the-middle (e.g., if       UseronMaliciousScreen
all of the target sites operate over HTTPS).                                                                                 AttackerServer
                                                                       sharingWebsite
          IV.   ATTACKS USING S CREEN S HARING                                                                  1)Collectsensitive
A. Overview of Attacks                                                                                          information
    Screen sharing aims to provide a real-time communication
channel that allows users to share the visual contents of their                                                 2)Send
entire computer screen with other users. The visual channel                                                     attackflow
opens up capabilities of the screen sharing website to collect
information from different origins. The screen sharing website
can utilize some visual effects to make the content seen by
the user different from the real information displayed in the
screen. For example, the website can ﬂash sensitive information
quickly or make an iframe look transparent. By combining             Fig. 6. The steps of launching attacks using Screen Sharing. 1. A victim
                                                                     user starts to share his/her screen with the screen sharing website provided
screen sharing with other tricks, the malicious screen sharing       by the attacker, and the attacker collects sensitive information from the user’s
website can collect sensitive information without users’ consent.    screen. 2. The attacker sends packets from the user’s browser based on the
This idea inherently breaks the same-origin policy that restricts    information collected in the ﬁrst step.
web documents from leaking information to other domains.
Unfortunately, the current design of modern browsers does not
take screen sharing into account, thereby introducing multiple       B. Attacks on Integrity
security holes. In the following sub-sections, we describe how           Session integrity is essential for users and the websites
an attacker can exploit these security holes and compromise          they trust to exchange data. If the attackers can compromise
the user’s security. We show that it is possible to attack           session integrity, they can obtain unrestricted access to the
several popular websites, such as Wells Fargo, Gmail and Bing,       target site and perform actions on behalf of the user. One such
using the screen sharing API thereby affecting the integrity         attack that affects the integrity of the user’s session is the
and conﬁdentiality of the user’s session. A brief summary is         CSRF attack. In this attack, the attacker disrupts the integrity
provided in Table I.                                                 of the user’s account state by forging a request with the user’s
Steps of Attacks. Attacks listed in the table take two steps as      credentials. A commonly adopted defense against CSRF attacks
are illustrated in Figure 6. In the ﬁrst stage, a user starts to     relies on the trusted site setting secret validation tokens that
share his/her screen with the screen sharing website provided        are only known by the user’s browser and sent back with the
by the attacker. The sensitive information from the user will be     request to authenticate the sender. However, the defense is
collected, such as CSRF tokens and personal information. In the      vulnerable in a situation where the content of the target site is
second stage, the attacker server will send attack packets back      likely to be leaked to third parties [14]. Particularly, in the use
to their victim’s browser based on the information collected         case of screen sharing, the user’s secret validation tokens are
in the ﬁrst step. For example, the attacker server can send          accessible to the attacker hosting attacker.com with malicious
forms with stolen CSRF tokens back to the browser to launch          screen sharing services (see Figure 7). Once the user clicks
the CSRF attack. For attacks on conﬁdentiality, attackers only       on a button to authorize screen sharing, the attacker could
need to get information from the user, hence they just need          inject code to embed an iframe with view-source links into
to go through the ﬁrst step. For attacks on integrity, attackers     the DOM. If the target site (say, bank.com) doesn’t enable
need to implement the second step to send packets from a             X-Frame-Options [15], the view-source link will expose the
user’s browser to victim websites. Due to the simplicity of this     entire page source including the secret validation tokens to
process, the attacks can be easily automated and ﬁnished in a        the attacker2 . Once the attacker obtains the secret token, the
short period. Detailed descriptions about attack processes will      attacker can send forged requests from the user’s browser. The
be provided in the next section.                                     trusted site accepts this request since it contains the expected
                                                                      2 iframes can no longer render view-source links in Google Chrome and

                                                                     Mozilla Firefox [7], [16].
Fig. 7. Steps of a CSRF attack. 1. attacker.com requests a page with secret validation tokens from bank.com. 2. The screenshots with the source code and secret
validation tokens are transmitted to the attacker’s server via the screen sharing API. 3. The attacker sends a form with a post request and the secret validation
tokens to attacker.com to transfer money. 4. The post request is sent from the user’s browser to bank.com and accepted by bank.com.


authentication information: the HTTP cookie and the secret                             Using the code mentioned above, we test on multiple
validation tokens.                                                                 popular websites that adopt secret validation tokens to defend
                                                                                   against CSRF. Below, we describe one case study of Wells
    Retrieving secret validation tokens from target sites is a
                                                                                   Fargo where we are able to break its defense mechanism
crucial step in a CSRF attack. The following piece of code
                                                                                   through screen sharing.
worked in our CSRF attack experiments. First, we used an
iframe with the view-source link to expose the source code on
the screen. The view-source link syntax is different between                       Wells Fargo. Wells Fargo uses session arguments extensively
Google Chrome and Firefox. For Google Chrome, the code is                          in their websites. One usage is passing a session argument as
implemented as follows:                                                            a URL parameter in the page to send money. The mechanism
                                                                                   impedes an attacker’s advances toward hacking; however, it
<iframe viewsource="viewsource"
                                                                                   will not work while the user is sharing the screen because
    src="https://bank.com" ... />
                                                                                   the attacker can retrieve the URL from the source code. For
                                                                                   example, in Figure 8 the source code of the “Transfer” page
   For Firefox, the code has slight changes:                                       reveals the URL of “Send & Receive Money” which is supposed
                                                                                   to be secured by the session argument. Since the Transfer page
<iframe src=
                                                                                   doesn’t enable X-Frame-Options, the attacker is able to use
    "view-source:https://bank.com" ... />
                                                                                   iframes and view-source links mentioned above to extract the
                                                                                   URL.
    Next, we exploit relative positioning of CSS to locate the
lines containing the secret validation tokens inside the iframe.                       When the attacker successfully lands on the “Send &
By using a negative value for top along with the position                          Receive Money” page, the attacker is able to perform a variety
property, we are able to scroll the iframe to a speciﬁc position.                  of severe and persistent CSRF attacks because this page
For example,                                                                       contains multiple critical session arguments and URLs that
                                                                                   allow the attack to send forged requests. For example, in
<div                                                                               Figure 9, the source code exposes the session arguments and
   style="position:absolute;top:-2000px">                                          URLs for requests to update recipients, add recipients, and
   <iframe                                                                         manage contacts. The attack can expose critical information
      style="width:800px;height:10000px"                                           to manipulate the user’s recipient and contact lists. Worse,
      viewsource="viewsource"                                                      attackers can transfer money to their own accounts because the
      src="http://bank.com" />                                                     page also provides a link to transfer money. In Figure 10, the
</div>                                                                             attacker sends a post request to wellsfargo.com which contains
                                                                                   the stolen session arguments and URLs to transfer money to
With this technique, we can collect the CSRF token or other                        his account. Note that these attacks no longer work on Google
security credentials from a size-limited window.                                   Chrome [7] and Mozilla Firefox [16] since these browsers do
                                                                                Fig. 10. The attacker can create a post request to send money with the stolen
                                                                                arguments during screen sharing.



                                                                                the sites the user has visited before.
                                                                                We summarize how the attackers applying the four methods to
                                                                                collect data from the three categories in Figure 11. In the next
                                                                                few sections, we display the results from these attacks.
                                                                                     1) Autocomplete History Snifﬁng: Autocomplete is a
                                                                                browser feature designed to save the user’s effort from typing
                                                                                the same input repeatedly. User-supplied form values for text
Fig. 8. Secret session arguments can be retrieved from the source code by the   ﬁelds are shared across different websites by the “name”
attacker during a screen sharing session, and these arguments can be applied    attribute. Take the Gmail login form for example. As shown in
to mount further attacks.
                                                                                Figure 12(a), the username entered into the Gmail login page
                                                                                will automatically populate the autocomplete history for all
not display page source using view-source links inside iframes.                 subsequent input ﬁelds bearing the same name as that on the
                                                                                Gmail login page, which is “Email”.
                                                                                    The browser shares the same autocomplete database across
C. Attacks on Conﬁdentiality                                                    all websites. The only exception to this rule is that the browser
    Conﬁdentiality of web sites guards users’ sensitive                         does not populate the input ﬁeld if the type is set to “password”.
information, such as email addresses and credit card                            More speciﬁcally, the browser provides the password history
numbers, from being disclosed to third parties. To guarantee                    only to the page where the user had manually entered his/her
conﬁdentiality, many websites adopt encrypted communication                     password initially. This prevents malicious websites from
channels such as HTTPS to transmit data between servers                         stealing the saved passwords for other websites. Generally, the
and clients. However, with the screen sharing functionality,                    user enters the same information for ﬁelds such as email, phone
a malicious screen sharing website can collect cross-domain                     numbers and address because this information that identiﬁes
content from victim websites by displaying target websites on                   the user does not depend upon the website.
the screen. Therefore, HTTPS defense is entirely broken when                        Though the browser saves the autocomplete history, the
the screen sharing API is involved.                                             browser prevents websites from directly accessing the auto-
                                                                                complete history. For example, there is no DOM element
    In the following discussion, we illustrate four attack methods              associated with the autocomplete history, which could be
that can disrupt the conﬁdentiality of trusted websites using                   accessed programmatically using JavaScript. However, Jeremiah
the screen sharing API: auto-complete history snifﬁng, framing                  Grossman has discovered multiple vulnerabilities which can
target websites, opening target websites in a new window and                    allow a malicious website to steal the autocomplete history
browsing history snifﬁng. For auto-complete history snifﬁng,                    by manipulating the autocomplete functionality [11]. Browsers
attackers utilize the auto-complete feature of the browser to                   have patched the vulnerabilities that allow stealing personal
collect history with characters invisible to the user. For framing              data [12].
target websites, attackers navigate iframes to websites which                       Since the browsers have patched these issues, a malicious
contain sensitive information and do not have X-Frame-Options                   website cannot access the autocomplete history programmati-
enabled. For websites which have X-Frame-Options turned on,                     cally. Firefox resolved this issue by restricting the web pages
attackers open them in new windows. For browsing history                        to programmatically send input to the text ﬁelds [13]. Google
snifﬁng, attackers embed URLs to test if users have visited                     Chrome 30, however, still allows passing inputs programmat-
certain websites. Through these approaches, attackers collect                   ically to the text ﬁelds using JavaScript. This vulnerability
information in three categories: personal information, account                  combined with the screen sharing feature enables the attacker
activity, browsing history. Personal information includes the                   to brute force the autocomplete history for text-ﬁelds with
user’s account name, password, email, address, and bank                         common “name” attributes such as name, email, address, and
account number. Account activities are the records of user                      age.
behaviors for one account, including purchase history, search
history, and transaction history. Browsing history is formed by                     To prove this, we use the proof-of-concept from ha.ckers.org,
Fig. 9. Multiple session arguments are exposed in the source code. Therefore, the screen sharing attacker can collect these arguments and use them to generate
CSRF attack packets.


                                                                                     One attacking approach is to embed target links in the
                           Attack Approaches                                     attacker’s website that provides screen sharing services. The
  Auto-complete          Frame to       Open Target          Browsing            attacker can infer the browsing history from the colors of
     History              Target         Website in           History            links rendered on the screen. Although vendors hide the render
     Sniffing            Website        New Window            Sniffing
                                                                                 differences between visited and unvisited links from JavaScript
                                                                                 in order to prevent history snifﬁng, they still expose the
                                                                                 differences to users for usability reasons; therefore, the screen
                                                                                 sharing attacker can display the links in a way users cannot
                                                                                 easily notice and capture the color of the links to infer the
                                                                                 browsing history of the user.
               Personal          Account          Browsing                           3) Framing Target Website: For websites that do not enable
             Information         Activity          History                       X-Frame-Options, attacks can still succeed if attackers frame
                                                                                 pages that expose sensitive information. We demonstrate how
                           Target Information                                    the attackersteal personal information in the following sections.

                                                                                 Account Activity Snifﬁng. Many websites provide users with
Fig. 11. The attacker can apply the four methods to collect data from the        the option of seeing their account activity. For example, on
three categories.                                                                an e-commerce site, the user can see his transaction history.
                                                                                 Similarly, on a search engine site, the user can check his search
                                                                                 history. The URL of the page that stores the user’s activity
which was used to demonstrate the autocomplete history steal-
                                                                                 information is often static. Thus, the attacker can attempt to
ing attack on Safari [17]. This JavaScript code programmatically
                                                                                 open these URLs in a new window on the victim’s browser,
supplies all possible characters as single character inputs to
                                                                                 and if the victim is logged into these services, the pages will
the input text ﬁelds for each of the common text ﬁeld attribute
                                                                                 expose the user’s account history.
names such as name, company, city, and email. The browser
automatically populates the autocomplete history, if it exists,                     Below, we illustrate two popular services that record the
for the combination of the starting letter and the text ﬁeld                     account history at a static URL.
attribute name. The sample result is shown in Figure 12(b).
                                                                                      •    Amazon:
    Using this technique, the attacker forces the browser to                                  1) http://www.amazon.com/%20gp/history?ie=
display the autocomplete history on the victim’s own page.                                          UTF8&ref =ya browsing history
                                                                                              2) https://www.amazon.com/gp/css/
    2) Browsing History Snifﬁng: Browsing history refers to                                         order-history/ref=ya orders css.
a list of web pages where a user has visited. Although the                                 These two pages store a user’s browsing and purchase
information is secured by the user’s browser, the information                              history. For example, Figure 13 shows the browsing
can be stolen in the context of screen sharing.                                            history of an Amazon account. Since the two pages are
                                                                                  (b) The attacker’s page enters “j” in the input text ﬁeld to see the autocomplete
                                                                                  history related to the element that had the name attribute set to “Email”.
(a) The browser automatically shows the strings from autocomplete history
that start with the letter(s) entered in the text ﬁeld. For example, the ﬁgure
shows what the browser displays on entering the letter “j”.

Fig. 12.   Auto-complete History Snifﬁng




Fig. 13. The attacker can collect the browsing history of Amazon by displaying
the history page.



           not protected by X-Frame-Options, the attacker can
           load them inside an iframe on their website.
    •      Bing:
                                                                                 Fig. 14.   The attacker can steal the search history of Bing during screen
           http://www.bing.com/proﬁle/history. Bing stores a                     sharing.
           user’s search history locally, irrespective of whether
           the user is currently logged in or not. As illustrated
           in Figure 14, the Bing history page keeps the search                  such pages inside the user’s browser. For example, some of
           history, organizing the terms searched by users in blue               the popular services that store sensitive account information at
           blocks with respect to time. By opening the URL, an                   static URLs are shown below.
           attacker can retrieve the user’s search history from the
           screen.                                                                   •      ebay:
                                                                                            http://my.ebay.com/ws/eBayISAPI.dll?
    As for Google Search, users are asked to enter their                                    MyeBay&CurrentPage=MyeBayPersonalInfo&gbh=
passwords before they can see their search history. Since our                               1&ssPageName=STRK:ME:LNLK. This URL reveals
threat model assumes that the user does not have to enter any                               sensitive user information such as the user’s address
sensitive information on the screen while his screen is being                               email, ID and payment methods.
shared, Google Search history cannot be stolen using this
technique.                                                                           •      Amazon:
                                                                                            To purchase goods and deliver them to a user’s address,
                                                                                            the user inputs payment and address information into
Personal Information Theft. These attacks are similar to
                                                                                            their Amazon account page. The attacker can embed
account history snifﬁng expect for the information at risk. The
                                                                                            the page that records payment information in the
attacker can get sensitive information from a user if the user
                                                                                            screen sharing page. Figure 15 is a screenshot for the
is logged in their account. The attacker can steal information
                                                                                            information that would be collected by the attacker.
stored at static URLs with the help of screen sharing by opening
                                                                                 history&nav=0%2e3. Paypal keeps track of transaction
                                                                                 history for users, including email address of senders
                                                                                 and receivers, as well as other detailed information of
                                                                                 the transactions (see Figure 16).

                                                                         Personal Information Theft
                                                                              We experimented with popular websites and found that
                                                                         attackers can steal information from many websites by opening
                                                                         the target websites in a new window. This is not an exhaustive
                                                                         list of static URLs that host sensitive content. The aim of this
                                                                         section is only to demonstrate that it is easy for an attacker to
                                                                         launch such attacks.

                                                                            •    Google:
                                                                                 Google hosts a variety of services, such as Gmail,
                                                                                 Google Contacts, and Google Calendar. Since these
                                                                                 web pages contain plenty of sensitive information, an
                                                                                 attacker can exploit pop-up windows to open these web
Fig. 15. The attacker can collect payment and address information from
                                                                                 pages. For example, the attacker can steal the user’s
Amazon.                                                                          Gmail and Google Doc by opening the following links
                                                                                 during the screen sharing session:
                                                                                    1) https://mail.google.com/mail/#inbox
                                                                                    2) https://drive.google.com/?tab=mo&authuser=
                                                                                          0#my-drive
                                                                            •    PayPal:
                                                                                 PayPal maintains personal information, such as a
                                                                                 user’s SSN, email, phone number and address, in
                                                                                 the proﬁle page ( https://www.paypal.com/webapps/
                                                                                 customerproﬁle/summary.view?nav=0%2e6). The at-
                                                                                 tacker can collect the user’s information by opening
                                                                                 the proﬁle page using a popup window (see Figure
                                                                                 17).
                                                                            •    Facebook:
                                                                                 For Facebook, the attacker can pop out a window and
                                                                                 navigate to https://www.facebook.com/messages/ and
                                                                                 https://www.facebook.com/friends?ft ref=mni to steal
                                                                                 Facebook messages and other sensitive information.

                                                                                       V.   A NALYSIS AND D ISCUSSION
Fig. 16.   The attacker displays activity history of Paypal.
                                                                             With the visual channel created by screen sharing API, the
                                                                         assumption that websites cannot access the cross-origin content
    4) Open Target Sites in New Browser Windows: Even if                 directly is broken. Therefore, current defenses which are based
the websites are protected from being loaded inside an iframe,           on the assumption can be bypassed by the attacks using screen
an attacker can still steal the secret information because the           sharing API. In this section, we ﬁrst present our analysis about
attacker can see the pages containing sensitive information              the practical relevance of the attack, and then demonstrate how
by opening them in a new window. The attacker can make it                the attacks bypass the current defenses. Finally, we discuss
imperceptible to the user by opening and closing the window              some potential solutions of the problem for browser vendors,
really fast. Similarly, they can also collect personal and               websites and users and compare their security and usability.
account activity information. We use the following examples
to illustrate such attacks.                                              A. Feasibility of Screen Sharing Attacks
                                                                            The screen sharing attacks are feasible and imperceptible
Account Activity Snifﬁng. Websites hosting sensitive account             to users owing to the following reasons. First, the screen
activity information are vulnerable when X-Frame-Options are             sharing attack becomes more workable when it is combined
not enabled. Here we chose PayPal as an example.                         with orthogonal attacks such as phishing attacks and social
    •      Paypal:                                                       engineering. The user might be tricked to click on a malicious
           https://www.paypal.com/us/cgi-bin/webscr?cmd=                 website for screen sharing. Even when the user is in the process
                                                                               implemented CSRF defense, can be stolen by the combination
                                                                               of the view-source link and the screen sharing API. The defenses
                                                                               that block JavaScript queries against history snifﬁng can also
                                                                               be compromised because an attacker can see a user’s history
                                                                               directly from the screen. SSL cannot guarantee the integrity
                                                                               and conﬁdentiality of the user’s session with a trusted website
                                                                               because the attacker is able to access the raw data that is already
                                                                               decrypted in the client side.




                                                                               C. Discussion about Potential Defenses
                                                                                   As we discussed in the last section, current defenses
                                                                               deployed by browsers and websites are not designed against
                                                                               the screen sharing API and cannot stop all attacks. This
                                                                               demonstrates that new defenses need to be developed to secure
                                                                               the API. Therefore, we propose several potential defenses
                                                                               against screen sharing atttacks. These defenses can be classiﬁed
                                                                               into 3 categories : security enhancement for browser vendors,
                                                                               best practices for websites and best practices for users. We
                                                                               compare the usability and security of the potential defenses
                                                                               (see Table III) and analyze the details of these methodologies in
                                                                               the following sections. A privacy-preserving and more usable
Fig. 17. The attacker can collect sensitive personal information from PayPal   solution will require further investigation.
by displaying the account information page.



of screen sharing on a benign website, the screen sharing attack
could also be fulﬁlled. For instance, if the user has a friend                    1) Security Enhancement in Browsers: To defend and
whose account has been compromised, the friend could invite                    mitigate against these attacks, browser vendors can enforce
the user into a screen sharing session and convince the user                   constraints over screen sharing. We discuss potential defenses
to click adversarial links. Generally speaking, once the screen                below, and compare the pros and cons of these approaches.
sharing session starts, the attack becomes possible.
    Second, the adversary is capable of playing some tricks                    Restrict loading View-source Links The view-source option
to render the attack invisible to user due to the limitation of                is vulnerable because attackers can exploit it to get access to
human vision. The user can hardly notice the ﬂashing content                   source code that contains sensitive information such as CSRF
and almost transparent content. Even if the user observes                      tokens. Browsers should prevent view-source links to be opened
something suspicious and stops the screen sharing, the attacker                through JavaScript. The page that displays the page-source
has already captured the sensitive information and ﬁnished the                 should be opened only when the user makes an explicit
attack. Finally, to make the attack even less observable, the                  request through the browser UI and not programmatically
attacker can combine the timing attacks to determine whether                   using JavaScript. This lightweight approach can reduce the
the user is logged into the target websites. The attacker may                  attack surface introduced by screen sharing. Chrome has
choose to only launch attacks when the user has active sessions                removed the access to view-source pages in iframes via
with the target websites.                                                      Javascript after this issue was reported. This issue is also
                                                                               patched in the latest Firefox version. However, these patches
                                                                               can not defend against viewing the cross-origin page in pop-ups.
B. Deﬁciencies of Current Defenses
    In Section IV, we demonstrate a variety of attacks that
could compromise the integrity and conﬁdentiality of trusted                   Incognito Mode. One of the most intuitive ways to defend
websites. Modern browsers such as Google Chrome and Firefox                    against screen sharing attacks is to enforce incognito mode
may be vulnerable to those attacks because the defenses they                   when screen sharing is initiated. However, this approach
currently adopt do not consider the security implications of the               itself cannot throughly assure privacy during screen sharing.
screen sharing API. Those defenses make certain assumptions                    Before incognito mode is launched, attackers can pop up
that are no longer valid if screen sharing is being used.                      windows containing sensitive information and hide them in the
                                                                               background. Once the screen sharing session starts, attackers
    As listed in Table II, the assumptions of the CSRF, history                can change the focus of the screen to display those hidden
snifﬁng, and SSL defenses are not valid in the context of                      windows.
screen sharing. The CSRF tokens, which is the most widely
 Defenses                         False Assumptions                                     Attacks
 CSRF defense using secret        Secret validation tokens are secured by the           Attacker can use the view-source link to expose
 validation tokens                browser                                               the tokens
 Block JavaScript queries for     History information is guarded by the browser         iframe and window objects can directly expose
 CSS styles                                                                             an user’s history
 SSL                              Content transmitted via SSL is not readable           Read the data after the browser decrypts it and
                                  to the attacker                                       renders on the screen.

                              TABLE II.    D EFICIENCIES OF CURRENT DEFENSES FOR SCREEN SHARING ATTACK


 Category                 Approach                   Usability                  Security                    Implementation Effort
                          Restrict loading view-    High, no user interac-      Medium, can block           Minor, remove a feature
                          source links              tion                        CSRF attacks, but
 For browser vendors                                                            not the secrecy at-
                                                                                tacks
                          Incognito mode            Medium, require ba-         Medium,       cannot        Medium, add feaure to run
                                                    sic user interaction        block user from             incognito mode when shar-
                                                                                seeing pre-opened           ing screen
                                                                                pages
                          Fine-grained sharing      Low, need user to           High, can block most        Medium, add a feature
                                                    conﬁgure tediously          attacks
                          Share one-tab at a        Medium, require ba-         High, can block most        Medium, add a feature
                          time and constrain        sic user interaction        attacks
                          cross-origin content
                          Implement proper          High, no user interac-      Medium, can not             Medium, add a feature
 For websites
                          CSRF defenses             tion needed                 block secrecy attack
                          Implement X-Frame-        High, no user interac-      Medium, can not             Medium, add a feature
                          Options headers           tion needed                 block pop-up attacks
 For users                Log out other web-        Low, need user to           High, can block most        None
                          sites                     conﬁgure tediously          attacks

                                           TABLE III.    C OMPARISON OF POTENTIAL DEFENSES



Fine-grained Sharing. Setting up a ﬁne-grained scope for
screen sharing and/or asking users to specify the domains they                                        Screen Sharing Website
want to share help to conﬁne the capability of attackers. When
users share content at the DOM element level, the attacker can          Only one tab is
only obtain the DOM elements the users choose to share. This                                               Tab A
                                                                        shared at a time                                           Tab B
presumes that users know which elements contain sensitive
information and they are not tricked into sharing elements                                                 Cross-
they do not want to share. However, because it is tedious              Prevent cross-                      Origin
for users to select the DOM elements every time, they might            origin content                      Content
tend to select more elements than intended, or even all of the         from being
elements to share. The same usability issues might also arise          displayed
when users are asked about what domains they want to share.
Users might end up approving the screen sharing website to
handle information from more origins than needed.

                                                                     Fig. 18.    Defense by sharing one-tab at a time and constraining cross-origin
Share one-tab at a time and constrain cross-origin content.          content
The idea is to only allow sharing content of one tab each time
and set up constraints for cross-origin content, as is illustrated
in Figure 18.                                                        other tabs by enforcing users to only share one tab at a time.
                                                                     Every time the user wants to share another tab, he needs to
   First, we can prevent attacks of collecting information from      choose the new tab and reinitiate screen sharing. The new tab
will be reloaded before it is shared to make sure no historic        Avoid using Double Submit Cookies. Instead of generating
information is leaked to the sharing server. The sharing process     a new token, the double submit cookies technique [18] uses
will be disabled in the former tab and enabled in the new tab.       a session ID as a random token. The session ID present in
By enforcing this approach, the attacks which exploit bugs           the cookie is copied in the page source and is submitted as
to pop out windows or change the focus of screens will be            a CSRF token. It assumes that the attacker cannot extract
blocked. Most of the screen sharing use cases involve a single       the session ID, so this ID can act as a random CSRF token.
tab and are not affected by this defense.                            However, with the assistance of screen sharing, the attacker
                                                                     can easily read the page source. In such cases, using the
    Secondly, we constrain the content in the iframe during          double submit cookies technique will not only break the CSRF
screen sharing to prevent attackers from getting useful infor-       defense but also result in a session hijacking attack.
mation, such as tokens or other credentials, by framing to
other websites. There are two options to block the cross-origin
information leakage in iframes. One option is to blank out               3) Best Practices for Users: There are a few ways for
the cross-origin content in the iframe. If the attacker tries to     users to mitigate screen sharing attacks, such as only using
embed iframes to other origins, they will only get empty pages.      trusted screen sharing websites with trusted users or logging
However, it might bring along some usability issues to the user.     out of important accounts, although the latter may sacriﬁce the
Another is blocking third-party cookies. Even if attackers try       usability of screen sharing. For example, the users need to log
to iframe to victim websites and the user has logged into their      out of their bank accounts before sharing the screen, and log
account in the victim website, the attackers can only get the        in again after the screen sharing session is terminated. These
login page. If they want to collect sensitive personal information   repeated activities are usually not preferable. Therefore, this
or account information, they will need the user to log in from       approach is not as effective as browser-based or website-based
the iframe again. This approach will break some applications         solutions because it heavily depends on user actions.
which depend on third-party cookies, such as advertisements
and the Facebook Like button. Though the constraints on iframe                          VI.    R ELATED W ORK
content might reduce usability, they improve the security of
the API and they are only enabled when users are sharing the         CSRF Attacks and Defenses. Basic CSRF attacks have been
screen.                                                              known to the community for several years. For these sites that
                                                                     are already vulnerable to basic CSRF attacks, the screen sharing
    Limiting screen sharing to only one tab at a time and using      API is not required to compromise the account. These sites
iframe cross-origin ﬁlters will reduce the attack surface and        are out of scope for our paper. Our CSRF attack focuses on
retain most of the screen sharing use cases. It is the most          the websites that implement the most popular CSRF defenses.
promising idea which strikes a balance between security and          Past studies show various techniques of stealing the CSRF
usability. Chrome starts to work on tab pickers for screen           tokens; however, these methods have limitations. E. Vela [19]
sharing, while blocking third party content is still under           demonstrates a heavy-load CSS-only attribute reader by using
discussion.                                                          attribute-selectors. However, it is not practical to read CSRF
                                                                     tokens with high entropy within a short period. Heiderich et
    2) Best Practices for Websites: Websites can defend against      al. [20] propose another CSS attack by using features such as
the basic attacks that exploit screen sharing by implementing        web-fonts based on SVG and WOFF, CSS-based animations
controls such as X-Frame-Options and verifying the ORIGIN            and the CSS content property to extract CSRF tokens. This
header, however they cannot defend against sophiscated screen        attack requires around 100 HTTP requests, whereas screen
sharing attacks such as stealing information by opening new          sharing attacks can steal CSRF tokens easily. In addition, their
windows. In the following sections, we discuss about these           attack focuses on CSRF token protected links, so the attack will
standard defenses which can be used to reduce the attack surface     not work in the scenario where the CSRF token is not attached
and their deﬁciencies.                                               to the links. In contrast, the attack using the screen sharing
                                                                     API can extract any CSRF tokens, irrespective of whether the
Implement CSRF defenses with ORIGIN header. Websites                 X-Frame-Options are set or not by the target page. A recent
can prevent CSRF attacks in which the attacker steals the secret     work on CSRF is implemented against Facebook [21]. The
token by viewing it in the source by verifying the ORIGIN            author proposes to frame the Facebook pages not protected by
header. So even if the attacker gets the token via the shared        X-Frame-Options such as plugins, and then generate a captcha
screen, he would not be able to complete the attack if the server    from the CSRF token. The attacker has to trick the user to
veriﬁes the ORIGIN. Note that ORIGIN header should not be            input the captcha to get the CSRF token. The attack needs to
used as an alternative to CSRF tokens but should be used as an       interact with the user multiple times such as requesting user
additional defense, since the ORIGIN header is only supported        permission for the plugin and asking the user to input the CSRF
in WebKit-based browsers, not Firefox or Internet Explorer..         token. Note that the screen sharing attack does not need such
                                                                     information.
Implement X-Frame-Options headers. Websites can prevent
their sensitive pages to be loaded inside malicious websites,           There have been multiple proposals for CSRF defenses.
thus preventing the attacker to view-source inside an iframe.        SOMA [22] and App Isolation [23] provide CSRF defenses
However, the attacker can still get around this defense by           by deﬁning valid entry points for the website. This can protect
opening the target webpage in a new pop-up window.                   against the CSRF attacks using the screen sharing API, but
it is infeasible to whitelist every entry point. Moreover, the       previous work related to attacks that steal the user’s screen are
web relies heavily on interlinks, so these solutions were not        limited to only stealing credentials. For example, [35] talks
widely adopted. Gazelle [24] and Tahoma [25] provide cookie          about stealing the password while it is being entered through
isolation between different apps, which also protect them from       the virtual on-screen keyboard. However, their assumption
CSRF attacks. However, the strict isolation has some usability       for user is stronger than us. We assume that the user will
issues. et al. [14] investigate current CSRF defense methods         not input any sensitive information while his screen is being
such as CSRF tokens, Referer header validation, and custom           shared, which is more reasonable.
header, and also propose an approach of checking the origin
of request. According to their study, the CSRF token, which
                                                                     Vulnerabilities of other HTML5 APIs Apart from the screen
is the most popular defense, is reliable if well implemented.
                                                                     sharing API, there are other HTML5 APIs utilized to perform
However, we ﬁnd that the CSRF token defense does not work
                                                                     web attacks. One of such vulnerable APIs is the fullscreen API
during screen sharing because the attacker can read the CSRF
                                                                     that allows developers to trigger the web page to be displayed
token directly. Mao et al. [26] propose a defense by inferring
                                                                     in a full screen. By using the API, malicious web applications
if a request reﬂects a user’s intentions. To judge the intentions,
                                                                     are able to launch phishing attacks with fake UI of target
Mao et al. suggest checking Source-set of a request, which
                                                                     sites [36]. Another example is the postMessage API which
includes its referer and all web pages hosted in ancestor
                                                                     aims to provide authenticity and conﬁdentiality for cross-origin
frames of the referer. However, referer information can be
                                                                     communication. The API is broken because developers fail to
manipulated by the attacker and sending referer information
                                                                     follow its complicated practices [37].
also raises privacy concerns.
                                                                                            VII.     C ONCLUSION
Frame Busting. Rydstedt et al. [15] propose best practices
for writing frame busting code in JavaScript, which was                  The new screen sharing API enables developers to create
used widely before the X-Frame-Options were adopted. A               rich web applications that can share media in real-time.
survey about frame busting techniques show that most of              However, the new API affects the fundamental browser security
these techniques are not reliable and can be bypassed. We            principle of the same-origin policy by creating a feedback loop
ﬁnd that around 55 percent of the Alexa top 100 websites             from the user to the server. We have analyzed the security
are using X-Frame-Options, but it is tricky to add the option        concerns raised this new screen sharing API. We discussed
to all the sensitive web pages within a domain. For screen           how it allows viewing cross-origin content and how attackers
sharing attacks, even if proper frame busting techniques and         can exploit it. As a result, the integrity and conﬁdentiality of
X-Frame-Options are used, we can still use pop-up windows            user’s information is at risk since attackers can manipulate
to open target sites and steal sensitive information.                the victim’s session state with a trusted website, and view the
                                                                     victim’s sensitive information. The browser vendors should
                                                                     analyze the possible impact on user’s security before releasing
XSS. XSS is a common approach to stealing a user’s sensitive         this API in stable versions. Users need to be aware of the
information [27]. If malicious JavaScript is allowed to be           various security and privacy concerns raised by this new API
executed within target sites, the attacker can access content        so that they can protect themselves from leaking information to
from those sites. Many XSS defenses [28] [29] [30] are               malicious screen sharing services. In summary, the capabilities
adopted to defend against XSS. However, the defenses are             of the new HTML5 screen sharing API have rendered existing
still vulnerable in the context of screen sharing. The defenses      security methods vulnerable. To counter those vulnerabilities,
would not hinder the attacker from accessing the user’s              this paper provides a new paradigm for understanding screen
information because the attacker can directly see the user’s         sharing attacks. We envision that our study will encourage
information from the screen.                                         further research to ﬁnd solutions for browser vendors, web
                                                                     developers, and users to defend against screening sharing attack.
History Snifﬁng. History snifﬁng attacks discovered in
the past were based on reading the difference between the                                  ACKNOWLEDGMENTS
rendered color of the visited and unvisited links using CSS and          We thank the Google Chrome team members, Adam Barth,
JavaScript [20] [31] [32] [33]. However, the vulnerabilities         Justin Schuh, Adrienne Porter Felt, Mustafa Emre Acer, James
that allowed such attacks were ﬁxed by browser vendors               Weatherall, Victoria Kirst and Sergey Ulanov for their guidance
because of the prevalence of the attack vectors. David Baron         on this topic. We also thank Sid Stamm and Daniel Veditz
from Mozilla [34] proposed a defense such that the true status       from Mozilla for their feedback. We also thank our colleagues
of the link, whether it is visited or not, is never revealed to      and friends, Eric Y. Chen, David Liu, Emmanuel Owusu, Brian
JavaScript. However, the links are still rendered with different     Ricks and Mike Xie for their suggestions.
colors on the screen. It was assumed that this differentiation is
only visible to the user but the screen sharing API enables the
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