---
type: Article
title: On the Incoherencies in Web Browser Access Control Policies
description: Browsers label principals differently for DOM, cookies, XHR and display, so their policies conflict wherever those resources interplay, and runtime document.domain changes are ignored by most of them. User-owned resources such as clipboard and geolocation are reachable from scripts. WebAnalyzer, an instrumented IE crawler, measured each unsafe feature across the Alexa top 100,000.
resource: "https://www.microsoft.com/en-us/research/publication/incoherencies-web-browser-access-control-policies/"
tags: [article, webseclist-reference, same-origin-policy, sop-bypass, cookie, dom, measurement-study, large-scale-scan, info-leak, clickjacking, owasp-a01-2021, owasp-a04-2021, owasp-a07-2021]
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    resource: "https://www.microsoft.com/en-us/research/publication/incoherencies-web-browser-access-control-policies/"
    title: On the Incoherencies in Web Browser Access Control Policies
    author: Kapil Singh, Alexander Moshchuk, Helen J. Wang, Wenke Lee
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authors:
  - Kapil Singh
  - Alexander Moshchuk
  - Helen J. Wang
  - Wenke Lee
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# On the Incoherencies in Web Browser Access Control Policies

**On the Incoherencies in Web Browser Access Control Policies** - Kapil Singh, Alexander Moshchuk, Helen J. Wang, Wenke Lee, Publisher not stated.

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On the Incoherencies in Web Browser Access Control Policies


                             Kapil Singh∗ , Alexander Moshchuk†, Helen J. Wang† and Wenke Lee∗
                                         ∗ Georgia Institute of Technology, Atlanta, GA
                                             Email: {ksingh, wenke}@cc.gatech.edu
                                               † Microsoft Research, Redmond, WA
                                            Email: {alexmos, helenw}@microsoft.com


    Abstract—Web browsers’ access control policies have evolved          Inconsistent principal labeling. Today’s browsers do
piecemeal in an ad-hoc fashion with the introduction of new           not have the same principal definition for all browser re-
browser features. This has resulted in numerous incoherencies.        sources (which include the Document Object Model (DOM),
In this paper, we analyze three major access control flaws in
today’s browsers: (1) principal labeling is different for different   network, cookies, other persistent state, and display). For
resources, raising problems when resources interplay, (2) run-        example, for the DOM (memory) resource, a principal is
time changes to principal identities are handled inconsistently,      labeled by the origin defined in the same origin policy
and (3) browsers mismanage resources belonging to the user            (SOP) in the form of <protocol, domain, port> [4]; but
principal. We show that such mishandling of principals leads          for the cookie resource, a principal is labeled by <domain,
to many access control incoherencies, presenting hurdles for
web developers to construct secure web applications.                  path>. Different principal definitions for two resources are
    A unique contribution of this paper is to identify the com-       benign as long as the two resources do not interplay with
patibility cost of removing these unsafe browser features. To do      each other. However, when they do, incoherencies arise. For
this, we have built WebAnalyzer, a crawler-based framework            example, when cookies became accessible through DOM’s
for measuring real-world usage of browser features, and used          “document” object, DOM’s access control policy, namely the
it to study the top 100,000 popular web sites ranked by Alexa.
Our methodology and results serve as a guideline for browser          SOP, undermines some of cookie’s access control policies
designers to balance security and backward compatibility.             (Section II-C1 gives a more detailed analysis).
                                                                         Inappropriate handling of principal label changes. A
                                                                      web application is allowed to change its principal’s label
                      I. I NTRODUCTION
                                                                      at runtime through the use of the document.domain
   Web browsers have gradually evolved from an application            DOM property. Nevertheless, the access control state is
that views static web pages to a rich application platform            often kept static and such “effective” principal IDs set by
on which mutually distrusting web site principals co-exist            document.domain are disregarded. This leads to access
and interact [1]–[3]. Along the way, the browsers’ access             control incoherencies.
control policies have also been evolving, but unfortunately              Disregard of the user principal. In this paper, we
this happened in a piecemeal and ad-hoc fashion alongside             introduce the concept of a user principal in the browser
the introduction of new browser features (such as AJAX)               setting. The user principal represents the user of a browser.
or resources (such as local storage). There have been no              Sometimes, the user principal is disregarded in existing
principles or invariants that a new access control policy must        browsers’ access control policies. Certain resources should
follow or maintain. Consequently, numerous incoherencies              belong to the user principal exclusively. They include the
in browsers’ access control policies exist, presenting hurdles        user-private state such as clipboard and geolocation, user
for web programmers to build robust web applications.                 actions like navigating back and forward in browsing history,
   In this paper, we examine the current state of browser ac-         and a browser’s UI including the current tab. These resources
cess control policies, uncover and analyze the incoherencies          should not be accessible by web applications without user
in these policies, and measure the cost of eliminating them           permission; otherwise, a web site could impersonate the user
in today’s web.                                                       and violate user privacy. Unfortunately, today’s DOM APIs
   An access control policy configures how a principal                expose some of these resources to web applications.
accesses certain resources. This involves defining how prin-             To systematically analyze and uncover the incoherencies
cipals are identified, how resources are labeled with principal       created by these three problem areas, we have devised a set
IDs, and how these labels may be changed and handled at               of coherency principles and constructed tests to check major
runtime. Unfortunately, browsers often mismanage princi-              browsers (including Internet Explorer, Firefox, and Google
pals, resulting in access control inconsistencies. We focus on        Chrome) for violations of these principles and to uncover
three major sources of these problems: inconsistent principal         the incoherencies that ensue.
labeling, inappropriate handling of principal label changes,             A major goal of our work is to evaluate the compatibility
and disregard of the user principal.                                  cost of removing unsafe browser features that contribute to
the incoherencies. To this end, we have built WebAnalyzer, a      1) Each shared browser resource, i.e. a resource shared
scalable, crawler-based browser-feature measurement frame-           among multiple principals, should have a principal
work that can inspect a large number of web pages by                 definition (labeling of principals that share the re-
rendering them in instrumented browsers. WebAnalyzer cap-            source) and have an access control policy.
tures the DOM interactions of a page by interposing between       2) For each non-shared browser resource that is explicitly
the JavaScript engine and the DOM renderer, captures the             owned by a single principal, the resource should have
protocol-level behavior through an HTTP proxy, and ana-              an owner principal with a specific label or be globally
lyzes the visual appearance of a page by extracting its page         accessible.
layout.                                                           3) When two resources interplay, both resources should
   Armed with WebAnalyzer, we have conducted measure-                have the same principal definition.
ments on the prevalence of unsafe browser features over the          This is because when two resources have different
most popular 100,000 web sites as ranked by Alexa [5]. Our           ways of labeling principals and when they interplay,
results pinpoint some unsafe features that have little back-         their respective access control policies can be in con-
ward compatibility cost and are thus possible to remove from         flict.
current browsers without breaking many sites. For example,        4) All access control policies must consider the runtime
we find that most APIs controlling user-owned resources,             label of the principals, namely, the “effective” princi-
descendant navigation, and incoherencies in XMLHttpRe-               pal ID.
quest’s principal labeling have low compatibility costs,          5) The user principal’s resources should not be accessible
whereas a substantial number of sites depend on “dangerous”          by web applications.
functionality provided by document.domain or transpar-               This is because when the user principal’s resources
ent cross-origin overlapping frames. Overall, we believe that        are accessible by web applications, the user’s privacy
by estimating the prevalence of unsafe features on the web,          may be compromised or a web application could act
our measurements can guide future browsers to make better            on the user’s behalf without the user’s knowledge.
security vs. functionality trade-offs.                            We look for violations of these principles and check for
   In summary, this work makes the following contributions:     incoherencies when violations take place. The pseudocode
   • A systematic, principal-driven analysis of access con-     below illustrates our manual analysis process.
      trol incoherencies in today’s browsers.
   • Introduction of the user principal concept for the         0 foreach (browser resources) {
      browser setting.                                          1    if exists (access control) {
   • A comprehensive, extensible compatibility measure-         2      if !considers (effective principal ID)
      ment framework.                                           3        check improper principal ID changes
   • The first large-scale measurements on the compatibility    4    } else
      cost of coherent access control policies.                 5      check if lack of policy is appropriate
   The rest of the paper is organized as follows. Section II    6 }
presents our systematic analysis of today’s browser access      7
control policies and enumerates access control incoheren-       8 foreach (pairs of resources) {
cies. Section III discusses our measurement motivation,         9    if (they interplay &&
tools, and infrastructure. Section IV presents our measure-     10        the principal/owner labeling differs)
ment results and gives recommendations on which unsafe          11       check resource interplay incoherencies
policies can be eliminated with acceptable compatibility        12 }
cost. Section V discusses limitations of our approach, Sec-
tion VI presents related work, and Section VII concludes.
                                                                   For each resource, we check whether it has an access
    II. A N ANALYSIS OF BROWSER ACCESS CONTROL                  control policy. If not, we check whether the lack of policy
                     INCOHERENCIES
                                                                is appropriate (line 5, for example, Section II-E illustrates
                                                                on how some resources that belong to the user principal
  In this section, we present our systematic analysis of        lack access control considerations). If yes, we further check
today’s browser access control policies and enumerate their     whether the access control policy considers the effective
incoherencies.                                                  principal ID that sites can change dynamically at render-
                                                                time. If it does not, then we check for incoherencies there
A. Methodology                                                  (line 3, Section II-D).
  For a systematic analysis, we establish the following            In addition, we go through all pairs of resources; if they
access control coherency principles to guide our search for     interplay and if they have the different principal definitions,
incoherencies:                                                  we check for incoherencies (line 11, Section II-C). Careful
       Shared resources        Principal definition
                                                                           documents using the Document Object Model (DOM),
       DOM objects             SOP origin                                  which is the platform- and language-neutral interface that
       cookie                  domain/path                                 allows scripts to dynamically access and update the content,
       localStorage            SOP origin
                                                                           structure and style of a document [6].
       sessionStorage          SOP origin
                                                                              A cookie is a persistent state resource. The browser
       display                 SOP origin and dual ownership *
                                                                           ensures that a site can only set its own cookie and that
                                Table I                                    a cookie is attached only to HTTP requests to that site.
 S HARED BROWSER RESOURCES AND THEIR RESPECTIVE PRINCIPAL
DEFINITIONS . *D ISPLAY ACCESS CONTROL IS NOT WELL- DEFINED IN TODAY ’ S   By default, the principal is labeled with the host name
                              BROWSERS .                                   and path, but without the protocol and the port num-
                                                                           ber [7], [8], unlike SOP origins. For example, if the page
                                                                           a.com/dir/1.html creates a cookie, then that cookie
                Non-shared resources        Owner                          is accessible to a.com/dir/2.html and other pages
                XMLHttpRequest              SOP origin                     from that dir/ directory and its subdirectories, but is not
                postMessage                 SOP origin                     accessible to a.com/. Furthermore, https://a.com/
                clipboard                   user*                          and http://a.com/ share the cookie store unless a
                browser history             user*
                                                                           cookie is marked with a “secure” flag. Non-HTTPS sites
                geolocation                 user
                                                                           can still set “secure” cookies in some implementations, but
                               Table II                                    cannot read them back [9]–[11]. A web programmer can
 N ON - SHARED BROWSER RESOURCES AND THEIR RESPECTIVE OWNER
PRINCIPAL . *ACCESS CONTROL IS NOT WELL- DEFINED IN TODAY ’ S BROWSERS .
                                                                           make cookie access less restrictive by setting a cookie’s
                                                                           domain attribute to a postfix domain or the path name to
                                                                           be a prefix path.
                                                                              Local storage is the persistent client-side storage shared
readers may wonder what happens to the interplay of more                   among principals defined by SOP origins [12].
than two resources. Coherency in this context is a transitive                 Session storage is storage for a tab [12]. Each tab has a
property. That is, if a Resource 1 and Resource 2’s access                 unique set of session storage areas, one for each SOP origin.
control policies are coherent (namely have the same princi-                The sessionStorage values are not shared between tabs. The
pal definitions) and that of Resource 2 and Resource 3 are                 lifetime of this storage is the same as that of the tab.
coherent, then the access control policies of Resource 1 and                  Display does not have a well-specified access control
Resource 3 are also coherent since their principal definitions             policy in today’s browsers and standards (corresponding to
should also be the same.                                                   line 5 in our pseudocode). Our earlier work Gazelle [3]
  The enumeration of resources is done by manually brows-                  specified an access control policy for display (and Gazelle
ing through IE’s source code (more in Section II-B). Our                   further advocated that this policy be enforced by the browser
incoherency checks are done through test programs on major                 kernel, unlike existing browsers). In Gazelle’s model, a web
browser versions.                                                          site principal delegates its display area to another principal in
  Despite our effort to be comprehensive, it is possible that              the form of cross-domain iframes (or objects, images). Such
we miss some browser resources or miss some interplays                     an iframe (window) is co-owned by both the host page’s
among the resources. We hope our work to be a start for                    principal, called landlord, and the nested page’s principal,
a community effort on mapping out the full set of browser                  called tenant (both labeled with SOP origins). Principals
access control policies.                                                   other than the landlord and the tenant have no access per-
                                                                           missions for the window. For the top-level window, the user
B. Browser resources                                                       principal owns it and plays the role of its landlord. Gazelle’s
   In this section, we enumerate all types of browser re-                  policy further specifies how landlord and tenant should
sources. A browser resource may be shared among (some                      access the four attributes of a window, namely the position,
definition of) principals or may not be shared and is ex-                  dimensions, pixels, and URL location. This specification
plicitly owned by some principal. Table I shows the shared                 guarantees that the tenant cannot interfere with the landlord’s
resources and their respective principal definitions. Table II             display, and that the tenant’s pixels, DOM objects, and
shows non-shared resources and their respective owners.                    navigation history are private to the tenant. Gazelle’s policy
We now describe each resource, their principal or owner                    is coherent with SOP. In Table III, we summarized the access
definition, and its access control policy in turn.                         control matrix for Gazelle, IE 8, Firefox 3.5, and Chrome 2.
   A DOM object is a memory resource shared among                          The access control of the URL location attribute corresponds
principals labeled with SOP origins, namely, <protocol,                    to the navigation policy of a browser. Descendant navigation
domain, port>. The access control policy of DOM objects is                 policy allows navigating a descendant window regardless
governed by SOP [4], which mandates that two documents                     of its origin; this was advocated and implemented over
from different origins cannot access each other’s HTML                     several browsers [13]. Gazelle’s policy is child navigation
                                                               Landlord                                Tenant
                                                    Gazelle     IE        FF/Chrome       Gazelle      IE       FF/Chrome
                      position (x,y,z)              RW          RW        RW                           RW
                      dimensions (height, width)    RW          RW        RW              R            RW       R
                      pixels                                    W*        W*              RW           RW       RW
                      URL location                  W           W         RW*             RW           RW       RW
                                                                   Table III
A CCESS CONTROL POLICY FOR A WINDOW ’ S LANDLORD AND TENANT ( BEING A DIFFERENT PRINCIPAL FROM THE LANDLORD ) ON G AZELLE , IE 8,
F IREFOX 3.5, AND C HROME . RW*: T HE URL IS READABLE ONLY IF THE LANDLORD SETS IT. IF THE TENANT NAVIGATES TO ANOTHER PAGE, LANDLORD WILL NOT
              SEE THE NEW URL. W*: THE LANDLORD CAN WRITE PIXELS WHEN THE TENANT IS TRANSPARENTLY OVERLAID ON THE LANDLORD .




policy. (We elaborate in Section II-C3 that the descendant
navigation policy is at conflict with DOM’s SOP.) Our tests
indicate that Firefox 3.5 and Chrome 2 currently support
the child policy, while IE 8 supports the descendant policy.
All major browsers allow any window to navigate the top-
level window, while Gazelle only allows top-level window
navigation from the top-level window’s tenant and the user.
   XMLHttpRequest allows a web site principal to use scripts
to access its document origin’s remote data store by issuing
an asynchronous or synchronous HTTP request to the remote
server [14]. XMLHttpRequest2 [15] and XDomainRequest
have been recently proposed and implemented in major
browsers to allow cross-origin communications with remote
servers, where HTTP authentication data and cookies are not
                                                                          Figure 1. Incoherency arises from the interplay between the access control
sent by default. These networking capabilities are not shared             policies of DOM and cookies
and strictly belongs to a web site principal labeled with a
SOP origin.
   PostMessage is a recently proposed client-side cross-
origin communication mechanism that is now implemented                    by setting the cookie with the “secure” flag. However, a
in all major browsers. This is also a web site principal’s                ”secure” cookie can still be set by an HTTP response
capability which is not shared with any other principals.                 and be accessed by scripts belonging to an HTTP page as
   The last three resources in the non-shared resource table,             long as their domains are the same. Additionally, different
namely clipboard, browser history, and geolocation, all be-               services running on different ports of the same domain can
long to the user principal, and web applications should not be            access each other’s cookies. Moreover, the path protection
able to access them directly. However, they are all accessible            of cookies becomes ineffective as a script from a different
by scripts through the DOM API, causing problems that we                  path can access the cookie based on SOP.
describe in Section II-E.                                                    The interplay between DOM and cookies also allows the
                                                                          scripts to set the effective domain of a cookie to any suffix
C. The interplay of the resources                                         of the original domain by setting the domain attribute of
   From the enumeration of the resources and their respective             the cookie. This can lead to inconsistencies in the current
principal or owner definition in the above section, we derived            browsers. Figure 1 shows a scenario in which such inconsis-
the following problematic pairs of resources, where the two               tencies lead to an undefined behavior in the browsers. In this
resources interplay and their principal or owner definitions              example, a cookie named “stockCookie” with value “buy”
differ: DOM-cookie, cookie-XMLHttpRequest, and DOM-                       is stored in the cookie store for the domain a.com. A script
display. We elaborate on these interplays below.                          injected into a compromised page belonging to x.a.com
   1) DOM and Cookies: DOM and cookies interplay be-                      can create another cookie with the same name but with a
cause scripts are able to create or modify cookies by using               different value “sell” while setting its domain attribute to
the document.cookie property in the DOM API.                              a.com.
   With no protocol in cookie’s principal definition, cookies                While this leads to a compromised state in the current
are vulnerable to information leaks. A cookie intended for                browsers, different browsers deviate in their behavior cre-
a secure HTTPS principal can be passed over HTTP and                      ating further inconsistencies in the web applications sup-
be exposed to network attackers. This can be prevented                    porting multiple browsers. Firefox 3 sets this cookie with
a domain value of .a.com resulting in multiple cookies             a window, a resource created by its descendant through a
with the same name in browser’s cookie store. The browser          DOM API, even if the landlord and the descendant are
attaches both cookies (genuine cookie with domain a.com            different principals. This gives a malicious landlord more
and evil cookie with domain .a.com) to any server requests         powerful ways to manipulate a nested, legitimate sites than
to a.com. The server only receives the cookie’s name-              just overdrawing: with overdrawing, a malicious landlord
value pair without any information about its corresponding         can imitate a tenant’s content, but the landlord cannot send
domain. This results in the server receiving two cookies with      messages to the tenant’s backend in the name of the tenant.
the same name. Since server-side behavior is not defined in        As an example attack, imagine that an attacker site nests
case of duplicate cookies [9], it leads to inconsistent state at   a legitimate trading site as its tenant. The trading site
a.com’s server. In case of IE 8, the original cookie value         further nests an advisory site and uses a script to interact
is overwritten and only the wrong cookie value is received         with the advisory window to issue trades to the trading
by the server.                                                     site backend (e.g., making a particular trade based on the
   2) Cookies and XMLHttpRequest: Cookies and XML-                 advisory’s recommendation shown in the URL fragment).
HttpRequest interplay because XMLHttpRequest can set               With just one line of JavaScript, the attacker could navigate
cookie values by manipulating HTTP headers through                 the advisory window (which is a descendant) and create
scripts. XMLHttpRequest’s owner principal is labeled by the        unintended trades.
SOP origin, while cookie has a different principal definition         Another conflict lies in the access control on the pixels
(Section II-B).                                                    of a window. DOM objects are ultimately rendered into
   If a server flags a cookie as “HttpOnly”, the browser           the pixels on the screen. SOP demands non-interference
prevents any script from accessing (both reading and writing)      between the DOM objects of different origins. However,
the cookie using the document.cookie property. This                existing browsers allow intermingling the landlord’s and
effectively prevents cookies being leaked to unintended            tenant’s pixels by overlaying transparent tenant iframes on
parties via cross-site scripting attacks [16].                     the landlord, deviating from the non-interference goal of
   The purpose of HttpOnly cookies is that such                    SOP. This enables an easy form of clickjacking attacks [19].
cookies should not be touched by client-side                       In contrast, Gazelle advocates cross-principal pixel isolation
scripts. However, XMLHttpRequests are created and                  in accordance with SOP (Table III, row “pixels”).
invoked by client-side JavaScript code, and certain
methods of the XMLHttpRequest object facilitate                    D. Effective Principal ID
access     to    cookies:     getResponseHeader and                   Browsers allow cross-principal sharing for “related” sites
getAllResponseHeaders allow reading of the                         by allowing sites to change their principal ID via the
“Set-cookie” header, and this header includes the value of         document.domain property [4]. This property can be
HttpOnly cookies. Another method, setRequestHeader,                set to suffixes of a page’s domain to allow sharing of
enables modification of this header to allow writing to            pages across frames. For example, a page in one frame
HttpOnly cookies.                                                  from x.a.com and a page from www.a.com initially
   Some of the latest browsers have tried to resolve this issue    cannot communicate with each other due to SOP restrictions.
with varied success. IE 8 currently prevents both read and         This is one of the few methods for cross-origin frames to
write to cookies via “Set-cookie” header, but still allows         communicate before the advent of postMessage [20]. How-
access via “Set-cookie2” header [17]. Firefox has also recog-      ever, changing document.domain violates the principle
nized and fixed the issue for cookie reads: their fix prevents     of least privilege: once a subdomain sets its domain to its
XMLHttpRequest from accessing cookie headers of any                suffix, there is no control over which other subdomains can
response, whether or not the HttpOnly flag was set for those       access it.
cookies [18]. This is a bold step taken by Firefox, as our            Furthermore, almost no existing access control policies
results show that a considerable number of web pages still         of today’s browsers take such “effective” principal IDs into
read cookie headers from XMLHttpRequest (Section IV).              consideration. In the following subsections, we examine
However, we have still observed the writing issue with             how the disregard of effective principal IDs leads to dual
HttpOnly cookies using Firefox 3.5. A script can set a cookie      identities and incoherencies exploitable by attackers. In our
with the same name as the HttpOnly cookie and can have a           attack model, an attacker owns a subdomain (through third-
different value set using the setRequestHeader method.             party content hosting as in iGoogle or by exploiting a site
This results in a duplicate cookie being sent to the server,       vulnerability). As we will show in the following sections,
thus creating an inconsistent state on the server side.            the attacker can leverage document.domain to penetrate
   3) DOM and Display: One incoherence takes place on              the base domain and its other subdomains.
URL location of a window. The descendant navigation                   1) Cookie:       Any     change     of    origin     using
policy (Section II-B) is at conflict with DOM’s SOP. De-           document.domain only modifies the effective principal
scendant navigation policy allows a landlord to navigate           ID for DOM access and does not impact the domain for
Figure 2. Lack of effective principal ID consideration in cookie’s access   Figure 3. Lack of effective principal ID consideration in XMLHttpRe-
control policy                                                              quest’s access control policy




cookie access. Figure 2 shows an attack to exploit this                     into 1.html via DOM access, and this script can then
inconsistent behavior of browser policy design. In this                     make XMLHttpRequest calls to the original domain of the
scenario, a page 1.html in domain x.a.com changes it                        page. Since a well-crafted XMLHttpRequest can change the
effective domain to a.com. As a result, it can access the                   server-side state for the web application, and this state might
DOM properties of other pages belonging to a.com, but                       be shared between other pages within the domain x.a.com,
it can no longer access the pages of its original domain                    such attack can possibly impact all pages belonging to
x.a.com. However, since the effective domain does not                       x.a.com.
change for cookie access, the page still maintains access                      3) postMessage: postMessage also ignores any
to the cookies belonging to its original domain. This                       document.domain changes: if x.a.com changes do-
inconsistent dual identity possessed by the page acts as a                  main to a.com and sends a message to y.b.com,
bridge to access cookies from both the original domain and                  y.b.com still sees the message’s origin as x.a.com. Also,
the effective domain.                                                       if y.b.com changes its domain to b.com, x.a.com still
   In order to launch the attack, an attacker (after owning                 has to address messages to y.b.com for them to be deliv-
a subdomain page) first assumes the identity of a.com                       ered. This gives the attacker (with a compromised subdo-
and subsequently injects a script into the page 1.html.                     main) an opportunity to send messages while masquerading
This injected script can now read and write the cookies                     under the identity of another subdomain (Figure 4).
belonging to x.a.com including any cookies created later.                      4) Storage: Based on our tests, IE 8 does not take any
Effectively, if the attacker can compromise a page in one                   document.domain changes into consideration for both
of the subdomains, he can access the cookies of any other                   local storage and session storage. Firefox 3.5 also ignores
subdomains that change their effective origin to the base                   effective principal ID for local storage. However, for session
domain.                                                                     storage, any domain changes via document.domain are
   2) XMLHttpRequest: Change of origin for scripts does                     considered: the old session storage is lost for the original
not change the effective principal ID for XMLHttpRequest                    domain and a new session storage is created for the effective
usage. This enables a (malicious) script in a (compromised)                 principal.
subdomain to issue XMLHttpRequest to the servers be-                           Inconsistency arises when document.domain changes
longing to the base domain and its other subdomains. The                    are ignored (for both session storage and local storage in IE;
attack scenario is illustrated in Figure 3. Page 1.html                     for only local storage in Firefox). An attacker (being able to
has changed its effective domain value to a.com from the                    inject a script into one of the pages of any subdomain, say
original value of x.a.com. With no effect on XMLHttpRe-                     x.a.com) can change its origin to the base domain a.com
quest usage, scripts in 1.html can still make requests                      and can successfully inject a script into the DOM of the base
to the server belonging to x.a.com. This again gives a                      domain or any other origins (e.g., y.a.com) that change
script a dual identity – one for DOM access (a.com) and                     identity to the base domain. Since access control checks
another for XMLHttpRequest (x.a.com). Therefore, an                         on storage rely on original domain (i.e., y.a.com), the
attacker compromising any subdomain can inject a script                     malicious script can now freely access the storage belonging
                                                                              The window object has a history property with an
                                                                           array of user-visited URLs. Browsers have been denying any
                                                                           site’s access to this array to protect user privacy, but they
                                                                           do allow a site to navigate the browser back and forward in
                                                                           history through the back() and forward() methods [8].
                                                                           Worse, our tests indicate that Firefox 3 and Google Chrome
                                                                           2 allow any child window to navigate the top-level window
                                                                           back or forward in history irrespective of the origin. In
                                                                           many cases this is just a nuisance, but some properly-crafted
                                                                           history navigation by a malicious application can lead to
                                                                           more severe damage. For example, the user might be tricked
                                                                           to make multiple purchases of the same product.
                                                                              We have also investigated synthetic event creation. The
                                                                           DOM API allows a site to generate synthetic mouse or key-
                                                                           board events through the document.createEvent()
                                                                           method (or document.createEventObject() in IE).
 Figure 4.   Lack of effective principal ID consideration in postMessage   In IE, a programmer could directly invoke a click()
                                                                           method on any HTML element to simulate user clicks. These
                                                                           techniques are useful for debugging purposes. To our delight,
                                                                           all major browsers are careful not to let a web site to manip-
to y.a.com.                                                                ulate another site’s user experience with these synthetic user
                                                                           events. Note that it is benign for a site to simulate the user’s
E. The User Principal                                                      actions for itself, since loading and rendering site content
                                                                           can by itself achieve any effects of simulating user actions
   In this paper, we introduce the concept of the user prin-               (e.g., simulating a mouse click is equivalent of calling the
cipal in the browser setting. The user principal represents                onclick function on the corresponding element).
the user of the browser. Unfortunately, it has often been                     2) Browser UI: An important part of the browser UI
neglected in browser access control policies.                              is the current tab window, or top-level window. In today’s
   While a web application does manage the user’s data                     browsers, any web site loaded in any window is able to repo-
and experience for that particular application (e.g., a user’s             sition and resize a top-level window through the moveTo,
banking data at a banking site), certain browser resources                 moveBy, resizeTo, and resizeBy properties of the
or data belong to the user exclusively and should not be                   top-level window. Resizing the currently active top-level
accessible by any web site without user permissions. Such                  window effectively resizes the browser window. Firefox 3
resources include: user’s private data, such as clipboard                  allows an application to resize a browser window even in the
data and geolocation; user actions, such as clicking on                    presence of multiple tabs, while IE 8 and Chrome 2 do not
the forward and back button; devices, such as camera and                   allow this. A site can also open and close a top-level window
microphone; and browser UI, including the current tab                      using open and close methods. The use of open method
window (top-level window).                                                 has been mitigated through built-in popup blockers. IE 8
   Unfortunately, in today’s browsers, some of these re-                   allows any frame to close a top-level window irrespective of
sources are directly exposed to web applications through                   the origin, while Firefox 3 and Chrome 2 prevent this from
the DOM API. This breaks the fundamental rule of pro-                      happening. These capabilities allow an attacker site (even
tecting resources belonging to different principals from one               when deeply nested in the DOM hierarchy, say a malicious
another, as the user principal’s resources can be accessed                 ad) to directly interfere with the user’s experience with the
and manipulated by site principals. This can result in pri-                browser UI.
vacy compromises, information leaks, and attacks that trick                   Some of the other loopholes in browser UI have already
users into performing unintended actions. In this section,                 been fixed. For example, the status bar can no longer be set
we examine the user principal resources and describe our                   by a web site.
findings on how they may be accessed improperly by web                        3) User-private state: Jackson et al. have shown that a
applications.                                                              user’s browsing history can be exposed by inspecting the
   1) User actions: The focus and blur properties of the                   color of a visited hyperlink [21], raising privacy concerns.
window object allow web sites to change focus between the                  The hyperlink’s color is intended for the user, and it is not
windows that they opened irrespective of the origins. This                 necessary for web sites to be able to read it.
enables an attacker site to steal focus or cause the user to                  The clipboard data also belongs exclusively to the
act on a window unintentionally.                                           user principal. All versions of IE since 5.0 support
APIs to access clipboard data. A web site can get                 III. T HE W EBA NALYZER M EASUREMENT F RAMEWORK
contents of a user’s clipboard by successfully calling
window.clipboardData.getData("Text").                                To achieve consistent browser access control poli-
Depending on the default Internet security settings, the          cies, browser vendors need to remove or modify the
browser may prompt user before getting the data. However,         features that contribute to incoherencies. For exam-
the prompt does not identify the principal making the             ple, disallowing domain-setting for cookies, eliminating
request (simply using the term “this site”). As a result, a       document.domain, and removing support for access-
malicious script embedded on a third-party frame may trick        ing user principal resources are steps towards secure new
the user into giving away his clipboard because he thinks         browsers. However, this begs the question of what the cost of
that such access is being requested by the trusted top-level      these feature removals is and how many web sites will break
site.                                                             as a result. In today’s highly competitive browser market,
                                                                  backward compatibility with the existing web is paramount.
   Geolocation is one of the latest browser features that
                                                                     To help browser vendors balance security and compati-
allows a site to determine the client’s location by using the
                                                                  bility, we set off to build a measurement system to measure
navigator.geolocation [12] interface. At the time
                                                                  the cost of security. Many previous web compatibility studies
of writing, Firefox 3.5 is the only stable production browser
                                                                  have been browser-centric: they have evaluated the degree to
supporting this HTML5 feature. Geolocation is user-private
                                                                  which a given browser supports various web standards or is
data. Today’s browsers do ask user permission before access-
                                                                  vulnerable to attacks [22], [23]. In contrast, we take a web-
ing it. However, issues arise when a site embeds content
                                                                  centric perspective and actively crawl the web to look for
from multiple principals (i.e., in frames), and more than
                                                                  prevalence of unsafe browser features on existing web pages.
one origin needs access to geolocation information. The
                                                                  Compared to existing crawlers, however, static web page
geolocation dialog is active for only one origin at a time;
                                                                  inspection is insufficient. Dynamic features such as AJAX
if there is a request to access geolocation from b.com
                                                                  or post-render script events require us to actively render a
while the dialog for a.com is still active, it is ignored
                                                                  web page to analyze its behavior at run time. Moreover, the
— the principal that succeeds in invoking the geolocation
                                                                  incoherencies we identified in Section II require analysis of
dialog first wins. Therefore, if a malicious party manages to
                                                                  not just a page’s JavaScript execution [24], but also DOM
embed a script (or a frame) on the page, it can prevent the
                                                                  interactions, display layout, and protocol-layer data.
main site from triggering the geolocation dialog by invoking
the dialog first. As a result, the malicious party can create        To address these challenges, we have constructed a scal-
denial-of-service against the main site, preventing it from       able, execution-based crawling platform, called WebAna-
retrieving a user’s geolocation information. Additionally, it     lyzer, that can inspect a large number of web pages by
could trick the user into giving away location to itself rather   rendering them in an instrumented browser. The platform
than the main site (e.g., using phishing domain names like        consumes a list of URLs (defined by a human operator or
www.gooogle.com).                                                 generated by a traditional web crawler), and distributes them
                                                                  among virtual machine workers, which renders them using
   Changing document.domain also generates inconsis-
                                                                  IEWA , a specially instrumented version of Internet Explorer.
tencies. The geolocation prompt is designed to work only
                                                                  IEWA provides dynamic mediation for all browser resources,
with the original principals, and even if a site changes
                                                                  and detects when a resource invocation matches one of
identity, the prompt still displays the original domain as
                                                                  preset policy rules. Even though our framework is extensible
the requesting domain. For an example site good.a.com
                                                                  to a large variety of browser policies, we concentrate on “un-
that changes its document.domain to a.com, this causes the
                                                                  safe feature” rules derived from our analysis in Section II.
following problems:
                                                                     To build IEWA , the central piece of our measurement
  • If an attacker site evil.a.com changes its                    platform, we leverage public COM interfaces and exten-
    document.domain to a.com, it can steal position               sibility APIs exported by Internet Explorer 8. Figure 5
    information from good.a.com, if good.a.com                    shows the architecture of IEWA , which centers around three
    has stored or displayed this information in                   major interposition modules: (1) a script engine proxy, which
    a place that is accessible via the DOM (e.g.,                 provides JavaScript and DOM interposition, (2) a network
    using    parent.document.getElementById(                      proxy based on Fiddler [25], and (3) display dumper, which
    "coords").innerHTML).                                         enables custom analysis of a page’s layout as it is visible to
  • If another site evil.a.com also changes its domain            the user. Next, we discuss each module in turn.
    to a.com, it could impersonate good.a.com,                       Script engine proxy. We build on our earlier system
    by using parent.navigator.geolocation                         in MashupOS [1] to implement a JavaScript engine proxy
    .getCurrentPosition, which would trigger                      (called script engine proxy (SEP)): SEP is installed be-
    the access prompt using good.a.com, instead of                tween IE’s rendering and script engines, and it mediates
    evil.a.com.                                                   and customizes DOM object interactions. SEP exports the
                                             Figure 5.   High-Level Architecture of IEWA .



script engine API to IE’s renderer, and it exports the DOM            consecutive URLs, detects when sites fail to render (e.g.,
and rendering interfaces to IE’s script engine. Each DOM              404 errors), and recovers from any browser crashes.
object is interposed by a corresponding object wrapper.                   Visiting a site’s home page is sometimes insufficient to
When IE’s script engine asks for a DOM object from the                invoke the site’s core functionality. For example, a feature
rendering engine, SEP intercepts the request, retrieves the           may be accessed only when the user clicks on a link, types
corresponding DOM object, associates the DOM object with              search queries, or causes mouse event handlers to run.
its wrapper object inside SEP, and then passes the wrapper                It is difficult and time-consuming to fully automate a site’s
object back to the original script engine. Any subsequent             analysis to study all possible features and pages that could
invocation of wrapper object methods from the original                be invoked using all combinations of user input. Instead of
script engine passes through SEP. SEP is implemented as               aiming for complete coverage within a particular site, we
a COM object and is installed into IE by modifying IE’s               enhanced our navigation engine with simple heuristics that
JavaScript engine ID in the Windows registry.                         simulate some user interaction. After rendering a site’s home
   Network interposition. In addition to SEP, we route the            page, IEWA will find and simulate a click on at most five
browser’s network traffic through a proxy to monitor all              random links, producing five random navigation events. In
HTTP/HTTPS requests and analyze cookie transfers as well              addition, IEWA will check for presence of a search form,
as network APIs like XMLHttpRequest. Our network proxy                fill it with random keywords, and submit it. We restrict all
is implemented using the FiddlerCore interfaces provided by           simulated navigations to stay within the same origin as a
the public-domain Fiddler web debugging proxy [25], [26].             site’s home page.
   Display analysis. In order to evaluate display policies, it            These simple enhancements maintain our ability to ex-
is necessary to analyze a browser’s visual output as seen by          amine a large number of sites while adding the ability to
the user. For this purpose, we use a customized version of            properly handle many (but not all) sites with home pages
IE’s rendering engine that exposes COM interfaces to extract          that do not invoke the site’s main functionality. For example,
a textual representation of a particular page’s visual layout         we can navigate to a random article on Wikipedia, a random
at any stage of rendering. In our current evaluation, we use          video on YouTube, a random profile on MySpace, a random
these COM interfaces to save a snapshot log of IE’s display           Twitter feed, and a random search query on Google. We
after a page has fully loaded. Because some pages have                evaluate the success of this methodology against a user-
post-render events that alter layout, we wait an additional           driven browsing study in Section IV-G and discuss its
5 seconds before taking a display snapshot. Snapshot logs             limitations in Section V.
provide a mapping between a page’s objects and their layout               Performance. We deployed our system on several desktop
properties, such as position, dimensions, or transparency.            machines, each with an Intel 2.4 GHz quad-core CPU and
They can be analyzed offline for the presence of unsafe               4 GB of RAM. Our IEWA workers run inside a Windows
frame overlapping behavior or other dangerous page layouts.           Vista VMware virtual machine to prevent malware infection.
   Navigation. To facilitate automatic analysis for a large           We executed multiple workers in each VM, isolating them
number of URLs, IEWA includes a URL navigation en-                    from one another using different UIDs and different remote
gine, which utilizes IE’s extensibility interfaces, such as           desktop sessions.
IWebBrowser2, to completely automate the browser’s nav-                   On such a setup, one IEWA worker is able to analyze about
igation. In addition to pointing the browser to new URLs,             115 typical web sites per hour. Each site’s processing time
this module also cleans up state such as pop-ups between              includes the home page, five random link clicks, and one
form submission, as well as overheads introduced by IEWA ’s         Tables IV, V, and VI present the results of our analysis,
three interposition modules. We found that we could execute       showing how frequently each feature we analyzed earlier is
up to eight parallel workers in one VM, for a throughput of       encountered. Next, we organize our findings according to
900 sites per VM, before saturating the CPU. Optimizing           our discussion in Section II and discuss their implications
this infrastructure for performance was not a goal of this        on future browser security policies.
paper and is left as future work.
                                                                  B. The interplay of browser resources
               IV. E XPERIMENTAL R ESULTS
                                                                     1) DOM and Cookies: Cookie usage is extremely pop-
  Our analysis in Section II provides an understanding of the     ular, and so is their programmatic DOM access via
security characteristics of the current access control policies   document.cookie, which we found on 81% web sites
in browsers. In this section, we complete the other half          for reading and 76% of web sites for writing cookie values,
of the equilibrium by using the measurement infrastructure        respectively. The use of the cookie’s domain attribute is
presented in Section III to study the prevalence of unsafe        also widespread (67% of sites), with about 46% of sites
browser features (analyzed in Section II) on a large set of       using it to actually change the domain value of the cookie.
popular web sites. By presenting both sides, we enable the        As a result, the issues described in Section II-C1 cannot
browser vendors to make more informed decisions about             be solved by simply deprecating the usage of this attribute
whether or not to continue supporting a particular unsafe         and changing the principal definition of cookies. One pos-
feature based on its real-world usage.                            sible approach to solve the inconsistency issue with cookie
                                                                  handling is to tag the cookie with the origin of the page
A. Experimental overview                                          setting the cookie. This information should be passed to the
   1) Choosing the sites for analysis: Instead of randomly        server to allow the server to differentiate between duplicate
crawling the web and looking for unsafe features, we de-          cookies.
cided to focus our attention on the “interesting” parts of the       Section II-C1 also identified inconsistencies pertaining
web that people tend to visit often. Accordingly, to seed our     to cookies and HTTP/HTTPS, which we now support
analysis, we take the set of 100,000 most popular web sites       with measurements. First, 0.07% of sites alarmingly send
ranked by Alexa [5], as seen on November 9, 2009, as our          secure cookies over HTTP. This effectively tampers with
representative data set. The data collection and analysis were    the integrity of cookies that may have been intended for
completed in the last week of February 2010.                      HTTPS sessions [10]. Fortunately, it appears that this func-
   2) Defining the compatibility cost: We define the cost of      tionality can be disallowed with little cost. Surprisingly, a
removing a feature to be the number of Alexa-ranked, top          much larger number of sites (5.48%) sent HTTP cookies
100,000 sites that use the feature.                               over HTTPS. The HTTP cookies cannot be kept confidential
   We conservatively assume that disallowing a feature will       and are accessible to HTTP sessions. Our recommended
significantly hinder a site’s functionality, whereas it could     solution to this problem is that the “secure” flag should be
simply cause a visual nuisance. A more detailed analysis on       enforced for any cookies passed over an HTTPS connection
the effect of policy changes on page behavior is promising        even if the web developer fails to set the flag. This would
but is left as future work.                                       still enable the HTTPS site to access the cookie for its own
   3) High-level results: We obtained our results by ren-         functionality and any sharing with the HTTP site should be
dering each of the 100,000 seed links using WebAnalyzer,          done explicitly.
saving all interposition logs for offline analysis. This way,        We found a large number of sites (16.2%) using HttpOnly
we were able to obtain data for 89,222 of the 100,000 sites.      cookies, which is an encouraging sign — many sites appear
There are several reasons why no data was produced for the        to be tightening up their cookie usage to better resist XSS
rest of sites. First, some sites could not be accessed at the     attacks.
time of our analysis due to failed DNS lookups, “404 Not             2) Cookies and XMLHttpRequest: Our measurements
Found” errors, and other similar access problems. Second,         show that the issues arising from undesirable interplay of
some sites timed out within our chosen threshold interval of      XMLHttpRequest and HttpOnly cookies (Section II-C2)
2 minutes, due to their slow or continuous rendering. We          can possibly be eliminated, since very few sites (0.30%)
decided to drop any such sites from our analysis. Finally,        manipulate cookie headers in XMLHttpRequest responses.
some sites did not contain any JavaScript code, and as a             3) DOM and Display: Section II-C3 argued that the
result they did not trigger our event filters. Nonetheless, we    descendant navigation policy is at conflict with SOP for
believe that we have been able to analyze a sufficiently large    DOM. We observe iframe navigations on 7.7% of sites and
set of sites with a reasonable success ratio, and our data set    all of them are child navigation (regardless of the origin).
and the scope of measurement is much larger than that used        The absence of descendant navigation in the top 100,000
by earlier related studies [24].                                  sites indicates a potentially very low cost to remove it.
                                                                                              Total instances          Unique sites
           Measurement Criteria
                                                                                                      (count)      Count    Percentage
           document.cookie (read)                                                                    5656310       72587        81.36%
           document.cookie (write)                                                                   2313359       68230        76.47%
           document.cookie domain usage (read)                                                       2032522       59631        66.83%
           document.cookie domain usage (write)                                                      1226800       41327        46.32%
           Secure cookies over HTTP                                                                       259         62          0.07%
           Non-secure cookies over HTTPS                                                               15589        4893          5.48%
           Use of “HttpOnly” cookies                                                                   33180       14474        16.22%
           Frequency of duplicate cookies                                                             159755        4955          5.55%
           Use of XMLHttpRequest                                                                       19717        4631           5.2%
           Cookie read in response of XMLHttpRequest                                                     1261        265          0.30%
           Cross-origin descendant navigation (reading descendant’s location)                            6043         61          0.07%
           Cross-origin descendant navigation (changing descendant’s location)                              0          0          0.00%
           Child navigation (parent navigating direct child)                                           22572        6874           7.7%
           document.domain (read)                                                                    1253274       63602        71.29%
           document.domain (write)                                                                       8640       1693          1.90%
           Use of cookies after change of effective domain                                            295960        1569          1.76%
           Use of XMLHttpRequest after change of effective domain                                         225         87          0.10%
           Use of postMessage after change of effective domain                                              0          0          0.00%
           Use of localStorage after change of effective domain                                            42         10          0.01%
           Use of local storage                                                                          1227        169          0.19%
           Use of session storage                                                                           0          0          0.00%
           Use of fragment identifier for communication                                                  5192       3386          3.80%
           Use of postMessage                                                                            6523        845          0.95%
           Use of postMessage (with no specified target)                                                    0          0          0.00%
           Use of XDomainRequest                                                                          527        125          0.14%
           Presence of JavaScript within CSS                                                          224266        4508          5.05%
                                                             Table IV
              U SAGE OF VARIOUS BROWSER FEATURES ON POPULAR WEB SITES (F EBRUARY 2010). A NALYSIS INCLUDES 89,222 SITES .



                              Sites containing at least one <iframe>                                        36549 (40.8%)
                              Average number of <iframe>’s per site                                                    3.2
                              Sites with at least one pair of overlapping frames                              5544 (6.2%)
                              Sites with at least one pair of overlapping cross-origin frames                 3786 (4.2%)
                              Sites with at least one pair of transparent overlapping frames                  1616 (1.8%)
                              Sites with at least one pair of transparent overlapping cross-origin frames     1085 (1.2%)
                                                            Table V
     S UMMARY OF DISPLAY LAYOUTS OBSERVED FOR THE TOP 100,000 A LEXA WEB SITES (D ECEMBER 2009). 89,483 SITES WERE RENDERED
                                       SUCCESSFULLY AND ARE INCLUDED IN THIS ANALYSIS .




   In addition, we have analyzed the visual layouts of all sites                at least one overlapping pair of iframes — but only 29%
to determine whether there are dangerous pixel interplays                       of these overlaps involved transparent iframes. Most (68%)
between windows of different principals (Section II-C3). Our                    overlapping scenarios involve different principals.
results are summarized in Table V1 . We found that 41% of                          The most dangerous situations occur when a transparent
sites embed at least one iframe, and the average number of                      frame is overlaid on top of a frame belonging to a dif-
iframes embedded on a particular page is 3.2. Overlapping                       ferent principal (Section II-C3). We identified 1,085 sites
iframes appear to be common — 6.2% of sites contained                           (1.2%) that contained at least one pair of transparent, cross-
                                                                                origin overlapping iframes. We observed that most of these
   1 Our display analysis was performed in December 2009, separately from
                                                                                overlaps involved domains serving ad banners, so the main
script engine and network analysis that we performed in February 2010,
causing a slight difference in the number of successfully rendered sites in     site functionality might remain unaffected if the dangerous
Tables V and IV.                                                                transparency is disallowed.
                                                                  Total instances       Unique sites
                         Measurement Criteria
                                                                          (count)   Count    Percentage
                         Setting top-level window’s location               55759     2851          3.20%
                         Change focus of window                              5221    2314          2.59%
                         Reading color of hyperlinks                       82587     1560          1.75%
                         Accessing browser’s history                         1910     721          0.81%
                         Use of defaultStatus (write)                        1576     241          0.27%
                         Reading user’s Geolocation                           251     149          0.17%
                         Use of resizeTo                                      339     134          0.15%
                         Use of defaultStatus (read)                          528     108          0.12%
                         Use of moveTo                                        258     100          0.11%
                         Close a window                                       130      86          0.10%
                         Access to user’s clipboard                            24      17          0.02%
                         Blur a window                                         54      13          0.01%
                         Use of resizeBy                                       13       8          0.01%
                         Use of moveBy                                          4       1          0.00%
                         Use of outerWidth                                      2       1          0.00%
                         Use of outerHeight                                     4       1          0.00%
                                                          Table VI
        P REVALENCE OF RESOURCES BELONGING TO THE USER PRINCIPAL ON POPULAR WEB SITES . A NALYSIS INCLUDES 89,222 SITES .




   Summary. We found that interplays between DOM and                 document.domain completely carries a substantial
cookies have a high compatibility impact, while removing             cost (1.9% of sites), browsers can eliminate its impact on
the interplays between cookies and XMLHttpRequest would              XMLHttpRequest, local storage, and postMessage at a much
affect only 0.30% of sites. For interplays related to display,       lower cost (0.19% of sites total). On the flip side, browser
we found that descendant navigation can be disallowed                vendors have to make a much tougher choice (affecting
with no cost, while disallowing overlaps between transparent         1.76% of sites) to prevent effective UID inconsistencies
cross-origin frames would affect 1.2% of sites.                      pertaining to cookies.
                                                                     D. Resources belonging to the user principal
C. Changing effective Principal ID
                                                                        Table VI shows the results of our analysis for the cost of
   In Section II-D, we showed that document.domain is                protecting user-owned resources discussed in Section II-E.
an unsafe and undesirable part of today’s web, as observed           The cost of tightening access control for user resources
by others as well [9]. Unfortunately, we found its usage on          appears to be low with the exceptions of link-color access
the web to be significant: 1.9% of sites change their effective      (1.8%), the focus-changing functions (2.6%), and setting
domain via document.domain.                                          top-level window location (3.2%).
   We mentioned certain features which become incoherent                Interestingly, 149 sites (0.17%) already use the new
when combined with document.domain. Cookies are                      Geolocation primitives [12]. This number seems low enough
accessed by about 1.76% of the sites after a change in               for browsers to take actions to tighten its access control.
effective domain, making it difficult to enforce a unified              Overall, we found that 12 of the 16 user-principal APIs
effective domain for cookie access (Section II-D1). Only             we examined can be removed while collectively affecting
0.08% of sites use XMLHttpRequest after an effective UID             only 0.80% of unique sites.
change (Section II-D2), so it appears possible to make
XMLHttpRequest respect effective domain with little cost.            E. Other noteworthy measurements
The same holds true for postMessage — we found no                       We measured prevalence of some primitives for cross-
sites using postMessage after an effective UID change. The           frame and cross-window communication, which are critical
new local storage abstractions are not widespread — only             for cross-principal security. Fragment identifier messaging
0.19% of the sites were using localStorage (0.01%                    is most popular, being found at 3.8% of sites. A non-
after an effective domain change), and no sites were us-             negligible number (0.95%) of sites have already adopted
ing sessionStorage — so we anticipate that origin-                   postMessage, and all sites use its newer definition that
changing weaknesses that we outlined in Section II-D4 can            requires specifying the target window [13]. Another safer
be removed with little compatibility cost.                           alternative for cross-domain communication, XDomainRe-
   Summary.           Overall,        while       disallowing        quest, is also being slowly adopted (0.14%).
      100
                                                                              defaultStatus (read)
                document.domain mutation                                     defaultStatus (write)
                PostMessage                                                              moveTo
                Frame Identifier Messaging                                               resizeBy
      80                                                                                 resizeTo
                                                                                          location
                                                                                              blur
                                                                                             focus
      60                                                                                     close
                                                                                      geolocation
CDF




                                                                                        clipboard
                                                                                             color
      40                                                                                    history

                                                                                                      1   10         100     1000    10000   100000
                                                                                                               Popularity Ranking (log)
      20
                                                                        Figure 7. A CDF for prevalence of user-owned resources according to the
                                                                        ranking of sites that use them.
       0
            0    20000           40000       60000     80000   100000
                          Sites ranked by popularity

Figure 6. A CDF for prevalence of cross-frame communication mecha-      G. Methodology validation using user-driven analysis
nisms according to the ranking of sites that use them.
                                                                           In the previous sections, we examined sites by visiting
                                                                        their home pages and relying on WebAnalyzer’s heuristics
                                                                        (see Section III) to simulate a few basic user actions to
  Using JavaScript within CSS has long been considered                  invoke additional functionality that may be hidden behind
dangerous [9]. We found this pattern in use on about 5% of              “splash” home pages. However, our methodology may miss
the sites.                                                              site functionality that requires user login forms (e.g., on
                                                                        Facebook), other more sophisticated user event handlers
                                                                        (e.g., mouse movements), or following many links away
F. Correlating unsafe features and site popularity                      from the home page. In general, it is very difficult, if not
                                                                        impossible, to simulate user actions that open access to
   Next, we consider how the popularity of sites correlates             representative features of an arbitrary site.
with prevalence of unsafe features. A policy is more costly                To evaluate the limitations of our heuristics-driven ap-
to correct if it is used by very highly ranked sites, since more        proach, we conducted a user-driven examination of the top
people would visit them and encounter broken functionality.             100 Alexa sites. To do this, one of the authors manually
Fortunately, we found that most features do not exhibit                 visited these sites with IEWA and used his best judgement
a significant popularity bias, behaving uniformly with no               to invoke the site’s representative functionality. For example,
regard to a site’s popularity. Nevertheless, we found some              for analyzing Facebook, the author logged into his Facebook
exceptions. Figure 6 shows a CDF of the usage of various                account, browsed through several profiles, and invoked sev-
mechanisms that could be used for cross-frame communica-                eral applications such as photo viewing or messaging.
tion according to the sites’ ranking. Interestingly, fragment              We then compared the results obtained through this man-
identifier messaging has little dependence on popularity,               ual analysis to those obtained using WebAnalyzer for the
document.domain tends to be used more by higher-                        same sites. Table VII summarizes the results of our compar-
ranked sites, and postMessage is found more on lower-                   ison. We observe that the numbers of sites using a particular
ranked sites, with very little use in the top 2000 sites. This          feature are mostly comparable, providing confidence that our
went against our hypothesis that higher-ranked, high-profile            heuristic-driven navigation engine in WebAnalyzer works
sites would likely be written using the latest and safest web           well in practice. Some features have higher prevalence
standards. A possible explanation could be that the top sites           with the user-driven analysis, as expected, but there are
are motivated to use features compatible with the largest               only a couple of outliers. For example, Geolocation was
number of browsers and client platforms.                                found on nine sites, all found on multilingual versions of
   As another example, Figure 7 diagrams the prevalence of              maps.google.com. In manual analysis, the user invoked
resources belonging to the user principal according to the              maps on each of the nine versions of the Google site,
ranking of the sites that use them (a dot is displayed for              where WebAnalyzer randomly picked and followed the link
every site using a particular feature). Some features, such             to Maps on three of these sites. On the other hand, on
as resizeBy or clipboard access, are only found on very                 several occasions, WebAnalyzer also found features that
low-ranked sites and are thus good candidates to remove                 were missed by manual analysis, as can be seen in higher
with little impact. Only a handful of features appear in the            prevalence for features like reading document.domain.
top 100 sites, where compatibility cost is very high for any            This can happen when WebAnalyzer navigates to a link
site.                                                                   that the user did not examine as part of representative
                                                                                          Number of sites
                 Measurement Criteria
                                                                                       WebAnalyzer    Manual
                 document.cookie (read)                                                         93        86
                 document.cookie (write)                                                        86        76
                 document.cookie domain usage (read)                                            78        70
                 document.cookie domain usage (write)                                           59        59
                 Secure cookies over HTTP                                                        0         2
                 Non-secure cookies over HTTPS                                                  11         8
                 Use of “HttpOnly” cookies                                                      27        30
                 Frequency of duplicate cookies                                                 17         8
                 Use of XMLHttpRequest                                                          32        28
                 Cookie read in response of XMLHttpRequest                                       0         0
                 Cross-origin descendant-navigation (reading descendant’s location)              0         0
                 Cross-origin descendant-navigation (changing descendant’s location)             0         0
                 Child navigation (parent navigating direct child)                               1         2
                 document.domain (read)                                                         78        59
                 document.domain (write)                                                        18        19
                 Use of cookies after change of effective domain                                18        19
                 Use of XMLHttpRequest after change of effective domain                          4         2
                 Use of localStorage after change of effective domain                            2         1
                 Use of session storage                                                          0         0
                 Use of local storage                                                            4         3
                 Use of fragment identifier for communication                                    0         1
                 Use of postMessage                                                              1         1
                 Use of XDomainRequest                                                           1         2
                 Presence of JavaScript within CSS                                              16        27
                 Setting top-level window’s location                                             1         2
                 Change focus of window                                                          2         2
                 Reading user’s Geolocation                                                      3         9
                                                              Table VII
C OMPARISON OF USER - DRIVEN ANALYSIS VS . W EBA NALYZER FOR THE TOP 100 A LEXA SITES . F EATURES NOT SHOWN HERE WERE USED BY ZERO
                                     SITES FOR BOTH USER - DRIVEN AND W EBA NALYZER STUDIES .




functionality on a given site. Overall, we felt our heuristics-     new one identified 32 such pages (see Table VII). One of
driven approach achieved good coverage, though larger-scale         the reasons is that many search sites use XMLHttpRequest
user-driven measurements would still be very valuable in            to auto-complete the search string as users type it; our old
complementing WebAnalyzer measurements.                             system did not trigger this behavior, whereas our new system
                                                                    triggered it when auto-filling the search textbox. Many other
            V. D ISCUSSION AND LIMITATIONS                          features showed a similarly dramatic jump in prevalence.
   Benefits of heuristics-driven automated crawling. In                Limits of automated crawler-based measurements. Al-
our original design, WebAnalyzer visited only the top-              though we believe that our resulting measurements provide a
level page of each site we studied. We quickly realized             good representation of the use of browser features on popular
that this analysis failed for sites that hide much of their         web sites, it is likely that we missed certain features because
functionality behind “splash” home pages. This became most          the code path to invoke them was not triggered in our
apparent when studying the original results for Table VII. We       analysis. For example, sites like Facebook or banks require a
observed that for many sites, clicking on a link or filling out     user to sign in, game sites require particular mouse gestures
a search form on the home page would expose a noticeably            to invoke certain behavior, and numerous sites require appro-
larger (though still not complete) set of functionality. Thus,      priate text (such as stock symbols or user’s personal data) to
we augmented WebAnalyzer with simple heuristics that                be entered into forms. Even if we could solve some of these
imitate this user behavior (see Section III).                       problems, for example by enumerating all events registered
   As an example, our original system saw XMLHttpRequest            on a page or using a database of dummy usernames and
calls on only 13 pages of the top 100 pages, whereas the            passwords [27], automatically invoking certain features, such
as buying products on shopping sites, is inappropriate. This      of these other segments of the web as important future work.
ultimately limits our ability to explore all features invoked
on today’s web.                                                                       VI. R ELATED W ORK
   We also did not try to exhaustively crawl each site. Even in      We are not the first to find and analyze flaws in browser
our user-driven analysis (Section IV-G), we did not attempt       security policies. Previous work has looked at weaknesses in
to enumerate and invoke all gadgets on every page of each         cross-frame communication mechanisms [13], frame naviga-
site. Thus, the results we collect for a particular site cannot   tion policies [3], [13], client-side browser state [21], cookie
be used as a list of all features the site might have. Our aim    path protection [28], protection among documents within
was to favor breadth over depth and obtain good coverage          same origin [2], display protection [3], and other issues.
for the representative features of 100,000 sites we tested.       Zalewski [9] documents the security design in browsers
While our infrastructure could also be used for exhaustively      including some loopholes. This work complements these
crawling each site, we would need to dramatically scale up        efforts by identifying incoherencies in browser’s access
our current infrastructure to cover a comparable number of        control policies. To our knowledge, this is the first principal-
sites, and we leave this as future work.                          driven analysis on browsers’ access control policies.
   Picking the right browser. Some sites check the client’s          DOM access checker [22] is a tool designed to au-
browser version (using the user-agent header) before de-          tomatically validate numerous aspects of domain security
ciding to invoke a particular code path. Although not a           policy enforcement (cross-domain DOM access, JavaScript
base requirement, we developed WebAnalyzer with IE as             cookies, XMLHttpRequest calls, event and transition han-
the underlying browser. This could prevent code invocations       dling) to detect common security attacks or information
that are intended for non-IE browsers, thereby leading to         disclosure vectors. Browserscope [29] is a community-driven
missed features. For example, XMLHttpRequest2 [15] is             project for tracking browser functionality. Its security test
currently not supported by IE, and it would be missed             suite [23] checks whether new browser security features
by WebAnalyzer if the site invokes it only after verifying        are implemented by a browser. In our analysis of access
browser support.                                                  control policies, we uncovered incoherencies by examining
   A related problem is fallback code that invokes an alter-      the interplay between resources, runtime identity changes,
native implementation of a feature that a browser doesn’t         and the user principal’s resource access control. This focus
support. For example, a site could first check whether the        and methodology differ from this previous or ongoing work,
browser supports postMessage for cross-frame commu-               and our analysis not only touches on DOM, but also on the
nication, and fall back on fragment identifier messaging if it    HTTP network layer and display. Nevertheless, we plan to
does not. Because we use IE 8, we will log that this site uses    contribute our test programs to one of these test suites.
postMessage, but older browsers would utilize fragment               Compared to previous work, a unique aspect of this
identifier messaging.                                             work is our extensive evaluation of the cost of removing
   The compatibility cost of features invoked in browser-         unsafe policies from the current web by actively crawling
dependent code paths depends not only on the number               and executing web content. Yue et al. [24] also used a
of web sites using a feature, but also on the number of           crawling-based, execution-based approach to measure the
visitors utilizing a particular browser that relies on such       prevalence of unsafe JavaScript features on 6805 popular
code. Evaluating the second part of this cost is orthogonal       web sites. They used a JavaScript interposition technique
to our goals in this paper: rather than exploring prevalence      that is similar to IEWA ’s script engine proxy, but they
of features on web sites, it asks how many of a web site’s        lack IEWA ’s network and display interposition capabilities,
clients rely on a particular browser. Web server operators        limiting the policies they can monitor. As well, we present
can easily answer this question by profiling “user-agent”         results from a significantly larger dataset.
strings in incoming HTTP requests. As future work, we                Our active crawling infrastructure builds on previous
can integrate other browsers into WebAnalyzer, or we can          efforts that have analyzed safety of web pages by rendering
modify IEWA to render a site with a set of user-agent strings     them in real browsers running within virtual machines [30]–
representing other browsers; this would capture a more            [34]. We extend these frameworks with additional browser
complete set of the site’s code.                                  interposition support to monitor unsafe browser security
   Studying other web segments. Our focus on the top              policies.
100,000 sites represents a particular segment of the web
with a good balance of the very top sites and some of the                             VII. C ONCLUSIONS
less popular “tail”. However, this still covers only a tiny          In this paper, we have examined the current state of
fraction of the billions of pages on today’s web. In addition,    browser access control policies and analyzed the incoheren-
our analysis excluded intranet sites, which are hidden from       cies that arise when browsers mishandle their principals
traditional crawlers, and which can influence backwards           by (1) inconsistently labeling resources with principal IDs,
compatibility decisions for a browser. We leave exploration       (2) inappropriately handling principal identity changes via
document.domain, and (3) neglecting access control for               [16] “Mitigating Cross-site Scripting With HTTP-only Cookies,”
certain resources belonging to the user principal. In addition            http://msdn2.microsoft.com/en-us/library/ms533046.aspx.
to pointing out these incoherencies, we have developed a                  Accessed on Nov. 14, 2009.
                                                                     [17] “HttpOnly,”      http://www.owasp.org/index.php/HTTPOnly.
web compatibility analysis infrastructure and measured the                Accessed on Nov. 14, 2009.
cost of removing many unsafe policies we identified for a            [18] “Mozilla     Foundation      Security     Advisory     2009-05:
large set of popular web sites. Overall, this work contributes            XMLHttpRequest allows reading HTTPOnly cookies,” http://
to the community’s understanding of browser access control                www.mozilla.org/security/announce/2009/mfsa2009-05.html.
policies, and it provides the much-needed answer to the                   Accessed on Nov. 14, 2009.
                                                                     [19] “Clickjacking,” http://en.wikipedia.org/wiki/Clickjacking.
browsers’ compatibility vs. security dilemma by identifying          [20] “Whats New in Internet Explorer 8,” 2008, http://
unsafe policies that can be removed with little compatibility             msdn.microsoft.com/en-us/library/cc288472.aspx. Accessed
cost.                                                                     on Nov. 14, 2009.
                                                                     [21] C. Jackson, A. Bortz, D. Boneh, and J. C. Mitchell, “Protect-
                    ACKNOWLEDGEMENT                                       ing Browser State from Web Privacy Attacks,” in Proceedings
We would like to thank Xiaofeng Fan, Yutaka Suzue, and                    of the 15th International Conference on World Wide Web
                                                                          (WWW), Edinburgh, Scotland, May 2006.
Carl Edlund for their valuable help during the implementa-
                                                                     [22] M. Zalewski and F. Almeida, “Browser DOM Access Checker
tion of this work. We would also like to acknowledge Collin               1.01,” http://lcamtuf.coredump.cx/dom checker/. Accessed
Jackson and David Wagner for their helpful discussions.                   on Nov. 14, 2009.
We also thank the anonymous reviewers and our shepherd               [23] C. Jackson and A. Barth, “Browserscope Security
Michael Locasto for their valuable comments.                              Test         Suite,”         http://mayscript.com/blog/collinj/
                                                                          browserscope-security-test-suite. Accessed on Nov. 14,
                         R EFERENCES                                      2009.
                                                                     [24] C. Yue and H. Wang, “Characterizing Insecure JavaScript
 [1] H. J. Wang, X. Fan, J. Howell, and C. Jackson, “Protec-              Practices on the Web,” in Proceedings of the 18th Inter-
     tion and Communication Abstractions for Web Browsers in              national Conference on World Wide Web (WWW), Madrid,
     MashupOS,” in Proceedings of the 21st ACM Symposium on               Spain, Apr. 2009.
     Operating Systems Principles (SOSP), Stevenson, WA, Oct.        [25] E. Lawrence, “Fiddler web debugging tool,” http://www.
     2007.                                                                fiddler2.com/fiddler2/. Accessed on Nov. 14, 2009.
 [2] C. Jackson and A. Barth, “Beware of Finer-Grained Origins,”     [26] “FiddlerCore,”           http://fiddler.wikidot.com/fiddlercore.
     in Web 2.0 Security and Privacy (W2SP), Oakland, CA, May             Accessed on Nov. 14, 2009.
     2008. [Online]. Available: http://seclab.stanford.edu/websec/   [27] “BugMeNot,” http://www.bugmenot.com/. Accessed on Mar.
     origins/fgo.pdf                                                      1, 2010.
 [3] H. J. Wang, C. Grier, A. Moshchuk, S. T. King, P. Choudhury,    [28] M. O’Neal, “Cookie Path Best Practice,” http://research.
     and H. Venter, “The Multi-Principal OS Construction of the           corsaire.com/whitepapers/040323-cookie-path-best-practice.
     Gazelle Web Browser,” in Proceedings of the 18th USENIX              pdf. Accessed on Nov. 14, 2009.
     Security Symposium, Montreal, Canada, Aug. 2009.                [29] “Browserscope,” http://www.browserscope.org/. Accessed on
 [4] J. Ruderman, “Same Origin Policy for JavaScript,”                    Nov. 14, 2009.
     http://www.mozilla.org/projects/security/components/            [30] A. Moshchuk, T. Bragin, S. D. Gribble, and H. M. Levy, “A
     same-origin.html. Accessed on Nov. 14, 2009.                         Crawler-based Study of Spyware on the Web,” in Proceedings
 [5] “Alexa,” http://www.alexa.com/.                                      of the 13th Annual Network and Distributed Systems Security
 [6] “Document Object Model,” http://www.w3.org/DOM/. Ac-                 Symposium (NDSS), San Diego, CA, Feb. 2006.
     cessed on Nov. 14, 2009.                                        [31] Y.-M. Wang, D. Beck, X. Jiang, R. Roussev, C. Verbowski,
 [7] D. Kristol and L. Montulli, “HTTP State Management Mech-             S. Chen, and S. King, “Automated Web Patrol with Strider
     anism,” in IETF RFC 2965, Oct. 2000.                                 HoneyMonkeys,” in Proceedings of the 13th Network and
 [8] D. Flanagan, Javascript: The Definitive Guide. O’Reilly              Distributed System Security Symposium (NDSS), San Diego,
     Media Inc., 2006.                                                    CA, Feb. 2006.
 [9] M. Zalewski, “Browser Security Handbook,” 2008, http://         [32] N. Provos, P. Mavrommatis, M. Rajab, and F. Monrose,
     code.google.com/p/browsersec/wiki/Main. Accessed on Nov.             “All Your iFrames Point to Us,” in Proceedings of the 17th
     14, 2009.                                                            USENIX Security Symposium, San Jose, CA, Jul. 2008.
[10] A. Barth, “HTTP State Management Mechanism,”                    [33] N. Provos, D. McNamee, P. Mavrommatis, K. Wang, and
     IETF Draft 2109, Feb 2010, http://tools.ietf.org/html/               N. Modadugu, “The Ghost in the Browser: Analysis of Web-
     draft-ietf-httpstate-cookie-03.                                      Based Malware,” in Proceedings of the 1st Workshop on Hot
[11] C. Jackson and A. Barth, “ForceHTTPS: Protecting High-               Topics in Understanding Botnets (HotBots), Berkeley, CA,
     Security Web Sites from Network Attacks,” in WWW, 2008.              USA, 2007.
[12] “HTML 5 Editor’s Draft,” October 2008, http://www.w3.org/       [34] A. Moshchuk, T. Bragin, D. Deville, S. D. Gribble, and H. M.
     html/wg/html5/.                                                      Levy, “SpyProxy: Execution-based Detection of Malicious
[13] A. Barth, C. Jackson, and J. C. Mitchell, “Securing Frame            Web Content,” in Proceedings of the 16th USENIX Security
     Communication in Browsers,” in Proceedings of the 17th               Symposium, Boston, MA, Aug. 2007.
     USENIX Security Symposium, San Jose, CA, Jul. 2008.
[14] “XMLHttpRequest,”                      http://www.w3.org/TR/
     XMLHttpRequest/. Accessed on Nov. 14, 2009.
[15] “XMLHttpRequest         Level   2,” http://www.w3.org/TR/
     XMLHttpRequest2/. Accessed on Nov. 14, 2009.
