--- type: Article title: "Extension Breakdown: Security Analysis of Browsers Extension Resources Control Policies" resource: "https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/sanchez-rola" tags: [article, webseclist-reference, en, usenix-org] generated: by: webseclist-refs/1 at: "2026-08-19T16:42:56+00:00" status: stable stale_after: 2027-08-19 sources: - id: original resource: "https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/sanchez-rola" title: "Extension Breakdown: Security Analysis of Browsers Extension Resources Control Policies" author: Iskander Sanchez-Rola, Igor Santos, Davide Balzarotti - id: capture resource: "https://web.archive.org/web/20171226091350/https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/sanchez-rola" also_at: - "https://www.usenix.org/system/files/conference/usenixsecurity17/sec17-sanchez-rola.pdf" - "https://www.usenix.org/sites/default/files/conference/protected-files/usenixsecurity17_slides_sanchez-rola.pdf" authors: - Iskander Sanchez-Rola - Igor Santos - Davide Balzarotti canonical_url: "" cited_by: - "2016-17.md:102" commit: "" content_sha256: d1f3147e743939c286a62f035a573586b3fca9886353730e9871deedc825e7b0 depth: full depth_reason: default kind: article language: en licence: unknown original_url: "https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/sanchez-rola" published: "" publisher: usenix.org publisher_english: "" raw_sha256: 83cd15c163a3154d1c529ae4fda676d78ea0c40add5549ad418a1b9ffb677bb4 retrieved_from: "https://www.usenix.org/system/files/conference/usenixsecurity17/sec17-sanchez-rola.pdf" retrieved_kind: live retrieved_utc: "2026-08-19T16:42:56+00:00" slug: usenix-org-extension-breakdown-security-analysis-browsers-extension-policies snapshot: 20171226091350 title_english: "" translation_file: "" translation_of: "" --- # Extension Breakdown: Security Analysis of Browsers Extension Resources Control Policies **Extension Breakdown: Security Analysis of Browsers Extension Resources Control Policies** - Iskander Sanchez-Rola, Igor Santos, Davide Balzarotti, usenix.org. - Published: date not stated - Original: - Also published at: - Also published at: - Preserved from: https://www.usenix.org/system/files/conference/usenixsecurity17/sec17-sanchez-rola.pdf (live) on 2026-08-19 - Capture timestamp: 20171226091350 - Licence: unknown Rights remain with the original author and publisher. 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Extension Breakdown: Security Analysis of Browsers Extension Resources Control Policies Iskander Sanchez-Rola and Igor Santos, DeustoTech, University of Deusto; Davide Balzarotti, Eurecom https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/sanchez-rola This paper is included in the Proceedings of the 26th USENIX Security Symposium August 16–18, 2017 • Vancouver, BC, Canada ISBN 978-1-931971-40-9 Open access to the Proceedings of the 26th USENIX Security Symposium is sponsored by USENIX Extension Breakdown: Security Analysis of Browsers Extension Resources Control Policies Iskander Sanchez-Rola Igor Santos Davide Balzarotti Deustotech, Deustotech, Eurecom University of Deusto University of Deusto Abstract Unfortunately, extensions are also prone to misuse. In fact, due to their close relationship to the browser envi- All major web browsers support browser extensions to ronment, they can be abused by an adversary in order add new features and extend their functionalities. Never- to gather a wide range of private information — such theless, browser extensions have been the target of sev- as cookies, browsing history, system-level data, or even eral attacks due to their tight relation with the browser user passwords [7]. Due to this raising concern, the environment. As a consequence, extensions have been amount of research studying the security implications abused in the past for malicious tasks such as private in- and vulnerabilities of browser extensions has rapidly in- formation gathering, browsing history retrieval, or pass- creased in the last years [3, 4, 8, 10, 18, 21, 25]. words theft — leading to a number of severe targeted attacks. When browser extensions were first introduced, web- Even though no protection techniques existed in the sites were able to access all their local resources. As a past to secure extensions, all browsers now implement consequence, malicious actors started to use that freely- defensive countermeasures that, in theory, protect ex- accessible data to enumerate the extensions a user has tensions and their resources from third party access. In installed in her system, or even to exploit vulnerabilities this paper, we present two attacks that bypass these con- within installed extensions [23]. To mitigate this increas- trol techniques in every major browser family, enabling ing threat, Firefox introduced the contentaccessible enumeration attacks against the list of installed exten- flag and Chrome a new manifest version [16] to imple- sions. In particular, we present a timing side-channel ment some form of access control over the extension re- attack against the access control settings and an attack sources. In the rest of the paper we will refer to these that takes advantage of poor programming practice, af- security measures as access control settings. Developers fecting a large number of Safari extensions. Due to the of Safari decided to adopt a different mechanism, which harmful nature of our findings, we also discuss possible consists in randomizing at runtime part of the extension countermeasures against our own attacks and reported URI [2]. We will refer to this second class of protection our findings and countermeasures to the different actors technique as URI randomization. involved. We believe that our study can help secure cur- Information of the web browser has been used for a rent implementations and help developers to avoid simi- number of malicious or “questionable” purposes. For lar attacks in the future. example, Panopticlick [12] creates a unique browser fin- gerprint using the installed fonts, among other features. 1 Introduction PluginDetect [14] retrieves instead the list of plugins in- stalled in the browser. Even worse, this technique has Browser extensions are the most popular technique cur- recently been used in two reported fingerprinting-driven rently available to extend the functionalities of modern malware campaigns [33, 37]. web browsers. Extensions exist for most of the browser Thanks to the existing browser security countermea- families, including major web browsers such as Firefox, sures described above, so far extensions were protected Chrome, Safari, and Opera. They can be easily down- against these fingerprinting techniques. Two very simple loaded and installed by users from a central repository enumeration attacks were recently proposed to retrieve a (such as the Chrome Web Store [15] or the Firefox Add small number of installed extensions in the browsers that Ons [26]). adopted access control settings [6, 20]. These techniques USENIX Association 26th USENIX Security Symposium 679 took advantage of accessible resources of the extensions design or testing phase. As a result, our study is present in Chrome and Firefox to identify a small num- helping to secure all browsers against these com- ber of popular extensions. In addition, XHOUND [34] mon errors. was also recently proposed to enumerate extensions and perform fingerprinting, by measuring the changes in the The remainder of this paper is organized as follows. DOM of the website. §2 provides the background on extension control meth- ods. §3 describes the problems and two different attacks In this paper we present the first in-depth security to subvert them. §4 describes the impact of the prob- study of all the extensions resource control policies lems in a broad set of scenarios. We then discuss possi- used by modern browsers. Our analysis show that all ble countermeasures and summarize the outcome of our browsers families that currently support extensions are research in §5. Finally, §6 discusses related work and §7 vulnerable to some form of enumeration attack. In par- concludes the paper. ticular, while the two design choices (i.e., access control settings or URI randomization) are both secure from a theoretical point of view, their practical implementation 2 Background suffers from many different problems. We discuss two offensive techniques to subvert these All browsers that support extensions implement some control policies, one based on a timing side-channel at- form of protection to prevent arbitrary websites from tack and one based on an involuntary leakage of the ran- enumerating the installed extensions and freely accessing dom URI token that affects many extensions. At the time their resources. After an extensive survey of several tra- of writing, these attacks undermine the extension secu- ditional and mobile browser families, we identified two rity of all browsers. We also discuss a set of attacks based main classes of protection mechanisms currently in use: on these techniques, which allow third-parties to perform access control settings (§2.1), and URI randomization precise user fingerprinting, or to perform various types (§2.2). of targeted attacks, performing proof-of-concept tests of some of them. 2.1 Access Control Settings We already reported the discovered problems to the involved browsers and extensions developers and we are The most popular approach to protect extension re- currently discussing with them about possible fixes. sources from unauthorized accesses consists in letting the extensions themselves specify which resources they In summary, this paper makes the following contribu- need to be kept private and which can be made publicly tions: available. All browsers that adopt this solution rely on a set of configuration options included in a manifest file • We propose the first time-based extension enumer- that is shipped with each extension. For security rea- ation attack that can retrieve the complete list of ex- sons, by default all the resources are considered private. tensions installed in browsers that use access con- However, developers can specify in the manifest a list of trol settings. This method largely outperforms any accessible resources. previous extension fingerprinting methodology pre- This solution is currently used by all browsers based sented to date. on Chromium, all the ones based on Firefox and Mi- • We design a static analysis tool for Safari exten- crosoft Edge. sions, and use it to flag hundreds of potentially vulnerable cases in which the developers leaked Chromium family the random extension URI. Through an exhaustive manual code analysis on a subset of the extensions, The Chromium family includes all versions of we confirm that this is indeed a very widespread Chromium (such as Google Chrome), and all browsers problem affecting a large fraction of all Safari ex- based on the Chromium engine (e.g., Opera, Comodo tensions. Dragon, and the Yandex browser). Extensions in this family are written using a combi- • We show that browsers extension resources control nation of HTML, CSS, and JavaScript [17]. They are policies are very difficult to properly design and im- not required to use any form of native code, as it is in- plement, and they are prone to subtle errors that stead the case for plugins or other forms of browser ex- undermine their security. Our research led to nu- tensions. Each Chromium extension includes a JSON merous discussions with the developers of all major file called manifest.json that defines a set of proper- browsers and extensions, including the ones vulner- ties such as the extension name, description, and version able to our attacks and the ones that are still in the number (see Figure 1 for an example of manifest). The 680 26th USENIX Security Symposium USENIX Association "name": "description", "example": "Example extension", (XUL). Extensions are also allowed to use functionality "version": "1.0", from third-party binaries or create their own binary com- ponents. Recently, Mozilla changed its extension devel- "browser_action": { opment framework, introducing the Add-on SDK of the "default_icon": "icon.png", "default_popup": "popup.html"}, JetPack project [28]. This development kit provides a high-level API, easing the development process and ad- "permissions": [ dressing some of the security issues of previous Firefox "activeTab", extensions. "https://ajax.googleapis.com/"], The registration and allocation of the different exten- "web_accessible_resources": [ sions is performed through the Chrome Registry [27] "images/*.png", which is also in charge of customizing user interface ele- "style/double-rainbow.css", "script/double-rainbow.js", ments of the application window that are not in the win- "script/main.js", dows content area (such as toolbars, menu bars, progress "templates/*"], ... bars, or windows title bars). Each extension contains a chrome.manifest file that specifies options related to three main categories — content, locale, and skin — as Figure 1: Snippet of a Chrome Extension exemplified in the following snippet: manifest.json file. content ext src/content/ manifest is used by the browser to know the functionality skin ext classic src/skin/ locale ext en-US src/locale/en-US/ offered by the extension and the permissions required to content pck chrome/ext/pck contentaccessible=yes perform those actions [16]. In the first version of the manifest, there was no re- striction over the resources of the extensions accessi- As it was the case for Chromium extensions, origi- ble from third-party websites. Because of that, different nally there was no control performed to prevent exter- tools were released to take advantage of this weakness nal websites from accessing the different resources of to enumerate user extensions and exploit their vulnera- an extension. And also in this case, developers de- bilities [23]. To mitigate this threat, Google decided to cided to solve the problem by including a new option introduce dedicated access control settings in the second in the chrome.manifest (called contentaccessible version of the manifest file. This extension uses a pa- and depicted in the last line of the previous example) that rameter (web accessible resources) to specify the specifies which resources can be publicly shared. How- paths of packaged resources that can be used in the con- ever, resources have a restricted access by default, unless text of a website. Resources are available through the contentaccessible=yes is specified in the manifest. URL chrome-extension://[extID]/[path]. How- Firefox is now developing a new way of handling Add- ever, any navigation access to an extension or its re- ons called WebExtensions [29]. This technology is de- sources is blocked by the browser, unless the extension signed mainly for cross-browser compatibility, support- resource has been previously listed as accessible in its ing the extension API of Chromium. Porting extensions manifest.json. This solution was explicitly designed between the two platforms will require few changes in to minimize the attack surface while protecting users’ the code of the Add-on. The new extensions will also privacy. use a manifest.json, including some extra data spe- cific for Firefox (see Figure 2). In order to access the different resources of the extension, Firefox will use the Firefox family moz-extension:// schema. Firefox family extensions (or Add-ons, as they are called As WebExtensions are currently in an early stage we in the Mozilla jargon) can add new functions to the web are not including them in our tests, but we notified their browser, change its behavior, extend the GUI, or in- developers and we will discuss more about them in §5. teract with the content of websites. Add-ons have ac- cess to a powerful API called XPCOM [30], that en- Microsoft Edge ables the use of several built-in services and applications through the XPConnect interface. In the Firefox family Edge will be the first Microsoft browser to fully support (which includes for example Firefox Mobile, Iceweasel extensions. It will follow a Chrome-compatible exten- and Pale Moon), extensions are written in a combina- sion model based on HTML, JavaScript and CSS. This tion of JavaScript and XML User Interface Language means that the migration process to Microsoft Edge for USENIX Association 26th USENIX Security Symposium 681 "applications": { "gecko": { 1 < script type = " text / javascript " > "id": "{the-addon-id}", 2 var myImage = safari . extension . baseURI + "strict_min_version": "40.0.0", 3 " Images / paper . jpg " ; "strict_max_version": "50.*" 4 document . body . style . cssText = "update_url": "https://foo/bar" 5 " background - image : url ( " + myImage + " ) " ; } 6 } ... Figure 3: Example of background image load in CSS Figure 2: Snippet of a Firefox WebExtension manifest’s using absolute URLs in Safari extension. new data. Send data yes Path yes accessible? no Chrome extension developers will require minimal ef- Extension Case B Request fort. installed? no Case A Beside the general web APIs, a special exten- sion API will provide a deeper integration with the x time y time browser, making possible to access features such as tab and window manipulation. The manifest will x+y time be named manifest.json and will use the same JSON-formatted structure and general properties of the Chromium implementation. The URL to access Figure 4: Resource accessibility control schema. the extension resources follows the ms-browser-ex- tension://[extID]/[path] schema. to access the randomized URI that changes each time As the design is in its preliminary stages and it is not Safari is launched. Absolute URIs are stored in the yet fully working, we are not including it in our analysis. safari.extension.baseURI field, as shown in Fig- ure 3. 2.2 URI Randomization As Safari was one of the last major browsers to adopt ex- 3 Security Analysis tensions, its developers implemented a resource control In the previous section we presented the two complemen- from the beginning to avoid enumeration or vulnerabil- tary approaches adopted by all major browser families to ity exploitations of installed extensions. Instead of re- protect the access to extension resources. The first so- lying on settings included in a manifest file like all the lution relies on a public resource URI, whose access is other major browsers, Apple developers adopted a URI protected by a centralized code in the browser accord- randomization approach. In this solution there is no dis- ing to settings specified by the extension developers in a tinction between private or public resources, but instead manifest file. The second solution replaces the central- the base URI of the extension is randomly re-generated ized check by randomizing the base URI at every execu- in each session. tion. In this case, the extension needs to access its own Safari extensions are coded using a combination of resources by using a dedicated Javascript API. HTML, CSS, and JavaScript. To interact with the web While their design is completely different, both solu- browser and the page content, a JavaScript API is pro- tions provide the same security guarantees, preventing an vided and each extension runs within its own “sand- attacker from enumerating the installed extensions and box” [1]. To develop an extension, a developer has to accessing their resources. We now examine those two provide: (i) the global HTML page code, (ii) the content approaches in more detail and discuss two severe limita- (HTML, CSS, JavaScript media), (iii) the menu items tions that often undermine their security. It is important (label and images), (iv) the code of the injected scripts, to note that these attacks can also be used in any type of (v) the stylesheets, and (vi) the required icons. device with a browser with extension capability, such as These components are grouped into two categories: smartphones or smartTVs. the first including the global page and the menu items, and the second including the content, and the injected 3.1 Timing Side-Channel on Access Con- scripts and stylesheets. This second group cannot ac- trol Settings Validation cess any resource within the extension folder using rel- ative URLs as the first group does. Instead, these As already mentioned, the vast majority of browsers extension components are required to use JavaScript adopt a centralized method to prevent third parties from 682 26th USENIX Security Symposium USENIX Association Figure 5: Comparison between number of iterations and errors with different CPU usages (%), . accessing any resource of the extensions that have not the two requests and, therefore, the extension is not in- been explicitly marked as public. Therefore, when a stalled in the browser. Otherwise, significantly different website tries to load a resource not present in the list of execution times mean that only the second test failed and, accessible resources, the browser will block the request. therefore, that the requested extension is present in the Despite the fact that, from a design point of view, this so- browser. lution may seem secure, we discovered that all their im- We performed an experiment in order to empirically plementations suffer from a serious problem that derives tune the time difference threshold and the number of cor- from the fact that these browsers are required to perform rect requests required to ensure the correctness of our at- two different checks: (i) to verify if a certain extension is tack. In particular, the following configuration was used: installed and (ii) to access their control settings to iden- tify if the requested resource is publicly available (see • We configured 5 different CPU usages: 0%, 25%, Figure 4 for a simple logic workflow for the enforcement 50%, 75%, and 100%. The experiment was exe- process). When this two-step validation is not properly cuted on a 2.4GHz Intel Core 2 Duo with 4 GB implemented, it is prone to a timing side-channel attack RAM commodity computer. that an adversary can use to identify the actual reasons behind a request denial: the extension is not present or • The attack was configured to be repeated from 1 to its resources are kept private. To this end, we used the 10 iterations. Note that each iteration performs two User Timing API 1 , implemented in every major browser, calls to the browser: one that asks for the fake ex- in order to measure the performance of web applications. tension and one that asks for the actual extension As an example, an attacker can code few lines of with a fake path. Javascript to measure the response time when invoking • We repeated each attack testing 500 times to avoid a fake extension (refer to case A in Figure 4). For in- any bias. In this way, we performed: 2 calls × 10 stance, in Chromium the requested URI could look like iteration configurations × 500 times × 5 CPU us- this: ages, resulting in a total number of 275,000 calls. chrome-extension://[fakeExtID]/[fakePath] We observed that, when the execution paths were dif- ferent, the response times differed by more than 5%. It Then, the attacker can generate a second request to is important to remark that our method exploits the pro- measure the response time when requesting an exten- portional timing difference between two different calls sion that actually exists, but using a non-existent resource rather than using a pre-computed time for a specific de- path (case B in Figure 4): vice. Figure 5 shows the precision across different CPU loads and different numbers of iterations. Five iterations chrome-extension://[realExtID]/[fakePath] were sufficient enough to achieve a 100% success rate even under a 100% CPU usage. By comparing the two timestamps, the attacker can easily determine whether an extension is installed or not Affected Browsers in the browser. Similar response times mean that the cen- tral validation code followed the same execution path on We tested our timing side-channel attack on the two browser families (Chromium-based and Firefox-based) 1 https://www.w3.org/TR/user-timing/ that use extensions access control settings. USENIX Association 26th USENIX Security Symposium 683 settings model. Table 1: Percentage extension detected by previous At the time of writing, the number of recommended methods. extensions in the games category (the smallest of the Chrome Firefox Total three) was 3,540. To keep a balanced dataset, we there- # Extensions Tested 10,620 10,620 21,240 fore selected also the top 3,540 of the remaining two % Previous Approaches 12.73% 8.17% 10.45% categories, resulting in a balanced dataset of the 10,620 % Our Approach 100.00% 100.00% 100.00% most recommended extensions. For Firefox, the selection process was easier because its store makes no distinction among different categories. Our experiments confirm that all versions of Therefore, we selected the 10,620 most popular Firefox Chromium are affected by this vulnerability. Browsers extensions to keep our complete dataset equally balanced such as Chrome, Opera, the browser of Yandex (largest between the two browsers. search engine in Russia) and the browser of Comodo To measure the coverage of previous bypassing meth- (largest issuer of SSL certificates) are included in this ods and compare it with the full coverage of our bypass group. As aforementioned, we are not including Edge technique, we combined the methods described in [6,20]. and Firefox WebExtensions because they are still in early These methods are, to the best of our knowledge, the stages of development. However, as they follow the same only ones that exist capable of enumerating extensions extension control mechanism as Chromium, they are also by subverting access control settings. These methods are likely to be vulnerable to our timing side-channel attack. based on checking the existence of externally accessible Surprisingly, non-WebExtensions in Firefox suffer resources in extensions. To test them, we analyzed the from a different bug that makes even easier to detect the manifest files of all extensions we downloaded, looking installed extensions. The browser raises an exception if a for any accessible resources. webpage requests a resource for non-installed extension Table 1 shows the obtained coverage using previous (case A in Figure 4), but not in the case when the re- methods. Chrome extensions were easier to enumerate source path does not exist (case B in Figure 4). While the than the ones in the Firefox store. However, the coverage exception does not cause any visible effect in the page, of these old methods is very low compared to the full an attacker can simply encapsulate the invocation in a coverage achieved by our method. try-catch block to distinguish between the two execu- tion paths and reliably test for the presence of a given extension. 3.2 URI Leakage Even if URI randomization control is completely central- Extensions Enumeration ized, it strongly depends on developers to keep resources away from any third-party access. In fact, extensions By telling apart the two centralized checks that are part are often used to inject additional content, controls, or of the extension settings validation (either because of the simply alert panels into a website. This newly gener- side-channel or because of the different exception behav- ated content can unintentionally leak the random exten- iors), it is possible to completely enumerate all the in- sion URI, thus bypassing the security control measures stalled extensions. It is sufficient for an attacker to sim- and opening access to all the extension resources to any ply probe in a loop all existing extensions to precisely other code running in the same page. In addition, the enumerate the ones installed in the system. leaked random URI may be used by third-parties to un- In comparison, previous bypassing techniques [6, 20] equivocally identify the user while browsing during the were only able to detect a small subset of the exist- same session. ing extensions. In order to precisely assess the accu- A simple example taken from the Web of Trust2 ex- racy improvement over these previous techniques, we tension is shown in Figure 6. The code snippet creates conducted an experiment on a set of 21,240 extensions. a new iframe (line #11), sets its src attribute to the For this test, we decided to focus on the two browsers baseURI random address of the extension (line #14), and with the highest number of available extensions: Chrome adds the frame to the document body (line #19). As a re- and Firefox (Opera also has its own extension store, but sult, any other JavaScript code running in the same page the number of popular extensions is very low compared (and therefore potentially under control of an attacker) with the other browsers). In the case of Chrome, exten- can retrieve the address of the injected iframe and use sions are divided in three different groups: extensions, it to access any resource of the extension. In fact, once apps, and games. Although one of the groups is ex- the random token is known, the browser offers no other plicitly called extensions, all of them are installed as a chrome-extension and follow the same access control 2 https://www.mywot.com/ 684 26th USENIX Security Symposium USENIX Association 1 wot . rating = { file_B 2 toggleframe : function ( id , file , style ) { (function_B) 3 try { calls calls 4 var frame = document . getEl ementByI d ( id ) ; 5 if ( frame ) { 6 frame . parentNode . removeChild ( frame ) ; file_A file_D (function_A) (function_D) 7 return true ; injection baseURI 8 } else { 9 var body = document . g e t E l e m e n t s B y T a g N a m e ( " body " ) ; 10 if ( body && body . length ) { calls 11 frame = document . createElement ( " file_C iframe " ) ; (function_C) 12 if ( frame ) { 13 frame . src = safari . extension . baseURI + file ; 14 frame . setAttribute ( " id " , id ) ; Figure 7: Simplified example schema of an extension 15 frame . setAttribute ( " style " , style ) ; that leaks the baseURI. 16 if ( body [0]. appendChild ( frame ) ) 17 { return true ;} 18 } stract Syntax Trees (ASTs) of all the different JavaScript 19 } components of the extension under analysis. Source and 20 } sinks are located by just looking for the specific code in 21 } catch ( e ) { 22 console . log ( " failed with " + e + " \ n " ) ;} the nodes of the tree, while the information flow is com- 23 return false ; puted by following the different pieces of code that actu- 24 } ally have access to the data along the different execution paths. In particular, the analysis is performed in three Figure 6: Web Of Trust Safari extension function that steps: creates an iframe in the website with the baseURI ran- 1. In the first step, the tool identifies the source loca- dom variable as source. tions where the code accesses the random extension URI (looking for calls to the baseURI method). security mechanism to protect the access to an extension 2. The tool then separately analyzes all the compo- resources. nents that can use the retrieved value. Following the While this may seem like a simple bug in the extension information flow (i.e., functions that are are called development, our experiments show that it is instead a or are calling), this process is performed recursively very widespread phenomenon. The entire security of the until no more connections are found. extension access control in Safari relies on the secrecy of the randomly generated token. However, the token is part 3. For every identified components, the tool locates the of the extension URI which is often used by the exten- sinks, i.e., the location where new content is injected sions to reference public resources injected in the page. in the webpage (e.g., through the createElement As a result, we believe that this design choice makes it and appendChild methods). If there is a connec- very easy for developers to unintentionally leak the se- tion between the baseURI access and the injec- cret token. tion of an element in the website, the extension is flagged as suspicious and reported for further anal- ysis. Estimating the Scale of the Problem The Web-of-Trust example discussed above consists of a The schema in Figure 7 shows a simplified example of single function of 30 lines of code, but not all the cases an extension that leaks the baseURI using function A are so obvious to identify without a complex static anal- of file A to obtain the value, function B of file B ysis of the extension. as an intermediate phase, and function D of file D to To estimate how prevalent the problem is, we imple- finally make the injection on the website. mented a prototype analyzer that reports candidate cases This technique is designed to act as a screening filter of URI leakage in all Safari extensions. Our tool is based and NOT as a precise detection method. Indeed, the fact on Esprima3 to perform a static analysis based on the Ab- that an extension retrieves the baseURI and then uses it to create some content is not sufficient to identify if 3 https://github.com/jquery/esprima the full information is actually leaked. For instance, we USENIX Association 26th USENIX Security Symposium 685 tection extensions such as Adblock5 , Ghostery6 , Web Of Table 2: Percentage of potential baseURI leakage in sa- Trust7 , and Adguard8 . The list also includes password fari extensions. Category # Total Ext. # P. Leak managers, such as LastPass9 , Dashline10 , Keeper11 , and Shopping 95 57.89% TeedyID12 and combinations of the two functionalities Email 13 53.85% (e.g., Blur from Abine13 ). Security 84 52.38% News 20 45.00% In summary, a relevant number of Safari extensions Photos 25 44.00% are vulnerable to our technique, including several impor- Bookmarking 61 42.62% Productivity 147 40.82% tant and very popular security-related extensions. As ex- RSStools 5 40.00% plained in §5, we are now in the process of validating all Entertainment 37 37.84% the results and contacting the developers of the affected Translation 8 37.50% extensions to fix their code. Social 80 30.00% Developer 57 29.82% Other 42 26.19% Search 42 21.43% 4 Impact urlshorteners 5 0.00% Total 721 40.50% In the previous section we discussed the security of access control settings and URI randomization, and we showed how every mechanism adopted by current found an extension that used the baseURI to retrieve its browsers can be easily bypassed in practice. There are version number and then injected an iframe with the several possible consequences of abusing the informa- version number included directly as part of its URL, but tion provided by our two techniques. without leaking the complete baseURI. 4.1 Fingerprinting & Analytics To evaluate our tool, we downloaded and analyzed all the available extensions within the Safari Extension The most accurate and controversial form of fingerprint- Gallery4 . The 718 extensions belonged to 15 differ- ing aims at building a unique identifier for each user de- ent categories (e.g., security, shopping, news, social net- vice, such as Panopticlick [12]. It is considered a state- working, and search tools). less technique, because in order to build and share the Table 2 shows the obtained results. In general, more unique identifier, these techniques do not require to store than 40% of the Safari Extension Gallery were poten- anything on the user machine (in contrast with stateful tially vulnerable to our enumeration technique. We de- techniques such as Cookies). To build a unique iden- cided to manually analyze some of the results to deter- tifier, several features are retrieved from the user’s ma- mine whether the reported extensions actually performed chine and combined in a unique fingerprint. This pro- the leak or not. Since the security category is among the cess can be repeated across multiple websites and the ones with the highest percentage of extensions with a po- identifier will always be the same for the same machine, tential leak and it is also particularly sensitive due to the allowing trackers to determine users’ browsing history, type of information these extensions usually deal with among other tasks. Using the set of installed extensions (such as user passwords), we decided to manually verify can increase the uniqueness of the resulting fingerprint. all the results for the extensions in this category. To measure the exact fingerprinting ability of extension With a considerable effort, we performed an exhaus- enumerations, a study should be performed to measure tive manual code review of all the security extensions, se- the discriminatory power of the most popular extensions lecting those that were completely functional, excluding available for each browser. To this end, we have con- the ones that required payment for their services. Among ducted a preliminary study of this type of analysis in the 68 extensions in this group, 29 were flagged as sus- §4.3. picious of making the leakage and 39 were not leak- The techniques proposed in this paper can also be ing it. From the suspicious ones, 20 out of 29 actually used to perform a completely accurate browser finger- leaked the secret baseURI. In addition, we only iden- 5 https://getadblock.com/ tified one false negative that leaked the information but 6 https://www.ghostery.com/ was not identified by our static analysis tool. In partic- 7 https://www.mywot.com/ ular, this extension obtained the complete URL, includ- 8 https://adguard.com/ 9 https://lastpass.com/ ing baseURI, but stored it locally. Within the extensions 10 https://www.dashlane.com that are vulnerable to our attack, we found popular pro- 11 https://keepersecurity.com/ 12 https://www.teddyid.com/ 4 https://extensions.apple.com/ 13 https://dnt.abine.com 686 26th USENIX Security Symposium USENIX Association printing without checking the User-Agent. To this end, Table 3: Top 10 most Popular Extension Categories in our method can be used to check for built-in extensions. the Chrome Store. These extensions are pre-installed and present in nearly Category % Usage every major web browser and there is no possibility for the user to uninstall them. Therefore, if we configure our productivity 29.90 fun 10.45 techniques to check one of these built-in extensions that communication 9.76 does not exist in other browsers, a website can precisely web development 7.74 identify the browser family with 100% accuracy. accessibility 4.65 search tools 4.44 The installed extensions enumeration combined with shopping 3.46 the aforementioned browser identification can be used to photos 3.12 news 2.40 determine users’ demographics. The extensions that a sports 1.80 particular user utilizes can be easily discovered by web- sites or third-party services. Installed extensions provide information about a particular user’s interests, concerns, legitimate messages about that extensions, with the in- and browsing habits. For example, users with security tention of deceiving the user and leading her to install and privacy extensions installed in their browsers such as malicious software. As an example, if a malicious web- Ghostery or PrivacyBadger are potentially more aware site discovers that the user is using a concrete password about their privacy than other users. The same happens management extension, it can create a fake window to with personalizing extensions, games, or any possible ask the user to re-type her password. This attack is partic- combinations of other extensions categories. In order to ularly severe in the case of Safari, since the attacker can measure the feasibility of performing analytics through actually access all the resources of an extension that leaks extensions, we have conducted a proof-concept test de- its baseURI. Hence, even a careful user who decides to scribed in §4.3. analyze the website source cannot easily understand if a certain window or frame is created by an installed exten- 4.2 Malicious Applications sion or by the site reusing the extension resources. The information retrieved from the installed extensions While the URI randomization control bypass does not can also be used for malicious purposes, as the informa- provide a complete enumeration capability, when an ex- tion gathering phase about potential victims is usually tension leaks its random token it opens all its internal re- the first step to perform a targeted attack. For instance, sources to the attacker. This is potentially very harmful attackers can inject the extension enumeration code in a as it increases the attack surface, allowing the attacker to compromised website and search for users with shopping access and exploit any vulnerability in one of the inter- management extensions and password managers to nar- nal extension components. For example, Kotowicz and row down their attack surface to only those users whose Osborn [23] presented a Chrome extension exploitation credit card information has a higher likelihood to be framework14 that could be used when it was still possible stolen. Another possibility would be to identify the pres- to access all the different extension resources. ence of a major antivirus vendor extension to personalize an exploit kit or to decide whether the malicious payload should be delivered or not to a certain user. 4.3 Viability Study In addition to the attacks already presented, in a re- We have studied the viability of the estimated impact cent work, Buyukkayhan et al. [7] presented CrossFire, for several of the cases discussed before. In particular, a technique that allows attacker to perform malicious ac- we have analyzed their potential for performing analyt- tions using legitimate extensions. The part that was left ics as well as the fingerprinting capability of extensions. unanswered by the paper is how the attacker can identify We have omitted the malicious case studies due to their a set of installed extensions to use for her purpose. By inherent ethical concerns. In addition, we believe that using our enumeration technique, an attacker can create their implementations are more straightforward than in completely functional malicious extensions by knowing the proof-of-concept cases we tested and evaluated. all installed victim’s extensions in beforehand. Due to the variability of possible extensions, the infor- Analytics mation of a particular user can be exploited in different In the case of the analytics capability of extensions, we social-driven attacks (automated or not). For example, a have computed the popularity of the different categories malicious website can exploit the information about par- ticular extensions being installed to impersonate and fake 14 https://github.com/koto/xsschef USENIX Association 26th USENIX Security Symposium 687 Table 4: Comparison between Extensions with other Fin- gerprinting Attributes. Method Entropy Extensions 0.869 List of Plugins 0.718 List of Fonts 0.548 User Agent 0.550 Figure 8: Distribution of anonymity set sizes regarding Canvas 0.475 extensions. Content Language 0.344 Screen Resolution 0.263 established in the Chrome Web Store for each of the ex- tensions that we previously analyzed in §3.1. In particu- the top 1,000 most popular from the Chrome Web Store lar, we analyzed the 63 categories present in the 10,620 and the Add-ons Firefox websites, using the timing side- most popular Chrome extensions (Table 3 shows the 10 channel extension enumeration attack described in §3.1. most popular categories). Since our study involved the enumeration of several The most popular category was “productivity” with users’ installed extensions, we informed the users about 29.90% usage. Nevertheless, the definition of this cate- the procedure including the information gathered. Only gory is not clear because it includes a wide-range of types after the user agrees to perform the experiment and share of extensions such as ad blockers, schedulers, or office- the collected information, the enumeration of her exten- related tools. Anyhow, a possible sub-categorization may sions is conducted. We also set a cookie on the user be possible by means of the available description of each browser to prevent multiple resubmissions from the same extension. The rest of the 10 most popular are more pre- user. In addition, to protect the user privacy, we only col- cise and may be helpful in order to perform analytics re- lected anonymous data. lated tasks such as targeted advertisement or website per- We disseminate the URL of the page through social sonalization. For instance, the number of visitors with networks and friends, asking them to participate in the “shopping”, “web development”, or “sports” extensions, study and further re-disseminate the link among their may help the website owner to personalize her content or contacts. This way we collected the list of installed ex- ads accordingly, thus improving her number of visitors tensions from 204 participants from 16 different coun- or ad revenues. tries. Even though this number is smaller than in previ- However, not only the most popular extensions may ous studies, we would like to remark that fingerprinting help the website owner to get a better understanding of is not the actual goal of the paper but just a possible ap- her visitors and act accordingly. Indeed, less popular ex- plication of our attacks. In fact, this analysis is simply tensions, because their higher power of discrimination designed to determine the viability of our technique for among users, can also be used for this task. For example, device fingerprinting, either as a method by itself or by the usage of extensions from the “creative tools” cate- complementing other existing fingerprinting techniques. gory indicates that the visitor is prone to create content, Following the standard adopted in previous works [12, the presence of extensions within “academic resources” 24], we analyzed the extension anonymity sets of the category would likely indicate that the visitor is near the fingerprinted users, which is defined as the number of academic environment, “teacher tools” may imply that users with the same fingerprint i.e., same extension set the visitor deliver at least some lectures, and “blogging” (the distribution of anonymity sets is shown in Figure 8). implies that the visitor is a blogger. Overall, from the 204 users that participated in our study, In summary, we believe that extensions are a power- 116 users presented a unique set of installed extensions, ful tool to perform fine-grained user analytics because of which means that 56.86% of the participants are uniquely their diversity. Moreover, the information derived from identifiable just by using their set of extensions. the installed extensions of a web visitor, combined with In addition, we also compare the discriminatory level the classical analytics information may lead to a better of this proof-of-concept fingerprinting technique by user analytics for website owners. computing its normalized Shannon Entropy [24] and comparing it with other fingerprinting attributes pro- Device Fingerprinting posed in previous studies. In particular, Table 4 com- pares the different entropy values of the top six finger- In order to understand and measure the capability of printing methods or attributes measured in the work by extensions for device fingerprinting, we implemented a Laperdrix et al. [24] with our extensions-based finger- page that checks the users’ installed extensions among printing method. We can notice that extensions pre- 688 26th USENIX Security Symposium USENIX Association 1 G e t F l a g s F r o m P a c k a g e ( const nsCString & Table 5: Current Browsers affected by our attacks. The aPackage , uint32_t * aFlags ) { last two lines refer to Extensions still under development. 2 PackageEntry * entry ; Browser Extensions Resource 3 if (! mPackagesHash . Get ( aPackage , & Enumeration Access entry ) ) 4 return N S _ E R R O R _ F I L E _ N O T _ F O U N D ; Chromium Family X 5 * aFlags = entry - > flags ; – Chrome X 6 return NS_OK ; – Opera X 7 } – Yandex X 8 ... X 9 G e t S u b s t i t u t i o n I n t e r n a l ( const nsACString Firefox Family X & root , nsIURI ** result ) { – Firefox Mobile X 10 nsAutoCString uri ; – Iceweasel X 11 if (! R e s o l v e S p e c i a l C a s e s ( root , – Pale Moon X N S _ L I T E R A L _ C S T R I N G ( " / " ) , uri ) ) { ... X 12 return N S _ E R R O R _ N O T _ A V A I L A B L E ;} 13 return NS_NewURI ( result , uri ) ; Safari ≤ 40% ≤ 40% 14 } Microsoft Edge in discussion Firefox WebExtensions in discussion Figure 9: Firefox functions that cause the difference be- tween existing and not existing extensions. sented the highest entropy of the analyzed fingerprinting 3 const Extension * extension = attributes — making them more precise than using the R e n d e r e r E x t e n s i o n R e g i s t r y :: Get () -> list of fonts or canvas-based techniques. G e t E x t e n s i o n O r A p p B y U R L ( resource_url ) ; 4 if (! extension ) { 5 return true ; 5 Vulnerability Disclosure and 6 } Countermeasures Figure 10: Snip of Resource Request Policy function of 5.1 Attack Coverage & Effects Chromium that causes the difference between existing and not existing extensions (see Appendix for full code). In this paper we presented two different classes of attacks against the resource control policies adopted by all fam- ilies of browsers on the market. Table 5 summarizes the not include any check for extensions and, therefore, both overall impact of our methods. websites and extensions are able to access each other. As already mentioned, the coverage of our enumer- ation attack is complete in the case of the timing side- channel attack to access-control-based browser families 5.2 Timing Side-Channel Attack (i.e., Chromium and Firefox Families) while approxi- The first class of attacks is the consequence of a poor mately around 40% in URL randomization browsers (Sa- implementation of the browser access control settings: fari). Firefox-family browsers usage of extensions can be ex- ploited to recognize the reason behind a failed resolution, Effects of Private Mode and Chromium family timing-side channel allows an at- tacker to precisely tell apart the two individual checks “Incognito” or private mode is present in most of the performed by the browser engine. modern browsers and it protects and restricts several ac- The consequence, in both cases, is a perfect technique cesses to the browser resources such as cookies or brows- to enumerate all the extensions installed by the user. ing history. Therefore, we decided to analyze if our at- Given the open-source nature of these two browsers, we tacks can enumerate extensions even when this mode is manually identified the functions responsible of the prob- activated. lem and indicated how to fix each of them. We discovered that all of our attacks accurately identi- fied the list of installed extensions also within the private Chromium family mode. This fact is due to several reasons. In the case of Chromium family browser, the browser checks for exten- We contacted the Chromium team to report the timing sions in incognito mode, even though extensions are not problem. The developers were quite surprised about the allowed to access the websites [9]. Firefox and Safari did attack, because they believed that the time differences in USENIX Association 26th USENIX Security Symposium 689 the checking phase were not significant enough to allow lated attacks. In particular, they changed the ini- this type of timing side-channel attack. By inspecting tial scheme (moz-extension://[extID]/[path]) to the function responsible of checking the accessibility of moz-extension://[random-UUID]/[path]. Unfor- a concrete extension path (see Figure 10), the two dif- tunately, while this change makes indeed more difficult ferent steps described in section 3 can be clearly identi- to enumerate user extensions, it introduces a far more fied. First, the browser tests the existence of the exten- dangerous problem. In fact, the random-UUID token can sion (line #4) and finishes if the extension does not exist. now be used to precisely fingerprint users if it is leaked If the extension does exist, it performs different checks by an extensions. A website can retrieve this UUID and to make sure that the path is accessible, returning a error use it to uniquely identify the user, as once it is generated message if it is not. These checks are the ones that permit the random ID never changes. We reported this design- the timing difference exploited in the attack. related bug to Firefox developers as well. We suggested a possible way to fix the code to avoid the time measurement by modifying the extension con- trol mechanism to combine the internal extension verifi- 5.3 URI Leakage cation and the resource check together in a single atomic The second class of attacks presented in the paper is operation (i.e., by modifying the extension existence quite different. In fact, the method that Safari’s exten- check of line #4). This requires to replace the extension sion control employs to assure the proper accessibility list with a hashtable containing the extensions and the of resources is, in principle, correct. However, Safari full path of their resources. delegates to the extension developers the responsibility While it may seem simple to fix the problem by mak- to keep the random URI secret. We believe that this is a ing the check atomic, the problem remains if the attack very risky decision because most of the developers lack a is performed with real extension paths (easily obtainable) proper understanding of the problem. As a consequence, instead of fake paths. The timing difference would be the our experiments confirm that a relevant number (40% in same as the one presented in Figure 4, with the only dif- our preliminary experiments) of the extensions are likely ference that the first check would validate the full path to leak the baseURI, undermining the entire security so- and not just the extension. At the time of writing, as it is lution. In particular, we discovered that important secu- a design-related problem, it is still not fixed. rity extensions such as multiple password managers or In addition, as the new Firefox WebExtensions and advertisement blockers suffer from this baseURI leak- Microsoft Edge (both currently in their early stages) age vulnerability and, hence, they are vulnerable to this use the same extension control mechanisms proposed by attack. In the case of security extensions, this is particu- Chromium, we also notified their developers to make larly worrying due to the type of information they man- them aware of the issue described in this paper. We hope age is usually very sensitive. that our effort will help these two new versions to inte- In this case the problem is even harder to solve, be- grate by-design the necessary countermeasures to avoid cause it is not a consequence of an error in the extension these security problems since the beginning. control but of hundreds of errors spread over different ex- tensions. Reaching out and training all the extension de- velopers is a difficult task but Apple should provide more Firefox family information on the proper way to handle the baseURI We also responsibly reported the Firefox non- and about the security implications of this process. WebExtensions problem that makes our enumeration In addition, we believe that Safari could benefit from attack possible to its developers, who acknowledged adopting a lightweight static analysis solution (similar the issue and are currently discussing how to proceed. to the one we discuss in §3) to analyze the extensions Specifically, Figure 9 show the function that causes the in their market and flag those that leak the random to- response difference regarding the extension existence. ken. This would allow to immediately identify poten- The error returned when the resource path does not ex- tially leaking extensions that may need a more accurate ist (line #4 and line #12 in Figure 9) does not raise any manual verification. In the meantime, we started report- exception. Therefore, the solution is straightforward: re- ing the problem to some security extensions we already turn a NS ERROR DOM BAD URI error (i.e., the same one manually confirmed, to help them solve their URI leak- that is thrown when extension is not installed). This age problem. fix will not cause any issue to websites using extension paths, maintaining the functionality intact. 5.4 Extension Security Proposal Regarding WebExtensions, the Firefox developers re- cently changed the way extensions are accessed in In order to improve the security and privacy of browser order to solve the timing side-channel and other re- extensions, we propose a solution that solves all the dif- 690 26th USENIX Security Symposium USENIX Association ferent problems presented in this paper. extensions, employing fuzzing techniques and Honey- Pages adapted to the extensions. Hulk was used to an- 1. All browsers should follow an extension schema alyze more than 48,000 Chrome extensions, discovering that includes a random generated value in the URL: several malicious ones. X-extension://[randomValue]/[path]. This Despite the fact that these approaches are useful to de- random value should be modified across and dur- tect malicious or compromised extensions, they are un- ing the same session and should be independent for fortunately useless against external attacks or informa- each extension installed. For example, the browser tion leakages. Our analysis has lead to the most com- should change it in every extension in every access. plete set of attacks against resource accessibility control In this way, the random value cannot be used to fin- and baseURI randomization, allowing in both cases ex- gerprint users. tension enumeration attacks that can be used as part of 2. Browsers should also implement an access control larger threats. (such as web accessible resource) to avoid any Similar to our own work, XHOUND [34] recently undesirable access to all extensions resources even showed that the changes extensions perform on the DOM when the random value is unintentionally leaked. are enough to enumerate extensions. Using this tech- nique, the authors also developed a new device finger- 3. Extensions should be analyzed for possible leakages printing technique and measured its impact. However, before making them public to the users. Moreover, this approach has a much more limited applicability. In developer manuals should specifically discuss the comparison, our techniques achieve a larger coverage, problems that can cause the leakage of any random successfully enumerating 100% of the extensions for ac- value generated. cess control browsers and around 40% for those using URI randomization. 6 Related Work Web Timing Attacks Security of Browser Extensions Web Timing attacks have been used for many different The research community has made a large number purposes, both in the client side and server side. Felten of contributions analyzing the security properties of and Schneider [13] introduced this type of attacks as a browsers extensions. A number of recent studies have tool to compromise users’ private data and, specifically, focused on monitoring the runtime execution of browser their web-browsing history. In this way, a malicious at- extensions. Louw et al. [35, 36] proposed an integrity tacker might obtain this information by leveraging the checker and a policy enforcement for Firefox legacy ex- different forms of web browser cache techniques. By tensions. A more recent framework, Sentinel [31, 32], measuring the time needed to access certain data from provided a fine-grained control to the users over legacy an unrelated website, the researchers could determine if extensions, allowing them to define custom security poli- that specific data was cached or not, indicating a previous cies while blocking common attacks to these extensions. access. Other approaches have focused on providing security Later, Bortz et al. [5] organized timing attacks in two analysis of browsers extensions in order to discover se- different types of attacks: (i) direct timing, consisting in curity flaws. On the static analysis side, IBEX [18] is measuring the time difference in HTTP requests to web- a framework to analyze security properties by means of sites and (ii) cross-site timing, which allows to obtain a static methodology and it also allows developers to data from the client-side. The first type could expose create a fine-grained access control and data-flow poli- website data that may be used to prove the validity of a cies. VEX [3] is instead a static analyzer for Firefox username in certain secure website. The second type of JavaScript extensions that applies information flow anal- attacks follow the same line of work of previous work ysis to identify browser extension vulnerabilities. by Felten and Schneider. They also performed some ex- Dynamic extensions analysis includes the work of periments that suggested that these timing vulnerabilities Djeric et al. [11], in which the authors proposed the use were more common than expected. In addition, Kotcher of dynamic analysis to track data inside the browser and et al. [22] discovered that besides from the attacks pre- detect malicious extensions. Dhawan et al. [10] pro- vious discussed, the usage of CSS filters made possible posed a similar approach to detect extensions that com- the revelation of sensitive information such as text tokens promised the browser environment. In a similar vein, exploiting time differences to render various DOM trees. Wang et al. [39] used an instrumented browser to ana- Two recent studies show that these attacks are far lyze Firefox Extensions. Hulk [21] is a dynamic analysis from being solved. Jia et al. [19] analyzed the possi- framework that controlled the activity of the browsing bility of determining the geo-locations of users thanks USENIX Association 26th USENIX Security Symposium 691 to the customization of services performed by websites. and extensions to propose the correct countermeasures to Location-sensitive content is cached the same way as mitigate these attacks in both current and future versions. any other content. Therefore, a malicious actor can de- termine the victim’s location by checking this concrete data and without relying in any other technique. Be- Acknowledgments sides, Van Goethem et al. [38] proposed new timing tech- This work is partially supported by the Basque Gov- niques based on estimating the size of cross-origin re- ernment under a pre-doctoral grant given to Iskander sources. Since the measurement starts after the resources Sanchez-Rola. are downloaded, it does not suffer from unfavorable net- work conditions. 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SchemeIs ( c h r o m e _ m a n i f e s t _ u r l s :: kExtensionScheme )); G et De vT o ol sP ag e ( extension ) . 3 const Extension * extension = is_empty () ; R e n d e r e r E x t e n s i o n R e g i s t r y :: Get () -> 20 bool t r a n s i t i o n _ a l l o w e d = ! ui :: GetExtensionOrAppByURL ( PageTransitionIsWebTriggerable ( resource_url ) ; t ra ns it i on _t yp e ) ; 4 if (! extension ) { 21 bool is_error_page = frame_url == 5 return true ; GURL ( content :: 6 } kUnreachableWebDataURL ); 7 std :: string 22 resource_root_relative_path = 23 if (! i s_ em p ty _o ri g in && ! 8 resource_url . path () . empty () ? std i s_ ow n_ r es ou rc e && ! is_dev_tools :: string () && ! t r a n s i t i o n _ a l l o w e d && ! 9 : resource_url . path () . substr (1) ; is_error_page ) { 10 if ( extension - > is_hosted_app () && ! 24 std :: string message = base :: IconsInfo :: GetIcons ( extension ) . StringPrintf ( " Denying load of ContainsPath ( % s . Resources must be listed resource_root_relative_path )) { in the 11 LOG ( ERROR ) << " Denying load of " << web_accessible_resources resource_url . spec () << " from " manifest key in order to be << " hosted app . " ; loaded by pages outside the 12 return false ; extension . " , resource_url . spec 13 } () . c_str () ) ; 14 if (! W e b A c c e s s i b l e R e s o u r c e s I n f o :: 25 frame - > a d d M e s s a g e T o C o n s o l e ( I s R e s o u r c e W e b A c c e s s i b l e ( extension , 26 blink :: W e b C o n s o l e M e s s a g e ( blink :: resource_url . path () ) && ! W e b C o n s o l e M e s s a g e :: LevelError , WebviewInfo :: blink :: WebString :: fromUTF8 ( IsResourceWebviewAccessible ( message ) ) ) ; extension , dispatcher_ - > 27 return false ; w e b v i e w _ p a r t i t i o n _ i d () , 28 } resource_url . path () ) ) { 29 } 15 GURL frame_url = frame - > document () . 30 return true ; url () ; 31 } 16 GURL page_origin = ablink :: W eb St ri n gT oG UR L ( frame - > top () -> g e t S e c u r i t y O r i g i n () . toString () ) ; Figure 12: Resource Request Policy function of Chromium that causes the difference between existing Figure 11: Resource Request Policy function of and not existing extensions (part 2) Chromium that causes the difference between existing and not existing extensions (part 1) 694 26th USENIX Security Symposium USENIX Association