Skip to content

Advertisement

  • Research
  • Open Access

CrashSafe: a formal model for proving crash-safety of Android applications

Human-centric Computing and Information Sciences20188:21

https://doi.org/10.1186/s13673-018-0144-7

  • Received: 23 April 2018
  • Accepted: 6 July 2018
  • Published:

Abstract

Each software application running on Android powered devices consists of application components that communicate with each other to support application’s functionality for enhanced user experience of mobile computing. Application components inside Android system communicate with each other using inter-component communication mechanism based on messages called intents. An android application crashes if it invokes an intent that can not be received by (or resolved to) any application on the device. Application crashes represent a severe fault that relates to compromised users’ experience, consequently resulting in decreased ratings, usage trends and revenues for such applications. To address this issue—by formally proving crash-safety property of Android applications—we have defined a formal model of Android inter-component communication using Coq theorem prover. The mathematical model defined in theorem prover allows one to prove the properties of inter-component communication system and check the correctness of the proof in an automated way. To demonstrate the significance of the formal model developed, we carried proof of crash-safety of Android applications using Coq tool. The proposed solution named CrashSafe supports a formal approach that enables one to (i) check the correctness of inter-component communication in Android systems and (ii) establish a formal foundation for other tools to assess Android applications’ reliability and safety.

Keywords

  • Android
  • Inter-component communication
  • Mobile computing
  • Coq
  • Formal analysis
  • Security and reliability

Introduction

Mobile devices have become an indispensable part of modern life style. Originally designed and built to facilitate remote communications such as phone calls and text messaging, mobile devices now support portable computing, context-aware communication, enhanced user interaction, and high-connectivity systems [36]. The operating system—that powers-up mobile devices—enables the execution of third party applications (apps for short) that support a variety of tasks on the go [21]. These capabilities of modern mobile devices make them smart and open up the gate for a multitude of applications that support a variety of tasks that includes but not limited to mobile commerce, health monitoring, and location querying [12]. There are thousands of mobile applications available on application stores such as Google Play and Apple Apps Store for the two most popular mobile operating systems Android and iOS [2, 16].

Android is Google’s open source applications development platform as well as an operating system. It is based on Linux kernel and powers up mobile devices such as smart phones and tablets [17]. According to Statista [39], Android’s market share in sales to end users in second quarter of 2017 was 87%. Android provides a software development kit (SDK) with other developer tools and application programming interface (API) for building innovative mobile applications. Application components, namely activity, service, broadcast receiver and content provider are the essential building blocks of an Android application. Such a modular application framework allows mutually non-trusting Android applications to share their functionalities and resources using security enforcement mechanism based on permissions [15, 18]. These applications can access (hardware and software) resources of the device, such as camera and contacts, and share data with other applications or components of the same application. In Android, messaging or data passing between applications on a mobile device is achieved with inter-component communication (ICC) using intents [28]. Through the ICC messaging, both control and data can flow between applications that may lead to numerous security and reliability issues such as a malicious application trying to access private data or application crashes that may lead to catastrophic impacts on mobile computing. If an application, for example, crashes due to failure of intent resolution, the user is likely to abandon the application for a competitor [30].

Considering the security perspective of Android framework, ICC can be exploited by the attackers to leak sensitive user information. A recent case for compromise on data security and privacy is reported in [27], where a gaming application frequently monitored the viewing habits of their users (some of them may be children) even when the game was not active. By using a device’s microphone, the gaming application was able to sense what people watched by identifying audio signals in TV ads and shows. Even worst, the gaming application could match the information about the places people visit and the movies they watch. Second, from the application’s stability point of view, application crashes negatively impact the performance and user experience of mobile computing. This means that, Android’s ICC that enables data communication between components within or outside application can also compromise the data security, privacy and stability of mobile applications [13]. The security aspect of applications is equally important, though, the main focus of this paper is to study applications’ safety against crashes caused by failure in intent resolution.

Research context and challenges Android applications can crash at run time due to intents, i.e., an application crashes if there is no application component that can receive the intent [20]. In an empirical study, Maji et al. tested more than 6 million intents against more than 800 applications and found that around 10% Android components tested crashed due to intents. In a separate analysis, Chin et al. [9] found 1414 exposed surfaces in 100 Android applications, with most of them (1013) were caused by intents. Application crash is the major problem (62% of all) faced by the users, with most of them drive users to uninstall the app [41]. ICC, in addition, can cause information leak: Li et al. [26] tested 15,000 Google Play applications and found that about 16% (337 out of 15,000) were leaking information through ICC.

The existing mechanism to protect against such crashes and information leaks is to check explicitly, before invoking an intent, that the intent follow certain security rules: e.g. checking there exists at least an application component to address the intent. To the best of our knowledge, none of these approaches provide formal proofs of guarantee that security rules are indeed followed. Android applications’ security and reliability has been studied from different perspective, including structure of applications [38], permission systems [8, 15] and ICC [7, 8, 32, 40]. These analysis are helpful to investigate and mitigate the security challenges that relate to mobile applications in general but they lack security and reliability analysis targeted towards ICC and in particular intent resolution. In the context of Android applications, one of the most vulnerable part of Android framework is its ICC [7, 40] that require a rigorous and formal analysis to ensure application’s safety, reliability and security.

The official documentation [19] of Android’s ICC is in English—an informal documentation—that leads to misinterpretations, and lack of formal reasoning and analysis. The lack of formal reasoning of informal documentation and methods affects their overall acceptance. The digital forensic used in criminal investigation and evidence, for example, is unproven and is highly criticised in legal proceedings [4]. Such non-rigorous specifications can cause interpretation issues, most commonly developers often choosing undocumented practices that can lead to applications vulnerable to security and privacy threats [1]. A typical consequence of misinterpreting the informal documentation may lead to a scenario where an application developer may incautiously expose a component to third party applications [23]. Furthermore, as the informal specification of ICC do not have a mathematical foundation and hence cannot be used to formally prove correctness of Android applications.
Fig. 1
Fig. 1

Overview of the proposed solution in the context of Android ICC

Solution overview In this paper, we propose to formally specify the ICC—as defined in Android’s official documentation—using theorem prover Coq [22]. The formalism is a simple but careful translation from English to logical notations and formulas. An overview of the proposed solution is provided in Fig. 1 that illustrates formal specification of the Android application’s ICC from its informal documentation. Android application components and their interaction with each other through ICC is currently viewed through its English documentation. The informal (English based) documentation for ICC can be intuitive and simple for application developers but it can not be used for formal reasoning. The informal specification of ICC is manually translated to a precise formal Coq specification that is machine readable. Once a formal specification defined in the logic of Coq is available, the Coq proof facility can be used to formally prove theorems about ICC. This is demonstrated by proving the correctness of Android ICC using the Coq proof facility. Furthermore, as the tools for security analysis normally rely on formal models [29], the formal model in Coq can provide a foundation for such tools for a rigorous and automated analysis of ICC. The major contributions of this paper are:
  • To enable a formal reasoning of Android’s ICC using computer tools, a formal model of the Android’s ICCs is built using the logic behind Coq theorem prover,

  • To demonstrate the effectiveness of our formal model, a simple Android application is encoded using the formal notations developed, and

  • To support proofs, formal proofs of crash-safety property in general and in particular for the encoded application are conducted using the proof facility of Coq.

The proposed solution CrashSafe offers twofold benefits including formal (i) proof of correctness of inter-component communication in Android systems and (ii) foundations for other tools to assess Android applications’ reliability and safety. The rest of the paper is organized as the following: In the next section, a brief overview of the Android application framework and ICC is given. In “Formalizing inter-component communication” section, the Coq formalization of the ICC and encoding of a simple application in the formal notations developed is presented. The proofs of correctness of Android ICC are listed in “Proofs” section. A summary of the related work is presented in “Related work” section and the paper is concluded in “Conclusion and future research” section.

Background

In this section, we present the background information and technical details about (i) Android application framework and its components, (ii) inter component communications along with (iii) types and (iv) structure of the intent. The concepts and terminologies introduced in this section are used throughout the paper.

Android application framework and components

Android application framework allows developers to build innovative applications for mobile devices using programming languages Koltlin, C++ and Java [18]. The Android SDK tools compile the application source code into an Android application package (APK) containing all the contents of Android application which is then used by Android-powered devices to install the application. Android operating system treats each application as a different user and assigns each of them a unique user ID. Each application is executed in isolation by a separate process using its own virtual machine. By default, Android implements the principle of least privilege, where each application is given permission only to access components required for its work and no more [17]. Applications with the same user ID (e.g., by sharing the same Linux user ID) can share data with each other and can run in the same process.

In Android systems, applications comprise of a number of components that can be classified into four main types namely: activity, service, receiver and provider. Each of these components provides a different entry point for the Android framework to manage the applications [9].
  • Activity is the entry-point for interacting with the user of the device through a single screen. It supports different types of activities performed in the Android application framework. Typical example of activity component are users’ activities such as interaction with the system, input to the system or manipulation of application’s logic and data. Specifically, user interface that allows application display and enables user interaction with it is managed by the activity component. A single application can have more than one activity and the user can switch between different activities.

  • Service component is a general-purpose entry point and supports variety of (background or foreground) services such as audio and visual notifications, component authentication, or application execution monitoring. Services may run in the background and perform long-running operations without necessarily providing any user interface. Alternatively, services may interact with users and notify them through service notifications. For example, an anti-spam application can continuously execute in the background and can update the user only when a potential spam is detected.

  • Broadcast receiver is the type of components that depends on other components to receive any activity or service to complete their functionality. For example, the broadcast receivers receive intents from Android application framework. Intents [19] are type of messages used by applications to request functionalities from other services or activities. Most of the broadcast messages originate from the system, for example, the system may announce that the battery is low. Applications may also initiate broadcasts to let other applications know about a broadcast event (e.g., when some data is downloaded and is available for them to use).

  • Content provider provides services or required functionality to other components through component communication. In other words, the content providers provide data storage to the applications. Other applications can access the data by querying the storage or even can modify it provided that the content provider allows it.

Intents

Android is a Linux-based operating system where each application is assigned a unique user ID and is run in an isolated virtual machine to provide better application management and security [37]. To work as a single entity for better user experience, Android applications uses intents, mediated by Android runtime, to share data and services with each other. This sharing can be inter-application (a component of one application communicate with a component of another) or intra-application (among components within an application). One component sends an intent including optional name of target component, name of action to be performed, data to operate on and category. The receiving component, likewise, include intent filter with specification of intents that it is interested to receive.

An action is a string that specifies the action to be performed (e.g., VIEW) or has happened and is reported (e.g., BATTERY_LOW). In addition, intent includes a (possibly empty) list of categories, each contains additional information about the component that should handle the intent. The data field of the intent include a uniform resource identifier (URI) to identify the data to act upon and the multi-purpose internet mail extensions (MIME) data type. The type of the data can be inferred from the data itself, though, it is important to add the type of data as it helps Android system to locate the most appropriate component for the intent. The intent fields just described are sufficient for the system to identify a relevant component it should start to receive the intent and hence are included in the formal definitions (“Formalizing inter‑component communication” section). There are additional fields to carry extra information as key-value pairs and flags to carry metadata, however, none of them affects the way an intent is resolved to a component.

Based on the way a set of target components are identified, intents are categorized as explicit and implicit. In an explicit intent, a component is addressed explicitly using a fully-qualified name and are normally used in an application to communicate with its own components as they are known to the owner. For explicit intent, the mechanism to find an appropriate component for an action is straight forward: the component is described by a full-qualified name inside the intent which the system can easily locate. On the other hand, in an implicit intent, a component is addressed using other fields action, data (URI and MIME type) and category. As a running example to understand intents and intent filters, consider an Email and a Browser application are installed on Android device. The Email application displays an email message, having a hyperlink to a web page, in an activity. When the user clicks on the link in the message displayed to the user by the activity of the Email application, the activity sends an intent to Android system for opening (viewing) the requested web page by the browser.

An implicit intent exampleIntent is created as an object of Intent class using the new constructor as shown in Listing 1. The target component name is not provided anywhere which makes the intent created implicit. The values for the fields action, category, data URI and data (MIME) type are added using methods setAction(), addCategory(), setData() and setType(), respectively on lines 3–7. The next function startActivity() on line 8 starts an activity for the desired action and provides the intent exampleIntent including other necessary data. The implicit intent in Listing 1 can be made explicit just by replacing the code on line 2 with Intent exampleIntent = new Intent(this, exampleActivity.class));. This code adds the name of target activity exampleActivity explicitly to the intent created.

Inter-component communication

For an application to communicate with another application, a component of the first application creates and sends an intent to a component of the target application, as shown in Fig. 2. The component A wants component B to perform some action on its data of a particular category. To do this, it creates an intent with name of action, data and its category and sends it to B, which performs the requested action on the data.
Fig. 2
Fig. 2

High-level description of inter-component communication [32]

Communication based on intents can be with or without the target component name in intent. If a target name is included in the intent (explicit intent), Android system passes on the intent to the target component. Inter-component communication using explicit intent is straight forward and is not included in this work. To address a component using an intent without the target component name (implicit intent), a general action is declared and the target is resolved by the Android system (runtime). The type of action in implicit intent, to be performed by a component, enables the system to find a set of appropriate components for that action. Finding the target component for an implicit intent is complicated: the system takes the intent’s data and looks for an appropriate set of components in the applications available on the mobile device. In case only one appropriate component is found, the system start that component, however, for more options, the system asks the user using a dialogue to choose from the list.

When a component intends to start another component using implicit intent (see example below), it sends an intent and the system looks for appropriate components by looking into the intent content (action) and comparing with intent filters declared in applications on the device. Android enforces this mechanism using intent filters (Listing 2) declared in a manifest file: application specifies the type of intents in its manifest file it should receive. For the Browser application to receive the intent created by the Email application (Listing 1), the Browser must have the filter as defined in Listing 2. This filter declares an action ACTION_VIEW, categories DEFAULT and BROWSABLE and data URL and type text/hmtl for an activity to display the web page in a tab. When the Browser application receives this intent, it is checked against the filter and as it can deliver the requested service (see proof of this in “Proofs” section), an activity of the Browser opens the web page from the URL provided in a tab. Declaring an intent filter for a component enable other applications to start it. A component, with no intent filter declared in manifest file, can only be started by an explicit intent.

The inter-component communication between two components in Fig. 2 appears a direct communication between two components A and B, but in fact it is mediated by the Android system as shown in Fig. 3. The Email application in our running example communicates with a different application to display a web page in response to the user click on a hyperlink received in the email opened by an activity of the Email application. Let assume, there exists application Browser that can better serve Email, but the latter does not know if the former exists or can perform the desired action. For this operation, the activity A of Email starts implicitly the activity B of Browser without mentioning the name of target as the following: (1) activity A creates the intent (in Listing 1) with action ACTION_VIEW it wants to be performed and passes it by calling the method startActivity(). (2) The Android system receives the intent sent by A and looks for a relevant component among components of applications currently installed on the device. Let assume it matches (the filter in Listing 2 of) activity B in application Browser. (3) Android system activates B by calling its method onCreate with the intent received from A and as result, the Browser application displays the requested web page in a tab. This sequence of events appears to the user from a single application (Email) but in-fact it is rendered by two different applications namely Email and Browser. This all happens seamlessly to the user using ICC.
Fig. 3
Fig. 3

Implicit inter-component communication [17]

Even though, ICC is the major mechanism for inter-application interactions and contributes to rich user experience of mobile computing, but there are design limitations [1] in it and is one of the favourite targets to security threats [7, 40]. In the next section, formal definitions of intents, intent filters and inter-component communication are described and used in the formal reasoning about inter-component communication.

Formalizing inter-component communication

In the context of Android’s ICC, when an application component intends to communicate with other component(s), it sends an explicit intent by providing the name of the component (if known), otherwise, an implicit intent (without the target name) is sent. Explicit intent does not require any evaluation and are simple to understand, while implicit intent requires a number of tests done by the system before an intent is passed on to an appropriate component. The existing specifications of intents, intent filters and the mechanism used to match a particular message request by a source component to a target component is informal and can not be used within formal proofs. In this section, the structure of implicit intent, intent filter and the mechanism to find the most appropriate component to receive implicit intent are formalized in theorem prover Coq. Such a formal definition can be used to prove theorems about intents, intent filters and inter-component communication using the Coq proof facility and the proof script can be checked mechanically using the Coq proof checker. The Coq source code and proofs of theorems are available on-line at [24].

Syntax of intent and intent filter

The main components of Android ICC are the data structures intent, intent filter and matching functions. An intent represents the content and the requested operation while the filter models a component. The data structures intent and intent filters are formalized in this sub-section and the matching functions are formalized in the next sub-section.

An implicit intent is a simple data structure containing the address and type of the data to act upon, the action to perform on data and some additional information. An intent is inductively defined in Coq as shown in Listing 3. The inductive definition consists of only one constructor (int, line 2) to construct elements (intents) of type intent. The constructor take as arguments an action, list of categories, URI and MIME type of the data. All the names (such as actions, categories, schemes, hosts and MIME types) are represented using the type atom defined in the library Atom, edited from [5]. The third argument of intent of type uri represents the content URI and is defined in Listing 4. A URI include optional elements scheme, host, port and path, represented by the arguments on lines 3, 4, 5 and 6, respectively. All the URI elements have type atom except port (line 5) which is modelled as a natural.

To map an intent to a component, the elements of an intent are matched against the elements in the intent filter of a component defined in the manifest file of Android application. Intent filter filter is inductively defined in Listing 5. The only constructor filt of type filter gets four arguments: list of actions, list of categories, list of content URIs and MIME types (lines 3, 4, 5 and 6, respectively). The definitions of intent and intent filters are used to define Android application (line 1, Listing 6) at a high level modelled as a list of intents that it may invoke to integrate with other applications on the device. The mobile device environment (line 2, Listing 6) is the list of applications on the mobile device, represented by the list of filters in all the applications installed.

Encoding Android application and environment

To demonstrate the applicability of our formal developments, a simple Android application and mobile device environment is created using formal notations defined. For simplicity, we assume the application consists of a single intent and the device contains a single application with just one intent filter. To realize this scenario, the intent and intent filter from Listings 1 and 2 are encoded in the formal notations developed in “Syntax of intent and intent filter” section. The encoding is used in a formal proof in next section.

The intent ingredients including the action ACTION_VIEW, two categories CATEGORY_DEFAULT and CATEGORY_BROWSABLE, data type text_html and elements (scheme, host, port and path) of data URL are defined of type atom in Listing 7 (lines 5–7). The URL of the web page (line 1, Listing 1) is defined on lines 8–9 with scheme, host, port number and path. All these parameters just defined are used to define intent and filter from Listings 1 and 2, respectively. In other words, the Coq definitions exampleintent and examplefilter of intent and filter (Listing 8) are the formal representations of the corresponding Java definitions in Listings 1 and 2. The implicit intent exampleintent is defined with action ACTION_VIEW, list of categories including CATEGORY_DEFAULT and CATEGORY_BROWSABLE, data URL and MIME type text_html. Similarly, the filter (for the Browser activity) is defined with a list of actions that it can perform, data categories, data URLs and types.

Finally, the example intent is used to define the application exampleapp (representing Email) and the filter is used to define the device environment exampleenv. The exampleenv represents the only application Browser on the device with one filter examplefilter. The major advantage of such formal definitions is that they can be used to mathematically reason about Android applications as demonstrated in “Proofs” section.

Intent resolution

After Android system receives an intent, it starts the appropriate target component for the intent based on the result of three tests [24] for action, category and data, respectively, against the corresponding elements in the intent filter of the target component. For an intent to resolve to a component, it must pass all these three tests. If the intent can not be resolved to any component, the source application may crash [17]. Following are the formal definitions of these three tests.

The action test is simple: the action in intent is matched against actions in the filter. This is modelled by the function testaction defined using the keyword Definition in Listing 9. The function definition in turn is using another function find which searches the action of type atom in intent (first argument) in the list of actions in filter (second argument). The space holder _ is used to represent arguments whose values are not important in the function body. The category test compares all the categories in the intent with the categories in the filter. The recursive function testcategory (Listing 10) takes a list of categories (of type atom) and categories listed in the intent filter and checks if all the categories in intent exist in the filter.

The third test, defined as a recursive function testdata in Listing 11, checks if the URI and MIME type of the content in the intent exist in the list of URIs and MIME types in the intent filter. Based on whether or not the URI and/or MIME type exists in the intent and/or filter, there are five different results. The first four cases in the function body (lines 4–10) correspond to the four rules on Android developers’ website [19]. These (informal) rules are (formally) implemented using pattern matching on the four arguments namely, intent URI (iuri), intent type (itype), list of URIs in filter (filuris) and list of MIME types in filter (filtypes).

The first rule states that an intent with no URI and no MIME type passes the test if there are no URI and MIME types listed in the filter. This is represented on the line 4 where values of all the four arguments are None (option type) or nil (list). The second case (line 5) models rule b in the documentation, which states that an intent with a URI but no MIME type can be accepted only if its URI matches a URI pattern in the filter and the MIME type specification list is empty. The rule c is represented by the case 3 (line 7). An intent with only MIME type can pass the test if the same type exists in the list of types in the filter and there is no URI specification in the filter. The fourth rule is modelled by the case 4 (lines 8–10). An intent with URI and MIME type is accepted only if both, the URI and MIME type, matches with URI and MIME type in the filter. In all other cases, such as | None, None, cons u’ ul, cons t’ tl \(\Rightarrow\) false, implicitly included in the code using space holders on line 11, the test fails.

The function testdata is calling two other functions testtype and testuri (lines 6, 7 and 9, Listing 11). For the first rule of function testdata, there is no URI and no MIME type and the result is true. For the next three rules, however, at least one of the URI and MIME type exists and the corresponding test function(s) is/are called. The test function testtype (Listing 12) is simple: it searches intent type in the list of filter types. If there is no intent type and likewise the filter does not require one (list of types in filter is empty), the test is passed. The formalization include explicit types and does not model implicit types. In the later case, the type would be inferred from the URI.

The definition of testuri is shown in Listing 13. It gets the list of filter URIs and the intent URI as arguments and compares the intent URI to a URI specification in the filter by comparing it only to the parts of URI included in the filter. In the first case, no URI in the intent, test is passed. The next six cases (lines 4–25) models the text If a scheme is not specified \(\dots\) authority, and path pass the filter. in the official documentation [19]. The last case (lines 26–31) represents the tests for all other cases: the axillary function cmpoattr compares the optional filter URI attribute with an intent URI attribute. For the attribute test to pass, the intent must include the same attribute listed in the filter and for the URI test to pass, all the attributes must pass the attribute test.

Finally, all the tests are combined together in function resolve defined in Listing 14. This function gets an intent and a filter and returns true if all the tests, namely testaction, testcategory and testdata, are passed. In other words, given an intent and a filter, the formal developments enable one to check if an intent would resolve to (accepted by) a component.

Application crash-safety

After intent, intent filter and intent resolution are defined, Android applications’ safety against crashes due to intents is formally defined. The definition resolve is used to formally describe crash-safety property intent_crash_safety of an intent (Listing 15). This property is too strong: it defines an intent is crash safe if it must be accepted by the filter. To define crash-safety of an intent with respect to the entire device, a recursive function intent_crash_safetey_env is defined in Listing 16. An intent is crash-safe in the device if there exists at least an application (filter) that accepts the intent.

Finally, a crash-safe application is defined in Listing 17. An application (represented by the intents it may invoke) is crash-safe if every intent it may invoke resolves to an application component (represented by a filter) on the device. In the next section (“4” section), we formally prove that the example Android application with invoked intent exampleintent does not crash in the context of another application examplefilter on the device.

Proofs

In the previous sections, Android intent and intent filter were formalized and a high level formal model of Android ICC was built. The formalized definitions are rigorous, precise and can be used to formally reason about the ICC using computer-aided verification tool Coq. Using the logic of Coq proof assistant, formal proofs can be carried and checked mechanically using Coq proof checker. To demonstrate the significance of formal developments carried in “Formalizing inter-component communication” section, following formal proofs are carried out in this section:

Proof of application crash-safety

When an application invokes an intent, there must be an application on the mobile device to handle the intent, otherwise, the application that invoked the intent will crash [20]. Android platform ‘guarantees’ an intent must resolve to an application. The existing enforcement mechanism is to test, there exists an activity to respond to the invoked intent, when the source application activity first starts. The Java code to perform such a test is listed in Listing 18. The value of the boolean variable isIntentSafe determines if invoking the intent is safe for the application. Such tests are performed dynamically at run time after the application is deployed which is too late to avoid bad user experience. Furthermore, there is no proof of guarantee of robustness of the test and hence no proof of guarantee of application crash safety. In this section, we formally prove for the Email application whether or not the intent it generates resolves to the application Browser. It follows the proof of crash-safety of the application built from the example intent (by the Email app) in the environment created from the example filter (by the Browser app).

For the first proof, a general proof of intent resolution is carried (theorem resolve_intent, Listing 19) which is used in the proof of resolution of our example intent exampleintent to filter examplefilter from Listing 8 (theorem exampleintent_res_to_examplefilter, Listing 20). Theorem resolve_intent defined in Listing 19 states that given an intent and a filter, if the intent passes action, category and data tests, it will be accepted by the application component with the filter defined in its manifest file. Note that the intent is constructed using the intent fields (the arguments of constructor int in Listing 3). This theorem is proved by first unfolding the definition of function resolve (using tactic unfold) and then using rewriting and simplification by Coq commands (tactics) rewrite and simpl, respectively. The proof of this theorem begins with keyword Proof at line 6 and ends at line 13. The last tactic Qed adds the proof to internal database for later retrieval in other proofs (see proof in Listing 20 for an example).

The proof of theorem exampleintent_res_to_examplefilter in Listing 20 formally verifies that the intent exampleintent resolves to filter examplefilter. This theorem is proved by first unfolding the definition of intent_crash_safety and then applying the theorem resolve_intent. This opens up three sub-goals which are closed by case analysis on the definition of equality using tactic destruct and rewriting an axillary lemma eq_dec_atom_same (see source code [24] for all definitions and proofs).

Finally, the example application Email modelled as exampleapp from Listing 8 is proved crash-safe in the device environment exampleenv with one application Browser modelled as examplefilter in Listing 8. The theorem exampleapp_is_crash_safe_app (Listing 21) states that the Email application can safely invokes the intent for opening a URL in a browser tab by requesting the Browser application installed on the mobile device.

Proof of broadcast resolution

A broadcast is a message wrapped in an intent and is received by any application that has declared a broadcast receiver, most commonly, in its manifest file. The method sendBroadcast(intent) is used to send a broadcast intent to multiple receivers. Using the developed formal setting, a formal proof that a broadcast message is indeed received by the applications subscribed for it (by declaring a receiver), is carried in Coq theorem prover.

To do this, first a broadcast message (intent) is precisely defined in Listing 22. A broadcast intent is accepted (resolved to) by every application inside Android device environment that has declared a receiver for it. For simplicity, we assume every application on the mobile device (system) has declared broadcast receiver. This concept is formalized using recursive function broadcast in Listing 22. It takes an intent and system environment (list of applications’ filters) and returns true if the intent is accepted by every application on the device.

Theorem 4 (Listing 23) states if an intent in a system is broadcast, it must resolve to (accepted by) every application on the system. This theorem is proved using rewriting, unfolding the definitions of function broadcast and then using case analysis on the boolean argument of andb. This later would generate two sub-goals: the first one is easy and is closed using tactic auto and the second one is closed using inversion. In addition to tactics used in earlier proofs, this proof is using an axillary lemma broadcast_append, tactics In_split and inversion.

Robust environment extension

Given a mobile environment and an application, it was formally verified in “Proof of application crash-safety” section that the application is safe in the environment. With the passage of time, it is normal for the user to install more applications and/or extend the intent filters of existing ones. It is necessary to ensure such an extension does not invalidate the guarantee previously provided. To further highlight the usefulness of our formal framework, we carry formal proof of application safety (Listing 24) and then prove that extending the filter with more categories is safe (Listing 25).

The Coq script in Listing 24 defines a general URL, intent and a filter. The theorem aninttent_resoves_to_filter formally proves that the intent resolves to (be accepted) by the components with filter afilter. In Listing 25, it is checked that the same intent also resolves to an extended (with categories cats) intent filter afilterplus. In other words, the proof of theorem aninttent_resoves_to_filterplus in Listing 25 confirms that if further categories are added to a filter, the application sending the intent is still safe and will not crash. Note that, variables a, c, p, s, h, cats used in definitions in Listings 24, 25 range over any action, category, path, scheme, host and categories, it generalizes the scope of the formal guarantees to any application and system.

Evaluation of the formal model

Demonstrating the usability of formal definitions of intent, filter and ICC, the proofs given in Listings 20, 21, 23, 24 and 25 statically (before executing them) guarantees that the applications invoking the intent will never fail given the conditions. These conditions are formally stated on lines 2–3 for the last theorem in Listing 23. For the theorems in Listings 20 and 21, there is no condition (hypothesis) and the proofs are guaranteed for the specific example intent and filter. The major advantage of proofs carried in mechanical theorem prover Coq is that the proof scripts are rigorous and their correctness can be checked using computer.

Formal modelling and proofs using interactive theorem prover, such as Coq, are more expressive and powerful than conventional simulation and formal proofs using model checking [10]. Simulation and model checking based approaches can be used to prove functional properties, however, they cannot be used to guarantee safety and security properties or can prove but with limited scope. Formal methods based on interactive theorem proving overcomes the disadvantages (e.g., state explosion problem) of model checking [3]. As the formal model CrashSafe has been defined in interactive theorem prover Coq, the formal developments and proofs are rigorous, reliable, have wide spread scope and can be mechanically checked. It can be used to prove safety properties of Android applications and can serve as a formal specification of Android ICC. The formal model, for example, can be applied to mathematically prove the shift of JavaScript process from a browser application on to a cloud-based computer for better performance [25] preserves the intended functionality.

Related work

There is a body of research carried to support secure mobile computing [34] in general and Android systems security [13, 14], in particular. In this section, we highlight the most relevant research related to ICC that is focused on application failures and security issues involving intents. From Android’s mobile platform’s perspective, ICC using intents is the major message passing technique among Android components and one of the major sources of application failures: both data and control can flow between the components, which can be exploited to leak secret information such as contacts. Android security in terms of data and control flows through ICC have been studied using static [9, 32, 35, 40] and dynamic [6, 11] analysis techniques.

Application crashes due to ICC

The most relevant research work is the study of Android applications crashes due to ICC. Ye et al. built an automated testing tool DroidFuzzer [41] to find bugs in Android applications. The tool, tailored towards activity components of applications, creates (crash) logs of abnormal data based on the data types (video and audio) a target component can accept as described in its intent filter. The tool was evaluated against three applications, two music players and one browser, using Android emulator and found 14 bugs. DroidFuzzer is limited only to activity component of Android applications and addresses applications crashes caused by the type of data. The formal analysis in this paper, on the other hand, studies crashes in any type of application component caused by any parameter of the intent (including data type, URL, action and category). A similar tool, intent fuzzer [35], was built for fuzzing inter-component communication in Android. Similar to DroidFuzzer, intent fuzzer generates a set of empty intents that a component can receive based on action and data type parameters. Inter fuzzer is rich in terms of coverage as it considers action, in addition to data type considered in DroidFuzzer. The most recently developed tool is CrashScope [30]. CrashScope automatically test Android applications using a systematic input generation based on several static and dynamic strategies and generates detailed crash reports in natural language formate. Another tool VanarSena [33] was developed for reporting crashes in applications by dynamically analysing applications’ behaviour at runtime. The tool has been extensively tested against 3000 applications and found 2969 bugs. As VanarSena has been developed for and tested against Windows applications, we consider it orthogonal to our work.

The first fundamental difference between these tools and the work in this paper is that the former find bugs in applications using their data receiving capabilities (by generating several input pattens) while our work checks if an application crashes based on the receiving capabilities of other applications. The second difference is that these tools creates set of intents from the given data using mutation while our work generalizes on all possible intents using universal quantification. The third, and the most important, difference is that the approaches described do not have formal foundation and hence can be used to detect presence of failures/crashes but the formal model built in Coq can be used to prove absence of crashes in applications, the later being more power full approach.

Tools and frameworks for ICC analysis

Amandroid [40] is a framework that is tailored for Android applications to analyse their inter-component data flow. It captures both control and data flows by building a precise flow and context-sensitive inter-component data flow graph for application. The graph includes ICC edges and data and control can flow through these edges. A flow and context-sensitive algorithm is used to match the inter-component call source to the target. The flows are tracked by first inferring parameters for Android API calls for ICC, then resolve to the target (implicit or explicit) component(s) and track the flow from the source to target. There are other tools such as JarJarBinks [28] used to find bugs and study robustness of ICC in Android applications.

Chin et al. provided a tool ComDroid [9] for Android applications analysis. They analysed Davlik bytecode and detected vulnerabilities in inter-application communication of Android. Based on static analysis, ComDroid can detect a range of vulnerabilities including intent spoofing, broadcast theft, activity and service hijacking. Bugliesi et al. [7] developed a formal framework for the analysis of ICC. Their framework is based on typing techniques and include a formal calculus to reason about ICC. They implemented a prototype called Lintent that performs security type checking for Android applications.

Methods and techniques for ICC analysis

Later on, inspired from ComDroid [9], Octeau et al. [31] adopted a more general approach and developed a solver using a declarative language COAL. Using COAL, the inter-component objects are modelled and the required values of objects are inferred by taking the correlation between object fields. Even though, the solver applied to Android, it can be used in general static program analysis, in particular, where values of objects need to be inferred. Li et al. proposed a static taint analyser IccTA [26] for detecting leaks in ICC by tainting data. IccTA work on Dalvik bytecode and can detect inter-component based privacy leaks by providing a control-flow graph.

Addressing ICC as an instance of interprocedural distributive environment, Octeau et al. [32] developed a static analysis technique. In their approach, a specification is identified for every source and target of the ICC. The specification include values such as component name, action, category and data type and infers the missing values. By using [32], an analysis tool Epicc has been developed and more than a thousand applications were analysed for ICC vulnerabilities. Epicc analyses retargeted Java bytecode and does not handle URIs and content providers.

The state-of-the-art research work addresses Android security in terms of information leaks [26, 40] through ICC or finds bugs and vulnerabilities in ICC [7, 9, 28, 32]. On the contrary, CrashSafe checks application’s safety against crashes caused by ICC. The tools DroidFuzzer [41], intent fuzzer [35], CrashScope [30] and VanarSena [33] investigate Applications’ safety against crashes caused by ICC, however, their results can not be formally guaranteed. Furthermore, they are limited only to activities of applications [41], lack support for Android applications [33], or addresses applications’ failures based on their own receiving capabilities. CrashSafe, on the other hand, has a formal foundation which makes it more rigorous, powerful and allows one to mathematically reason about all components of applications.

Conclusion and future research

Inter-component communication is the major mechanism for Android applications to share data and services with each other through messages called intents. An Android application crashes if it invokes an intent that cannot be received by any application on the phone. Application failures frustrates users and push them towards competitors, therefore, developers need to test their applications before deployment to avoid unpredictable behaviour and crashes at runtime. The official documentation for inter-component communication is not rigorous and hence can not be precisely studied, interpreted and used to reason about inter-component communication. In this paper, a formal model of the inter-component communication, dubbed as CrashSafe, was built in theorem prover Coq. The formal developments include formal definition of intents, applications (modelled as intent filters) and definitions of conditions to receive messages. The formal notations were used to encode simplified versions of an Email and a Browser application and it was proved the Email application can safely request the Browser application to open a web page in a tab. The formal model, in addition, was used in proving the correctness of the intent broadcasts. The formal model CrashSafe enables one to (i) check the correctness of inter-component communication in Android systems and (ii) establishes a formal foundation for other tools to assess Android applications’ reliability and safety, while at the same time it is simple to understand and use as formal specification. The widespread use of Android in the global market makes our formal developments useful for most of the mobile device users.

Dimensions of future research The formal proof of crash-safety was carried for Android applications represented at a high level. It would be more interesting had the proof been carried for applications including all the elements (e.g., all the filters and intents involved in the Email and Browser applications). The current model is targeted towards Android system and hence cannot be used to asses applications’ reliability developed using other popular platforms such as Apple’s iOS. To assess the formal model and increase its practicality in real-life environment, a proof-of-concept tool implementing the logic behind the formal model needs to be developed.

Abbreviations

iOS: 

Apple’s operating system

SDK: 

software development kit

API: 

application programming interface

ICC: 

inter-component communication

TV: 

television

APK: 

application package

ID: 

identifier

URI: 

uniform resource identifier

MIME: 

multi-purpose internet mail extensions

URL: 

universal resource locator

COAL: 

computer organization and assembly language

Declarations

Authors' contributions

WK, AA and HU defined the Coq formalization, carried Coq proofs and wrote the paper in LaTeX. KS, AJA and SDK investigated the literature and created Figs. 1 and 3. The definitions of Email and Browser applications in Java were defined and encoded in the formal syntax by MA and SA. All the authors reviewed the existing paper and helped improving its structure. All authors read and approved the final manuscript.

Acknowledgements

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

We have provided Coq source code and proofs of theorems—as extended details for interested readers—in [24].

Funding

Not application.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
COMSATS University, Islamabad, Wah Campus, Wah Cantt, Pakistan
(2)
College of Computer Science and Engineering, University of Hail, Hail, Kingdom of Saudi Arabia

References

  1. Ahmad W, Kästner C, Sunshine J, Aldrich J (2016) Inter-app communication in android: developer challenges. In: Proceedings of the 13th international conference on mining software repositories. ACM, New York, pp 177–188Google Scholar
  2. Apple Inc (2017) Apple Apps Store. https://itunes.apple.com/us/genre/ios/id36?mt=8. Accessed June 2017
  3. Armstrong RC, Punnoose RJ, Wong MH, Mayo JR (2014) Survey of existing tools for formal verification. Tech Rep, Sandia National LaboratoriesGoogle Scholar
  4. Arshad H, Jantan AB, Abiodun OI (2018) Digital forensics: review of issues in scientific validation of digital evidence. J Inf Process Syst 14(2):346–376Google Scholar
  5. Aydemir B, Charguéraud A, Pierce BC, Pollack R, Weirich S (2008) Engineering formal metatheory. In: Acm sigplan notices, vol 43. ACM, New York, pp 3–15Google Scholar
  6. Bugiel S, Davi L, Dmitrienko A, Fischer T, Sadeghi AR, Shastry B (2012) Towards taming privilege-escalation attacks on android. In: NDSS, vol 17, p 19Google Scholar
  7. Bugliesi M, Calzavara S, Spanò A (2013) Lintent: towards security type-checking of android applications. In: Formal techniques for distributed systems. Springer, Berlin, pp 289–304Google Scholar
  8. Chaudhuri A (2009) Language-based security on android. In: Proceedings of the ACM SIGPLAN fourth workshop on programming languages and analysis for security. ACM, New York, pp 1–7Google Scholar
  9. Chin E, Felt AP, Greenwood K, Wagner D (2011) Analyzing inter-application communication in android. In: Proceedings of the 9th international conference on Mobile systems, applications, and services. ACM, New York, pp 239–252Google Scholar
  10. Clarke EM, Grumberg O, Peled D (1999) Model checking. MIT press, CambridgeGoogle Scholar
  11. Dietz M, Shekhar S, Pisetsky Y, Shu A, Wallach DS (2011) Quire: lightweight provenance for smart phone operating systems. In: USENIX security symposium, vol 31Google Scholar
  12. Dinh HT, Lee C, Niyato D, Wang P (2013) A survey of mobile cloud computing: architecture, applications, and approaches. Wireless Commun Mobile Comput 13(18):1587–1611View ArticleGoogle Scholar
  13. Enck W, Ongtang M, McDaniel P (2009) Understanding android security. IEEE Secur Privacy 7(1):50–57View ArticleGoogle Scholar
  14. Faruki P, Bharmal A, Laxmi V, Ganmoor V, Gaur MS, Conti M, Rajarajan M (2015) Android security: a survey of issues, malware penetration, and defenses. IEEE Commun Surv Tutorials 17(2):998–1022View ArticleGoogle Scholar
  15. Felt AP, Chin E, Hanna S, Song D, Wagner D (2011) Android permissions demystified. In: Proceedings of the 18th ACM conference on computer and communications security. ACM, New York, pp 627–638Google Scholar
  16. Google Inc. Android Apps on Google Play. https://play.google.com/store/apps?hl=en
  17. Google Inc. Android. https://www.android.com/
  18. Google Inc (2017) Application fundamentals. https://developer.android.com/guide/components/fundamentals.html. Accessed June 2017
  19. Google Inc (2017) Intents and intent filters. https://developer.android.com/guide/components/intents-filters.html. Accessed June 2017
  20. Google Inc (2018) Sending the User to Another App. https://developer.android.com/training/basics/intents/sending.html. Accessed May 2018
  21. Hall SP, Anderson E (2009) Operating systems for mobile computing. J Comput Sci Coll 25(2):64–71Google Scholar
  22. INRIA. The Coq Proof Assistant. https://coq.inria.fr/
  23. Kantola D, Chin E, He W, Wagner D (2012) Reducing attack surfaces for intra-application communication in android. In: Proceedings of the second ACM workshop on security and privacy in smartphones and mobile devices. ACM, New York, pp 69–80Google Scholar
  24. Khan W, Habib U, Akash A, Khalid S, Sultan Daud K (2017) Coq Script. https://github.com/wilstef/android-ipc. Accessed June 2017
  25. Kim D (2017) Cloud computing to improve Javascript processing efficiency of mobile applications. J Inf Process Syst 13(4):4Google Scholar
  26. Li L, Bartel A, Bissyandé TF, Klein J, Le Traon Y, Arzt S, Rasthofer S, Bodden E, Octeau D, McDaniel P (2015) Iccta: detecting inter-component privacy leaks in android apps. In: Proceedings of the 37th international conference on software engineering, vol 1. IEEE Press, pp 280–291Google Scholar
  27. Maheshwari S (2018) That game on your phone may be tracking what you’re watching on tv. https://www.nytimes.com/2017/12/28/business/media/alphonso-app-tracking.html
  28. Maji AK, Arshad FA, Bagchi S, Rellermeyer JS (2012) An empirical study of the robustness of inter-component communication in android. In: 2012 42nd annual IEEE/IFIP international conference on dependable systems and networks (DSN), pp 1–12Google Scholar
  29. Meier S, Schmidt B, Cremers C, Basin D (2013) The tamarin prover for the symbolic analysis of security protocols. In: International conference on computer aided verification. Springer, Berlin, pp 696–701Google Scholar
  30. Moran K, Linares-Vásquez M, Bernal-Cárdenas C, Vendome C, Poshyvanyk D (2017) Crashscope: a practical tool for automated testing of android applications. In: 2017 IEEE/ACM 39th international conference on software engineering companion (ICSE-C), pp 15–18Google Scholar
  31. Octeau D, Luchaup D, Dering M, Jha S, McDaniel P (2015) Composite constant propagation: application to android inter-component communication analysis. In: Proceedings of the 37th international conference on software engineering, vol 1, IEEE Press, pp. 77–88Google Scholar
  32. Octeau D, McDaniel P, Jha S, Bartel A, Bodden E, Klein J, Le Traon Y (2013) Effective inter-component communication mapping in android with epicc: an essential step towards holistic security analysis. In: Proceedings of the 22nd USENIX security symposium, pp. 543–558Google Scholar
  33. Ravindranath L, Nath S, Padhye J, Balakrishnan H (2014) Automatic and scalable fault detection for mobile applications. In: Proceedings of the 12th annual international conference on mobile systems, applications, and services. ACM, New York, pp 190–203Google Scholar
  34. Sajjad M, Abbasi AA, Malik A, Altamimi AB, Alseadoon IM (2018) Classification and mapping of adaptive security for mobile computing. IEEE Trans Emerg Topics Comput. https://doi.org/10.1109/TETC.2018.2791459 Google Scholar
  35. Sasnauskas R, Regehr J (2014) Intent fuzzer: crafting intents of death. In: Proceedings of the 2014 joint international workshop on dynamic analysis (WODA) and software and system performance testing, debugging, and analytics (PERTEA). ACM, New York, pp 1–5Google Scholar
  36. Satyanarayanan M (2010) Mobile computing: the next decade. In: Proceedings of the 1st ACM workshop on mobile cloud computing & services: social networks and beyond. ACM, New York, p 5Google Scholar
  37. Schmidt AD, Schmidt HG, Clausen J, Yuksel KA, Kiraz O, Camtepe A, Albayrak S (2008) Enhancing security of linux-based android devices. In: Proceedings of 15th international Linux Kongress. LehmannGoogle Scholar
  38. Shao J, Kuk G, Terrell M, Chen S (2014) Why do applications request my contacts data? a large-scale study on openness and control of user contacts permission in android mobile applicaitons marketplace. Front Bus Res China 8(1):113–135Google Scholar
  39. The Statistics Portal. Global mobile OS market share 2009–2017, by quarter. https://www.statista.com/statistics/266136/global-market-share-held-by-smartphone-operating-systems/
  40. Wei F, Roy S, Ou X et al (2014) Amandroid: a precise and general inter-component data flow analysis framework for security vetting of android apps. In: Proceedings of the 2014 ACM SIGSAC conference on computer and communications security. ACM, New York, pp 1329–1341Google Scholar
  41. Ye H, Cheng S, Zhang L, Jiang F (2013) Droidfuzzer: fuzzing the android apps with intent-filter tag. In: Proceedings of international conference on advances in mobile computing & multimedia. ACM, New York, p 68Google Scholar

Copyright

© The Author(s) 2018

Advertisement