OWASP Mobile Security Project

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PROJECT INFO
What does this OWASP project offer you?
RELEASE(S) INFO
What releases are available for this project?
what is this project?
Name: OWASP Mobile Security Project (home page)
Purpose: Our primary focus is at the application layer. While we take into consideration the underlying mobile platform and carrier inherent risks when threat modeling and building controls, we are targeting the areas that the average developer can make a difference. Additionally, we focus not only on the mobile applications deployed to end user devices, but also on the broader server-side infrastructure which the mobile apps communicate with. We focus heavily on the integration between the mobile application, remote authentication services, and cloud platform-specific features.
License: N/A
who is working on this project?
Project Leader(s):
Project Contributor(s):
how can you learn more?
Project Pamphlet: Not Yet Created
Project Presentation: View
Mailing list: Mailing List Archives
Project Roadmap: View
Key Contacts
  • Contact the GPC to report a problem or concern about this project or to update information.
current release
Not Yet Published
last reviewed release
Not Yet Reviewed


other releases

For Security Testers

Projects/OWASP Mobile Security Project - Security Testers

Secure Development Guidelines

Secure Mobile Development Guidelines Objective

The OWASP Secure Development Guidelines will provide developers with the knowledge they need to build secure mobile applications. An extendable framework will be provided that includes the core security flaws found across nearly all mobile platforms. It will be a living reference where contributors can plug in newly exposed APIs for various platforms and provide good/bad code examples along with remediation guidance for those issues.

Top Ten Mobile Risks


About this list

In 2013 we polled the industry for new vulnerability statistics in the field of mobile applications. What you see here is a result of that data and a representation of the mobile application threat landscape.


Our road-map for 2014 includes:

2014-01-26 20-23-29.png
  • More updates to the wiki content; including cross-linking to testing guides, more visual exercises, etc.
  • A PDF release.


This list is still a work in progress. We are small group doing this work and could use more help! If you are interested, please contact one of the project leads.

Feel free to visit the mailing list as well!

Top 10 Mobile Risks - Re-Release Candidate 2014 v1.0


Project Leads, Credit, and Contributions


Project Methodology


Archive

  • The list below is the OLD release candidate v1.0 of the OWASP Top 10 Mobile Risks.  This list was initially released on September 23, 2011 at Appsec USA.  


Top Ten Mobile Controls

OWASP/ENISA Collaboration

OWASP and the European Network and Information Security Agency (ENISA) collaborated to build a joint set of controls. ENISA has published the results of the collaborative effort as the "Smartphone Secure Development Guideline": http://www.enisa.europa.eu/activities/application-security/smartphone-security-1/smartphone-secure-development-guidelines

OWASP Mobile Top 10 Controls.jpg

Contributors

This document has been jointly produced with ENISA as well as the following individuals:

  • Vinay Bansal, Cisco Systems
  • Nader Henein, Research in Motion
  • Giles Hogben, ENISA
  • Karsten Nohl, Srlabs
  • Jack Mannino, nVisium Security
  • Christian Papathanasiou, Royal Bank of Scotland
  • Stefan Rueping, Infineon
  • Beau Woods, Stratigos Security

Top 10 mobile controls and design principles

1. Identify and protect sensitive data on the mobile device

Risks: Unsafe sensitive data storage, attacks on decommissioned phones unintentional disclosure: Mobile devices (being mobile) have a higher risk of loss or theft. Adequate protection should be built in to minimize the loss of sensitive data on the device.

  • 1.1 In the design phase, classify data storage according to sensitivity and apply controls accordingly (e.g. passwords, personal data, location, error logs, etc.). Process, store and use data according to its classification. Validate the security of API calls applied to sensitive data.
  • 1.2 Store sensitive data on the server instead of the client-end device. This is based on the assumption that secure network connectivity is sufficiently available and that protection mechanisms available to server side storage are superior. The relative security of client vs server-side security also needs to be assessed on a case-by-case basis (see ENISA cloud risk assessment (3) or the OWASP Cloud top 10 (4) for decision support).
  • 1.3 When storing data on the device, use a file encryption API provided by the OS or other trusted source. Some platforms provide file encryption APIs which use a secret key protected by the device unlock code and deleteable on remote kill. If this is available, it should be used as it increases the security of the encryption without creating extra burden on the end-user. It also makes stored data safer in the case of loss or theft. However, it should be born in mind that even when protected by the device unlock key, if data is stored on the device, its security is dependent on the security of the device unlock code if remote deletion of the key is for any reason not possible.
  • 1.4 Do not store/cache sensitive data (including keys) unless they are encrypted and if possible stored in a tamper-proof area (see control 2).
  • 1.5 Consider restricting access to sensitive data based on contextual information such as location (e.g. wallet app not usable if GPS data shows phone is outside Europe, car key not usable unless within 100m of car etc...).
  • 1.6 Do not store historical GPS/tracking or other sensitive information on the device beyond the period required by the application (see controls 1.7, 1.8).
  • 1.7 Assume that shared storage is untrusted - information may easily leak in unexpected ways through any shared storage. In particular:
    • Be aware of caches and temporary storage as a possible leakage channel, when shared with other apps.
    • Be aware of public shared storage such as address book, media gallery and audio files as a possible leakage channel. For example storing images with location metadata in the media-gallery allows that information to be shared in unintended ways.
    • Do not store temp/cached data in a world readable directory.
  • 1.8 For sensitive personal data, deletion should be scheduled according to a maximum retention period, (to prevent e.g. data remaining in caches indefinitely).
  • 1.9 There is currently no standard secure deletion procedure for flash memory (unless wiping the entire medium/card). Therefore data encryption and secure key management are especially important.
  • 1.10 Consider the security of the whole data lifecycle in writing your application (collection over the wire, temporary storage, caching, backup, deletion etc)
  • 1.11 Apply the principle of minimal disclosure - only collect and disclose data which is required for business use of the application. Identify in the design phase what data is needed, its sensitivity and whether it is appropriate to collect, store and use each data type.
  • 1.12 Use non-persistent identifiers which are not shared with other apps wherever possible - e.g. do not use the device ID number as an identifier unless there is a good reason to do so (use a randomly generated number – see 4.3). Apply the same data minimization principles to app sessions as to http sessions/cookies etc.
  • 1.13 Applications on managed devices should make use of remote wipe and kill switch APIs to remove sensitive information from the device in the event of theft or loss. (A kill-switch is the term used for an OS-level or purpose-built means of remotely removing applications and/or data).
  • 1.14 Application developers may want to incorporate an application-specific "data kill switch" into their products, to allow the per-app deletion of their application's sensitive data when needed (strong authentication is required to protect misuse of such a feature).

2. Handle password credentials securely on the device

Risks: Spyware, surveillance, financial malware. A user's credentials, if stolen, not only provide unauthorized access to the mobile backend service, they also potentially compromise many other services and accounts used by the user. The risk is increased by the widespread of reuse of passwords across different services.

  • 2.1 Instead of passwords consider using longer term authorization tokens that can be securely stored on the device (as per the OAuth model). Encrypt the tokens in transit (using SSL/TLS). Tokens can be issued by the backend service after verifying

Smartphones secure development guidelines for app developers the user credentials initially. The tokens should be time bounded to the specific service as well as revocable (if possible server side), thereby minimizing the damage in loss scenarios. Use the latest versions of the authorization standards (such as OAuth 2.0). Make sure that these tokens expire as frequently as practicable.

  • 2.2 In case passwords need to be stored on the device, leverage the encryption and key-store mechanisms provided by the mobile OS to securely store passwords, password equivalents and authorization tokens. Never store passwords in clear text. Do not store passwords or long term session IDs without appropriate hashing or encryption.
  • 2.3 Some devices and add-ons allow developers to use a Secure Element e.g. (5) (6) – sometimes via an SD card module - the number of devices offering this functionality is likely to increase. Developers should make use of such capabilities to store keys, credentials and other sensitive data. The use of such secure elements gives a higher level of assurance with the standard encrypted SD card certified at FIPS 140-2 Level 3. Using the SD cards as a second factor of authentication though possible, isn't recommended, however, as it becomes a pseudo-inseparable part of the device once inserted and secured.
  • 2.4 Provide the ability for the mobile user to change passwords on the device.
  • 2.5 Passwords and credentials should only be included as part of regular backups in encrypted or hashed form.
  • 2.6 Smartphones offer the possibility of using visual passwords which allow users to memorize passwords with higher entropy. These should only be used however, if sufficient entropy can be ensured. (7)
  • 2.7 Swipe-based visual passwords are vulnerable to smudge-attacks (using grease deposits on the touch screen to guess the password). Measures such as allowing repeated patterns should be introduced to foil smudge-attacks. (8)
  • 2.8 Check the entropy of all passwords, including visual ones (see 4.1 below).
  • 2.9 Ensure passwords and keys are not visible in cache or logs.
  • 2.10 Do not store any passwords or secrets in the application binary. Do not use a generic shared secret for integration with the backend (like password embedded in code). Mobile application binaries can be easily downloaded and reverse engineered.

3. Ensure sensitive data is protected in transit

Risks: Network spoofing attacks, surveillance. The majority of smartphones are capable of using multiple network mechanisms including Wi-Fi, provider network (3G, GSM, CDMA and others), Bluetooth etc. Sensitive data passing through insecure channels could be intercepted. (9) (10)

  • 3.1 Assume that the provider network layer is not secure. Modern network layer attacks can decrypt provider network encryption, and there is no guarantee that the Wi-Fi network will be appropriately encrypted.
  • 3.2 Applications should enforce the use of an end-to-end secure channel (such as SSL/TLS) when sending sensitive information over the wire/air (e.g. using Strict Transport Security - STS (11)).This includes passing user credentials, or other authentication equivalents. This provides confidentiality and integrity protection.
  • 3.3 Use strong and well-known encryption algorithms (e.g. AES) and appropriate key lengths (check current recommendations for the algorithm you use e.g. (12) page 53).
  • 3.4 Use certificates signed by trusted CA providers. Be very cautious in allowing self- signed certificates. Do not disable or ignore SSL chain validation.
  • 3.5 For sensitive data, to reduce the risk of man-in-middle attacks (like SSL proxy, SSL strip), a secure connection should only be established after verifying the identity of the remote end-point (server). This can be achieved by ensuring that SSL is only established with end-points having the trusted certificates in the key chain.
  • 3.6 The user interface should make it as easy as possible for the user to find out if a certificate is valid.
  • 3.7 SMS, MMS or notifications should not be used to send sensitive data to or from mobile end-points.

Reference: Google vulnerability of Client Login account credentials on unprotected wifi - [1]

4. Implement user authentication,authorization and session management correctly

Risks: Unauthorized individuals may obtain access to sensitive data or systems by circumventing authentication systems (logins) or by reusing valid tokens or cookies. (13)

  • 4.1 Require appropriate strength user authentication to the application. It may be useful to provide feedback on the strength of the password when it is being entered for the first time. The strength of the authentication mechanism used depends on the sensitivity of the data being processed by the application and its access to valuable resources (e.g. costing money).
  • 4.2 It is important to ensure that the session management is handled correctly after the initial authentication, using appropriate secure protocols. For example, require authentication credentials or tokens to be passed with any subsequent request (especially those granting privileged access or modification).
  • 4.3 Use unpredictable session identifiers with high entropy. Note that random number generators generally produce random but predictable output for a given seed (i.e. the same sequence of random numbers is produced for each seed). Therefore it is important to provide an unpredictable seed for the random number generator. The standard method of using the date and time is not secure. It can be improved, for example using a combination of the date and time, the phone temperature sensor and the current x,y and z magnetic fields. In using and combining these values, well-tested algorithms which maximise entropy should be chosen (e.g. repeated application of SHA1 may be used to combine random variables while maintaining maximum entropy – assuming a constant maximum seed length).
  • 4.4 Use context to add security to authentication - e.g. IP location, etc...
  • 4.5 Where possible, consider using additional authentication factors for applications giving access to sensitive data or interfaces where possible - e.g. voice, fingerprint (if available), who-you-know, behavioural etc.
  • 4.6 Use authentication that ties back to the end user identity (rather than the device identity).

5. Keep the backend APIs (services) and the platform (server) secure

Risks: Attacks on backend systems and loss of data via cloud storage. The majority of mobile applications interact with the backend APIs using REST/Web Services or proprietary protocols. Insecure implementation of backend APIs or services, and not keeping the back-end platform hardened/patched will allow attackers to compromise data on the mobile device when transferred to the backend, or to attack the backend through the mobile application. (14)

  • 5.1 Carry out a specific check of your code for sensitive data unintentionally transferred, any data transferred between the mobile device and web-server back- ends and other external interfaces - (e.g. is location or other information included within file metadata).
  • 5.2 All backend services (Web Services/REST) for mobile apps should be tested for vulnerabilities periodically, e.g. using static code analyser tools and fuzzing tools for testing and finding security flaws.
  • 5.3 Ensure that the backend platform (server) is running with a hardened configuration with the latest security patches applied to the OS, Web Server and other application components.
  • 5.4 Ensure adequate logs are retained on the backend in order to detect and respond to incidents and perform forensics (within the limits of data protection law).
  • 5.5 Employ rate limiting and throttling on a per-user/IP basis (if user identification is available) to reduce the risk from DDoS attack.
  • 5.6 Test for DoS vulnerabilities where the server may become overwhelmed by certain resource intensive application calls.
  • 5.7 Web Services, REST and APIs can have similar vulnerabilities to web applications:
    • Perform abuse case testing, in addition to use case testing
    • Perform testing of the backend Web Service, REST or API to determine vulnerabilities.

6. Secure data integration with third party services and applications

Risks: Data leakage. Users may install applications that may be malicious and can transmit personal data (or other sensitive stored data) for malicious purposes.

  • 6.1 Vet the security/authenticity of any third party code/libraries used in your mobile application (e.g. making sure they come from a reliable source, with maintenance supported, no backend Trojans)
  • 6.2 Track all third party frameworks/APIs used in the mobile application for security patches. A corresponding security update must be done for the mobile applications using these third party APIs/frameworks.
  • 6.3 Pay particular attention to validating all data received from and sent to non-trusted third party apps (e.g. ad network software) before processing within the application.

7. Pay specific attention to the collection and storage of consent for the collection and use of the user’s data

Risks: Unintentional disclosure of personal or private information, illegal data processing. In the European Union, it is mandatory to obtain user consent for the collection of personally identifiable information (PII). (15) (16)

  • 7.1 Create a privacy policy covering the usage of personal data and make it available to the user especially when making consent choices.
  • 7.2 Consent may be collected in three main ways:
    • At install time
    • At run-time when data is sent
    • Via “opt-out” mechanisms where a default setting is implemented and the user has to turn it off.
  • 7.3 Check whether your application is collecting PII - it may not always be obvious - for example do you use persistent unique identifiers linked to central data stores containing personal information?
  • 7.4 Audit communication mechanisms to check for unintended leaks (e.g. image metadata).
  • 7.5 Keep a record of consent to the transfer of PII. This record should be available to the user (consider also the value of keeping server-side records attached to any user data stored). Such records themselves should minimise the amount of personal data they store (e.g. using hashing).
  • 7.6 Check whether your consent collection mechanism overlaps or conflicts (e.g. in the data handling practices stated) with any other consent collection within the same stack (e.g. APP-native + webkit HTML) and resolve any conflicts.

8. Implement controls to prevent unauthorized access to paid-for resources (wallet, SMS, phone calls etc.) Risks: Smartphone apps give programmatic (automatic) access to premium rate phone calls, SMS, roaming data, NFC payments, etc. Apps with privileged access to such API’s should take particular care to prevent abuse, considering the financial impact of vulnerabilities that giveattackers access to the user’s financial resources.

  • 8.1 Maintain logs of access to paid-for resources in a non-repudiable format (e.g. a signed receipt sent to a trusted server backend – with user consent) and make them available to the end-user for monitoring. Logs should be protected from unauthorised access.
  • 8.2 Check for anomalous usage patterns in paid-for resource usage and trigger re- authentication. E.g. when significant change in location occurs, user-language changes etc.
  • 8.3 Consider using a white-list model by default for paid-for resource addressing - e.g. address book only unless specifically authorised for phone calls.
  • 8.4 Authenticate all API calls to paid-for resources (e.g. using an app developer certificate).
  • 8.5 Ensure that wallet API callbacks do not pass cleartext account/pricing/ billing/item information.
  • 8.6 Warn user and obtain consent for any cost implications for app behaviour.
  • 8.7 Implement best practices such as fast dormancy (a 3GPP specification), caching, etc. to minimize signalling load on base stations.

9. Ensure secure distribution/provisioning of mobile applications

Risks: Use of secure distribution practices is important in mitigating all risks described in the OWASP Mobile Top 10 Risks and ENISA top 10 risks.

  • 9.1 Applications must be designed and provisioned to allow updates for security patches, taking into account the requirements for approval by app-stores and the extra delay this may imply.
  • 9.2 Most app-stores monitor apps for insecure code and are able to remotely remove apps at short notice in case of an incident. Distributing apps through official app- stores therefore provides a safety-net in case of serious vulnerabilities in your app.
  • 9.3Provide feedback channels for users to report security problems with apps – e.g. a security@ email address.

10. Carefully check any runtime interpretation of code for errors

Risks: Runtime interpretation of code may give an opportunity for untrusted parties to provide unverified input which is interpreted as code. For example, extra levels in a game, scripts, interpreted SMS headers. This gives an opportunity for malware to circumvent walled garden controls provided by app-stores. It can lead to injection attacks leading to Data leakage, surveillance, spyware, and diallerware.

Note that it is not always obvious that your code contains an interpreter. Look for any capabilities accessible via user-input data and use of third party API’s which may interpret user-input - e.g. JavaScript interpreters.

  • 10.1 Minimize runtime interpretation and capabilities offered to runtime interpreters: run interpreters at minimal privilege levels.
  • 10.2 Define comprehensive escape syntax as appropriate.
  • 10.3 Fuzz test interpreters.
  • 10.4 Sandbox interpreters.

Appendix A- Relevant General Coding Best Practices'

Some general coding best practices are particularly relevant to mobile coding. We have listed some of the most important tips here:

    • Perform abuse case testing, in addition to use case testing.
    • Validate all input.
    • Minimise lines and complexity of code. A useful metric is cyclomatic complexity (17).
    • Use safe languages (e.g. from buffer-overflow).
    • Implement a security report handling point (address) security@example.com
    • Use static and binary code analysers and fuzz-testers to find security flaws.
    • Use safe string functions, avoid buffer and integer overflow.
    • Run apps with the minimum privilege required for the application on the operating

system. Be aware of privileges granted by default by APIs and disable them.

    • Don't authorize code/app to execute with root/system administrator privilege
    • Always perform testing as a standard as well as a privileged user
    • Avoid opening application-specific server sockets (listener ports) on the client device.

Use the communication mechanisms provided by the OS.

    • Remove all test code before releasing the application
    • Ensure logging is done appropriately but do not record excessive logs, especially those

including sensitive user information.


Appendix B- Enterprise Guidelines

    • If a business-sensitive application needs to be provisioned on a device, applications should enforce of a higher security posture on the device (such as PIN, remote management/wipe, app monitoring)
    • Device certificates can be used for stronger device authentication.'

References"

Smartphones secure development guidelines for app developers

*12. NIST Computer Security. [Online] http://csrc.nist.gov/publications/nistpubs/800-57/sp800- 57_PART3_key-management_Dec2009.pdf.

Mobile Platforms

Mobile Platforms

Coming soon...

Android

iOS

RIM

Windows Phone 7


To contribute to this section, contact mike.zusman@owasp.org

Mobile Threat Model/Project About

PROJECT INFO
What does this OWASP project offer you?
RELEASE(S) INFO
What releases are available for this project?
what is this project?
Name: OWASP Mobile Security Project - Mobile Threat Model (home page)
Purpose: N/A
License: N/A
who is working on this project?
Project Leader(s):
how can you learn more?
Project Pamphlet: Not Yet Created
Project Presentation:
Mailing list: Mailing List Archives
Project Roadmap: View
Key Contacts
  • Contact Tom Eston @ to review or sponsor this project
  • Contact the GPC to report a problem or concern about this project or to update information.
current release
==Mobile Application Threat Model - Beta Release==

This is the first release (February 2013) of the Mobile Application Threat Model developed by the initial project team (listed at the end of this release). Development began mid-2011 and is being released in beta form for public comment and input. It is by no means complete and some sections will need more contributions, details and also real world case studies. It's the hope of the project team that others in the community can help contribute to this project to further enhance and improve this threat model.

Mobile Threat Model Introduction Statement

Threat modeling is a systematic process that begins with a clear understanding of the system. It is necessary to define the following areas to understand possible threats to the application:

  • Mobile Application Architecture - This area describes how the application is designed from device specific features used by the application, wireless transmission protocols, data transmission mediums, interaction with hardware components and other applications.
  • Mobile Data - What data does the application store and process? What is the business purpose of this data and what are the data workflows?
  • Threat Agent Identification - What are the threats to the mobile application and who are the threat agents. This area also outlines the process for defining what threats apply to the mobile application.
  • Methods of Attack - What are the most common attacks utilized by threat agents. This area defines these attacks so that controls can be developed to mitigate attacks.
  • Controls - What are the controls to prevent attacks. This is the last area to be defined only after previous areas have been completed by the development team.

Target Audience for the Mobile Threat Model

This model is to be used by mobile application developers and software architects as part of the “threat modeling” phase of a typical SDLC process. The model can also be used by Information Security Professionals that need to determine what typical mobile application threats are and provide a methodology for conducting basic threat modeling.

How to Use the Mobile Threat Model

This threat model is designed as an outline or checklist of items that need to be documented, reviewed and discussed when developing a mobile application. Every organization that develops mobile applications will have different requirements as well as threats. This model was designed to be as organizational and industry agnostic as possible so that any mobile application development team can use this as a guide for conducting threat modeling for their specific application. Real world case studies as examples will be integrated to this threat model in the near future.

Mobile Application Architecture

The mobile application architecture should, at the very least, describe device specific features used by the application, wireless transmission protocols, data transmission medium, interaction with hardware components and other applications. Applications can be mapped to this architecture as a preliminary attack surface assessment.

Architecture Considerations

Although mobile applications vary in function, they can be described using a generalized model as follows:

Wireless interfaces

Transmission Type

Hardware Interaction

Interaction with on device applications/services

Interaction with off device applications/services

Encryption Protocols


  • What is the design of the architecture (network infrastructure, web services, trust boundaries, third-party APIs, etc)
    • Carrier
      • Data
      • SMS
      • Voice
    • Endpoints
      • Web Services
        • RESTful or SOAP based
        • Third Party (Example: Amazon)
      • Websites
        • Does the app utilize or integrate the “mobile web” version of an existing web site?
      • App Stores
        • Google Play
        • Apple App Store
        • Windows Mobile
        • BlackBerry App Store
      • Cloud Storage
        • Amazon/Azure
      • Corporate Networks (via VPN, ssh, etc.)
    • Wireless interfaces
      • 802.11
      • NFC
      • Bluetooth
      • RFID
    • Device
      • App Layer
      • Runtime Environment (VM, framework dependencies, etc)
      • OS Platform
    • Apple iOS
    • Android
    • Windows Mobile
    • BlackBerry
      • Baseband
  • Common hardware components
    • GPS
    • Sensors (accelerometer)
    • Cellular Radios (GSM/CDMA/LTE)
    • Flash Memory
    • Removable Storage (i.e.- SD)
    • USB ports
    • Wireless Interfaces
      • 802.11
      • Bluetooth
      • NFC
      • RFID
    • Touch Screen
    • Hardware Keyboard
    • Microphone
    • Camera
  • Authentication
    • Method
      • Knowledge based
      • Token based
      • Biometrics
    • Input Type
      • Keyboard
      • Touch screen
      • Hardware peripheral
    • Decision Process
      • Local (on device)
      • Remote (off device)
  • Define app architecture relative to OS stack + security model
    • What should or shouldn't the app do?


Mobile Data

This section defines what purpose does the app serve from a business perspective and what data the app store, transmit and receive. It’s also important to review data flow diagrams to determine exactly how data is handled and managed by the application.

  • What is the business function of the app?
  • What data does the application store/process (provide data flow diagram)
    • This diagram should outline network, device file system and application data flows
    • How is data transmitted between third party API’s and app(s)
    • Are there different data handling requirements between different mobile platforms? (iOS/Android/Blackberry/Windows/J2ME)
    • Does the app use cloud storage APIs (Dropbox, Google Drive, iCloud, Lookout) for device data backups
    • Does personal data intermingle with corporate data?
    • Is there specific business logic built into the app to process data?
  • What does the data give you (or an attacker) access to
    • Data at Rest
    • Example: Do stored credentials provide authentication?
    • Data in Transit
    • Example: Do stored keys allow you to break crypto functions (data integrity)?
  • Third party data, is it being stored/transmitted?
    • What is the privacy requirements of user data
    • Example: UDID or Geolocation on iOS transmitted to 3rd party
    • Are there regulatory requirements to meet specific to user privacy?
  • How does other data on the device affect the app (sandboxing restrictions enforced?)
    • Example: Authentication credentials shared between apps
  • What is the impact of Jailbroken/Rooted vs Non Jailbroken/Rooted device and how this affects app data (can also relate to threat agent identification)


Threat Agent Identification

What are the threats to the mobile application and who are the threat agents. This area also outlines the process for defining what threats apply to the mobile application.

Identifying Threat Agents

The process of identifying a threat agent is very simple and have been mentioned in the below steps:

S1: Take the list of all sensitive data (or information to protect) listed down from Section 2 – Mobile Data

S2: Make a list of all the ways to access this data

S3: The medium used to access the same listed in S3 is the Threat Agent to be identified


Threat Agent Identification Example

Let us understand it in a better way using an example of a Financial Application (specifically a Banking Application). Following the process as mentioned above:

S1: Sensitive data present in the application has been listed as: Beneficiary Details stored in some form in the Phone Application Memory and User Credentials used for authentication transmitted to the server. S2: List the various ways of accessing information:

  1. Beneficiary Details:
    1. A device user aiming to browse through the memory card / phone memory
    2. An adversary using a jail broken phone; starts reading the content through putty/WinSCP via SSH
    3. An adversary while sniffing the WiFi, traffic sniffs the content travelling through the network
    4. Another malicious application while reading the phone memory contents, stumbles upon this data as the device is Jailbroken
    5. Another application which is sending data through SMS sends this data.
    6. A Web Application executing a script on the browser tries to get steal the phone memory and send it to its server.


S3: From the above points, we list down the medium used:

  1. Any user who has the device (Stolen device/ friend / etc)
    1. Any malicious application (installed / Web based script)
    2. An adversary sniffing the Wifi.
    3. etc.


From the above example you should have a clear picture on how to identify Threat Agents. Below is list of threat agents, which were identified while analyzing various commonly used applications.


Listing of Threat Agents - By Category

Human Interaction

  • Stolen Device User: A user who obtained unauthorized access to the device aiming to get hold of the memory related sensitive information belonging to the owner of the device.
  • Owner of the Device: A user who unwillingly has installed a malicious application on his phone which gains access to the device application memory.
  • Common WiFi Network User­: This agent is aimed at any adversary intentionally or unintentionally sniffing the WiFi network used by a victim. This agent stumbles upon all the data transmitted by the victim device and may re-use it to launch further attacks.
  • Malicious Developer: A human user who has the intent of writing an application which not only provides a commonly known function like gaming / calculator / utility in the foreground but steal as much information from your device as possible in real-time and transmits it to the malicious user. This agent can also be looked at an angle from which he codes an app to perform DOS by using up all the device resources.
  • Organization Internal Employees: Any user who is part of the organization (may be a programmer / admin / user / etc). Anyone who has privileges to perform an action on the application.
  • App Store Approvers/Reviewers: Any app store which fails to review potentially dangerous code or malicious application which executes on a user’s device and performs suspicious/ malicious activities



Automated Programs

  • Malware on the device: Any program / mobile application which performs suspicious activity. It can be an application, which is copying real time data from the user’s device and transmitting it to any server. This type of program executes parallel to all the processes running in the background and stays alive performing malicious activity all the time. E.g. Olympics App which stole text messages and browsing history:[2]http://venturebeat.com/2012/08/06/olympics-android-app/
  • Scripts executing at the browser with HTML5: Any script code written in a language similar to JavaScript having capability of accessing the device level content falls under this type of agent section. A script executing at the browser reading and transmitting browser memory data / complete device level data.
  • Malicious SMS: An incoming SMS redirected to trigger any kind of suspicious activity on the mobile device. There are multiple services which keep running in the background. Each of these services have listeners which might be active to listen for the content of an incoming SMS. An SMS message may be a sort of trigger for the service to perform some suspicious activity.
  • Malicious App: Failure to detect malicious or vulnerable code and the likelihood of a compromise or attack against the app store itself, potentially turning legitimate code into hostile things including updates and new downloaded apps.


Below is a diagram illustrated to understand the Threat Agents and Threats in a visual manner:


Mobile-app-threat-agents.png


Figure 1 : Pictorial Representation of Threats and Agents


Methods of Attack

In this section, we will observe different methods an attacker can use to reach the data. This data can be sensitive information to the device or something sensitive to the app itself.


Attack’s Flowchart

Destruction of the asset is normally classified as attack. Attack can be further categorized as a planned attack or an unplanned one. Unintended attacks are normally caused due to some form of accidental actions.


Mobile-app-attack-workflow.png

Figure 2: Attack Workflow


Attack Scenario

“Method aimed to read the local application memory”


The above mentioned attack methodology is the one in which the data which is targeted is application specific memory and the method used is memory based analysis. The attacker steals any sensitive data like passwords, userid, user account information which is stored in the application memory by reading the device memory.


We have listed down other methods below which can be mapped with the second section in a similar fashion:


The classification of attacks based on the way data is handled:


  • Carrier Based Methods


  1. Man in the middle (MiTM) attacks which can steal data packets including SMS or voice packets
  2. Hijack wireless transmission.


  • Endpoints based methods


  1. Inject code to tamper with web application or web services
  2. Many of the OWASP Mobile Top 10/OWASP Web Application Top 10
  3. Publishing Malwares in the app store
  4. Stealing user sensitive phone contents using Malwares
  5. Cloud storage
  6. Targeting malicious corporate network. (e.g. VPN Keys, etc)


  • Wireless interfaces based methods


  1. Stealing data when its in-transit using wireless channel like 802.11, NFC based data exchange or Bluetooth based data exchange. Application Level Attacks


  • OS and application level methods


  1. Exploit the Input validation on client-side by by-passing the checks
  2. An adversary steals sensitive data by reading SD Card based stored content
  3. Exploiting vulnerabilities within an app or runtime environment. (VM, framework dependencies, etc)
  4. An adversary exploits OS level functionalities steal data from device or server
  5. Rooting or Jailbreaking the phone to access sensitive data from memory


  • Miscellaneous Methods


  1. Method used to exploit and steal GPS based signals which falls in users personal information
  2. Method used to exploit the flash memory
  3. Method used to perform “tap jacking” based attacks.
  4. Method used to steal keyboard cache or logs.
  5. Method used to steal microphone recordings of a user
  6. Method used to exploit and misuse the camera functionality.


Controls

What are the controls to prevent attacks. This is the last area to be defined only after previous areas have been completed by the development team.


  • What are the controls to prevent an attack?
    • Defined by platform
      • Apple iOS
      • Android
      • Windows Mobile
      • BlackBerry
  • What are the controls to detect an attack?
    • Defined by platform
      • Apple iOS
      • Android
      • Windows Mobile
      • BlackBerry
  • What are the controls to mitigate/minimize impact of an attack?
    • Defined by platform
      • Apple iOS
      • Android
      • Windows Mobile
      • BlackBerry
  • What are the controls to protect users private information (privacy controls)
    • Example: prompts for access to address book/geolocation
  • Create a mapping of controls to each specific method of attack (defined in Section 4 – Methods of Attack)
    • Create level of assurance framework based on controls implemented. This would be subjective to a certain point, but it would be useful in guiding organizations who want to achieve a certain level of risk management based on the threats and vulnerabilities
  • Case studies, control examples


Project Contributors

Special thanks to the following team members who contributed to the initial release of the threat model:


Tom Eston (Project Lead)

Jack Mannino

Sreenarayan Ashokkumar

Swapnil Deshmukh

Brandon Knight

Steve Jensen

Shimon Modi

Rodrigo Marcos

Brandon Clark

Yvesmarie Quemener

Yashraj Paralikar

Ritesh Taank

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GoatDroid Project/Project About

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GoatDroid

The OWASP GoatDroid Project is a fully functional and self-contained environment for learning about Android security.

Introduction

GoatDroid requires minimal dependencies, and is ideal for both Android beginners as well as more advanced users. The project currently includes two applications: FourGoats, a location based social network, and Herd Financial, a mobile banking application.

Description

OWASP GoatDroid is a fully functional and self-contained training environment for educating developers and testers on Android security. GoatDroid requires minimal dependencies and is ideal for both Android beginners as well as more advanced users. The project currently includes two applications: FourGoats, a location-based social network, and Herd Financial, a mobile banking application. There are also several feature that greatly simplify usage within a training environment or for absolute beginners who want a good introduction to working with the Android platform.

As the Android SDK introduces new features, the GoatDroid contributors will strive to implement up-to-date lessons that can educate developers and security testers on new security issues. The project currently provides coverage for most of the OWASP Top 10 Mobile Risks and also includes a bunch of other problems as well.

Contributions will always be needed in order to keep this project moving at a pace that can support the seemingly endless new problems to tackle. If you are interested, please contact the project's leaders or send an email to the OWASP Mobile Security Project mailing list. We welcome code contributors, beta testers, new feature suggestions, and feedback always!

Licensing

GoatDroid is published by OWASP under the GPLv3 license. You should read and accept the LICENSE before you use, modify, and/or redistribute this software.

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