How to Detect Deepfake Video Attacks in Android Apps Using AI

Last updated November 17, 2025 by Appdome

This Knowledge Base article describes how to use Appdome’s AI in your CI/CD pipeline to continuously deliver plugins that Detect Deepfake Video Attacks in Android apps.

What is a Deepfake Video Attack?

Deepfake video attacks in Android apps exploit video stream substitution to bypass biometric authentication. Instead of relying on hooks or Camera API exploits, attackers inject prerecorded or synthetic video streams into the authentication pipeline, making it appear that a legitimate user is present. These attacks can be performed through replayed camera feeds, emulator-driven stream injection, or synthetic frame buffers generated by AI tools. The risk is severe, as attackers can unlock financial accounts, bypass PSD2-compliant flows, and steal credentials without needing physical device access. Developers face difficulty because injected video can closely mimic real user movement and timing, with AI-driven facial synthesis generating convincing gestures. This makes traditional defenses insufficient, as Android’s open environment provides multiple entry points for fake streams. Detecting replayed or injected streams in real time is essential to block fraud and maintain regulatory compliance in mobile banking, fintech, and healthcare apps.

How Appdome Protects Android Apps Against Deepfake Video Attacks

Appdome’s dynamic Deepfake Video Detection plugin for Android analyzes live camera streams for injected or prerecorded video feeds. It detects replay attacks, synthetic stream insertion, and emulator-based camera replacements in real time, ensuring biometric inputs originate from trusted sources. When deepfake activity is detected, the plugin can block authentication, end the session, or enforce step-up verification. Mobile developers can use Appdome’s Threat-Events™ to collect detailed data on deepfake video attack attempts and create tailored in-app responses based on detected threats.

Prerequisites for Using Appdome's Deepfake Video Detection Plugins:

To use Appdome’s mobile app security build system to Detect Deepfake Video Attacks , you’ll need:

How to Implement Detect Deepfake Video Attacks in Android Apps Using Appdome

On Appdome, follow these 3 simple steps to create self-defending Android Apps that Detect Deepfake Video Attacks without an SDK or gateway:

  1. Designate the Mobile App to be protected.

    1. Upload an app via the Appdome Mobile Defense platform GUI or via Appdome’s DEV-API or CI/CD Plugins.

    2. Android Formats: .apk or .aab
    3. Deepfake Video Detection is compatible with: Java, JS, C++, C#, Kotlin, Flutter, React Native, Unity, Xamarin, Cordova and other Android apps.
  2. Select the defense: Deepfake Video Detection.

      1. Create and name the Fusion Set (security template) that will contain the Deepfake Video Detection feature as shown below:
        fusion set that contains Deepfake Video Detection

        Figure 1: Fusion Set that will contain the Deepfake Video Detection feature

      2. Follow the steps in Sections 2.2-2.2.2 of this article to add the Deepfake Video Detection feature to your Fusion Set via the Appdome Console.

      3. When you select the Deepfake Video Detection you'll notice that the Fusion Set you created in step 2.1 now bears the icon of the protection category that contains Deepfake Video Detection.

        Fusion Set applied Deepfake Video Detection

        Figure 2: Fusion Set that displays the newly added Deepfake Video Detection protection
        Note: Annotating the Fusion Set to identify the protection(s) selected is optional only (not mandatory).

      4. Open the Fusion Set Detail Summary by clicking the “...” symbol on the far-right corner of the Fusion Set. Copy the Fusion Set ID from the Fusion Set Detail Summary (as shown below): fusion Set Detail Summary image

        Figure 3: Fusion Set Detail Summary

      5. Follow the instructions below to use the Fusion Set ID inside any standard mobile DevOps or CI/CD toolkit like Bitrise, Jenkins, Travis, Team City, Circle CI or other system:
        1. Refer to the Appdome API Reference Guide for API building instructions.
        2. Look for sample APIs in Appdome’s GitHub Repository.
    1. Add the Deepfake Video Detection feature to your security template.

      1. Navigate to Build > Anti ATO tab > Deepfake Detection section in the Appdome Console.
      2. Toggle On > Deepfake Video Detection.

        (a) Choose to monitor this attack vector by checking the Threat Events checkbox associated with Deepfake Video Detection as shown below.

        (b) To receive mobile Threat Monitoring, check the ThreatScope™ box as shown below. For more details, see our knowledge base article on ThreatScope™ Mobile XTM.
        Deepfake Video Detection option

        Figure 4: Selecting Detect Deepfake Video Attacks

        Note: The Appdome Platform displays the Mobile Operation Systems supported by each defense in real-time. For more details, see our OS Support Policy KB.

      3. Select the Threat-Event™ in-app mobile Threat Defense and Intelligence policy for Deepfake Video Detection:
        1. Threat-Events™ OFF > In-App Defense

          If the Threat-Events™ setting is not selected. Appdome will detect and defend user and app by enforcing Deepfake Video Detection.

        2. Threat-Events™ ON > In-App Detection

          When this setting is used, Appdome detects Deepfake Videos and passes Appdome’s Threat-Event™ attack intelligence to the app’s business logic for processing, enforcement, and user notification. For more information on consuming and using Appdome Threat-Events™ in the app, see section Using Threat-Events™ for Detect Deepfake Video Detection Intelligence and Control in Mobile Apps.

        3. Threat-Events™ ON > In-App Defense

          When this setting is used, Appdome detects and defends against Deepfake Video Attacks (same as Appdome Enforce) and passes Appdome’s Threat-Event™ attack intelligence to the app’s business logic for processing. For more information on consuming and using Appdome Threat-Events™ in the app, see section Using Threat-Events™ for Detect Deepfake Video Detection Intelligence and Control in Mobile Apps.

      4. Configure the User Experience Options for Deepfake Video Detection:
        With Threat-Events™ OFF, Appdome provides several user experience options for mobile brands and developers.
        1. App Compromise Notification: Customize the pop-up or toast Appdome uses to notify the user when a threat is present while using the protected mobile app.
        2. Short message Option. This is available for mobile devices that allow a banner notification for security events.
        3. Localized Message Option. Allows Appdome users to support global languages in security notifications.

          Localized Message

          Figure 5: Default User Experience Options for Appdome’s Deepfake Video Attacks

        4. Deepfake Video Detection Threat Code™. Appdome uses AI to generate a unique code each time Deepfake Video Detection is triggered by an active threat on the mobile device. Use the code in Appdome Threat Resolution Center™ to help end users identify, find and resolve active threats on the personal mobile devices.
    2. Initiate the build command either by clicking Build My App at the bottom of the Build Workflow (shown in Figure 4) or via your CI/CD as described in Section 2.1.4.
    Congratulations!  The Deepfake Video Detection protection is now added to the mobile app
  3. Certify the Deepfake Video Detection feature in Android Apps

    After building Deepfake Video Detection, Appdome generates a Certified Secure™ certificate to guarantee that the Deepfake Video Detection protection has been added and is protecting the app. To verify that the Deepfake Video Detection protection has been added to the mobile app, locate the protection in the Certified Secure™ certificate as shown below: Deepfake Video Detection shown in Certificate secure

    Figure 6: Certified Secure™ certificate

    Each Certified Secure™ certificate provides DevOps and DevSecOps organizations the entire workflow summary, audit trail of each build, and proof of protection that Deepfake Video Detection has been added to each Android app. Certified Secure provides instant and in-line DevSecOps compliance certification that Deepfake Video Detection and other mobile app security features are in each build of the mobile app.

Using Threat-Events™ for Deepfake Video Attacks Intelligence and Control in Android Apps

Appdome Threat-Events™ provides consumable in-app mobile app attack intelligence and defense control when Deepfake Video Attacks is detected. To consume and use Threat-Events™ for Deepfake Video Attacks in Android Apps, use registerReceiver in the Application OnCreate, and the code samples for Threat-Events™ for Deepfake Video Attacks shown below.

The specifications and options for Threat-Events™ for Deepfake Video Attacks are:

Threat-Event™ Elements Detect Deepfake Video Attacks Method Detail
Appdome Feature Name Deepfake Video Detection
Threat-Event Mode
OFF, IN-APP DEFENSE Appdome detects, defends and notifies user (standard OS dialog) using customizable messaging.
ON, IN-APP DETECTION Appdome detects the attack or threat and passes the event in a standard format to the app for processing (app chooses how and when to enforce).
ON, IN-APP DEFENSE Uses Appdome Enforce mode for any attack or threat and passes the event in a standard format to the app for processing (gather intel on attacks and threats without losing any protection).
Certified Secure™ Threat Event Check
Visible in ThreatScope™
Developer Parameters for Detecting Deepfake Video Attacks Threat-Event™
Threat-Event NAME DeepfakeVideoDetection
Threat-Event DATA reasonData
Threat-Event CODE reasonCode
Threat-Event REF 7226
Threat-Event SCORE
currentThreatEventScore Current Threat-Event score
threatEventsScore Total Threat-events score
Threat-Event Context Keys
Timestamp The exact time the threat event was triggered, recorded in milliseconds since epoch
message Message displayed for the user on event
externalID The external ID of the event which can be listened via Threat Events
osVersion OS version of the current device
deviceModel Current device model
deviceManufacturer The manufacturer of the current device
fusedAppToken The task ID of the Appdome fusion of the currently running app
kernelInfo Info about the kernel: system name, node name, release, version and machine.
carrierPlmn PLMN of the device. Only available for Android devices.
deviceID Current device ID
reasonCode Reason code of the occurred event
deviceBrand Brand of the device
deviceBoard Board of the device
buildUser Build user
buildHost Build host
sdkVersion Sdk version
threatCode The last six characters of the threat code specify the OS, allowing the Threat Resolution Center to address the attack on the affected device.

With Threat-Events™ enabled (turned ON), Android developers can get detailed attack intelligence and granular defense control in Android applications and create amazing user experiences for all mobile end users when Deepfake Video Attacks is detected.


The following is a code sample for native Android apps, which uses all values in the specification above for Deepfake Video Detection:


Important! Replace all placeholder instances of <Context Key> with the specific name of your threat event context key across all language examples. This is crucial to ensure your code functions correctly with the intended event data. For example, The <Context Key> could be the message, externalID, OS Version, reason code, etc.



Using Appdome, there are no development or coding prerequisites to build secured Android Apps by using Deepfake Video Detection. There is no SDK and no library to code or implement in the app and no gateway to deploy in your network. All protections are built into each app and the resulting app is self-defending and self-protecting.

Releasing and Publishing Mobile Apps with Deepfake Video Detection

After successfully securing your app by using Appdome, there are several available options to complete your project, depending on your app lifecycle or workflow. These include:

Related Articles:

 

 

 

How Do I Learn More?

If you have any questions, please send them our way at support.appdome.com or via the chat window on the Appdome platform.

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