How to Detect DeepFaceLab in Android and iOS 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 DeepFaceLab in Mobile apps.

What is DeepFaceLab?

DeepFaceLab is a popular open-source deepfake engine used to create synthetic identities by swapping facial features in videos or images. In mobile apps, attackers can use DeepFaceLab to inject manipulated face data into facial recognition workflows, tricking identity verification systems. This poses a major risk to secure login, biometric KYC, and digital onboarding processes. Since the synthetic identities produced by DeepFaceLab often mimic the real-time appearance of legitimate users, detection becomes challenging. Advanced models introduce minimal visual artifacts, bypassing naive detection techniques. Detecting these threats is critical for preventing biometric fraud and complying with regulations like eIDAS, FFIEC, and AML directives.

How Appdome Protects Android and iOS Apps Against DeepFaceLab

Appdome’s dynamic Detect DeepFaceLab plugin for Android and iOS detects synthetic identity injection attempts during facial recognition. It inspects frame data, intercepts buffer manipulation, and flags abnormal content in real time.

Prerequisites for Using Appdome's Detect DeepFaceLab Plugins:

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

How to Implement Detect DeepFaceLab in Mobile Apps Using Appdome

On Appdome, follow these simple steps to create self-defending Mobile Apps that Detect DeepFaceLab 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. Mobile App Formats: .ipa for iOS, or .apk or .aab for Android
    3. Detect DeepFaceLab is compatible with: Obj-C, Java, JS, C#, C++, Swift, Kotlin, Flutter, React Native, Unity, Xamarin, and more.
  2. Select the defense: Detect DeepFaceLab.

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

        Figure 1: Fusion Set that will contain the Detect DeepFaceLab feature

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

      3. When you enable Detect Deepfake Apps you'll notice that the Fusion Set you created in step 2.1 now bears the icon of the protection category that contains Detect DeepFaceLab.

        Fusion Set applied Detect DeepFaceLab

        Figure 2: Fusion Set that displays the newly added Detect DeepFaceLab 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 Detect DeepFaceLab feature to your security template.

      1. Navigate to Build > Anti ATO tab > Deepfake Detection section in the Appdome Console.
      2. Toggle On Detect Deepfake Apps > Detect DeepFaceLab.
        Note: The checkmark feature Detect DeepFaceLab is enabled by default, as shown below. Detect DeepFaceLab option

        Figure 4: Selecting Detect DeepFaceLab

    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 Detect DeepFaceLab protection is now added to the mobile app
  3. Certify the Detect DeepFaceLab feature in Mobile Apps

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

    Figure 5: 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 Detect DeepFaceLab has been added to each Mobile app. Certified Secure provides instant and in-line DevSecOps compliance certification that Detect DeepFaceLab and other mobile app security features are in each build of the mobile app.

Using Threat-Events™ for DeepFaceLab Intelligence and Control in Mobile Apps

Appdome Threat-Events™ provides consumable in-app mobile app attack intelligence and defense control when DeepFaceLab is detected. To consume and use Threat-Events™ for DeepFaceLab in Mobile Apps, use AddObserverForName in Notification Center, and the code samples for Threat-Events™ for DeepFaceLab shown below.

The specifications and options for Threat-Events™ for DeepFaceLab are:

Threat-Event™ Elements Detect DeepFaceLab Method Detail
Appdome Feature Name Detect DeepFaceLab
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 x
Visible in ThreatScope™ x
Developer Parameters for Detecting DeepFaceLab Threat-Event™
Threat-Event NAME
Threat-Event DATA reasonData
Threat-Event CODE reasonCode
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), Mobile developers can get detailed attack intelligence and granular defense control in Mobile applications and create amazing user experiences for all mobile end users when DeepFaceLab is detected.


The following is a code sample for native Mobile apps, which uses all values in the specification above for Detect DeepFaceLab:


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 Mobile Apps by using Detect DeepFaceLab. 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 Detect DeepFaceLab

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.

Thank you!

Thanks for visiting Appdome! Our mission is to secure every app on the planet by making mobile app security easy. We hope we’re living up to the mission with your project.

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