Automate Mobile App Defense

Social Engineering Prevention
Defense at DevOps Speed

Use one unified platform to build, monitor and respond with social engineering prevention features in Android & iOS apps inside your DevOps CI/CD pipeline. Protect mobile users from voice phishing (Vishing) scams, imposter scams, romance scams, impersonation scams, and T.O.A.D attacks. Deliver comprehensive, in-app, protection against social engineering, Remote Access Control, Gold Pickaxe, FaceID bypass and more. Certify social engineering prevention build-by-build without any burden on the mobile engineering team. Deliver better mobile social engineering prevention with ease. All CI/CD pipelines. No code, No SDKs, No servers required.

One Platform to Stop Social Engineering Attacks
Stop Social Engineering Scams in All Mobile Apps

Automate the Work Out of
Social Engineering Prevention

With Appdome, brands can protect their users from social engineering attacks, including brand impersonation scams and romance scams with less work. Use automation to build, test, release and monitor social engineering prevention features in Android & iOS apps. Gain continuous compliance, with less cost and complexity in mobile apps today.

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Keep Full Control
When Attacks Happen

When a social engineering scam is happening to your Android & iOS users, Appdome's Threat-Events™ intelligence framework delivers rich data and telemetry on the attack to your mobile app. Stay in control of the brand experience, gather attack intelligence, and break the cycle of manipulation used in the social engineering attack easily.

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Gain Resilience with Faster Detection & Response​

With ThreatScope™ Mobile XDR, mobile brands gain lightning fast resilience and prove the value of the social engineering defenses in Android & iOS apps. ThreatScope monitors social engineering attacks and 300+ new and emerging mobile attack vectors. Respond to any attack impacting your mobile app, brand or business automatically.

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Are You a Mobile Developer?

Break the cycle of social engineering attacks with ease.

We built Appdome to make it easy on mobile developers to maintain agility and continuously deliver mobile social engineering prevention features in Android & iOS apps built in any coding language or framework including Obj-C, C+, Java, JS, C#, C++, Swift, Kotlin, Flutter, React Native, Unity, Maui, Xamarin, and more. Plugins and APIs are out-of-the-box ready for all parts of the mobile DevOps ecosystem. Contact us to start making mobile social engineering prevention easy!

Are you a Mobile Developer?

Appdome Platform Advantage
Build, Monitor, Respond in One

Build, monitor and respond with mobile social engineering prevention features stand-alone or in combination any of 300+ mobile app security, anti-fraud, anti-malware, anti-bot, anti-cheat, and geo compliance features in one platform in minutes. Let the Appdome platform dynamically adjust the mobile social engineering prevention features to fit your Android & iOS app, ensuring the highest performance and stability in production. Each social engineering prevention feature uses an active defense model that filters out false positives and delivers the highest fidelity attack detection, data and response every time. Explore our mobile social engineering prevention knowledge base or browse the categories below to stop social engineering today.

Prevent Vishing Scams

Vishing, or "voice phishing," scams and telephone oriented attack delivery, or "T.O.A.D.," scams are each a type of social engineering attack where attackers use phone calls to trick mobile end users into providing sensitive information or performing harmful actions. In these vishing scams, the attacker poses as a trustworthy entity, such as the fraud department of a bank or consumer brand, and uses various psychological tactics to pressure and manipulate the victim. Appdome uses behavioral analysis to detect when the mobile end users’ activity in a mobile app (or its workflows) coincides with a potentially malicious phone call.

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Detect Remote Control Apps

Impersonation scams can involve the attacker posing as technical support and ask the victim to download remote access and control software, like TeamViewer, onto the victim's mobile device. Once installed, the attacker gains complete control over a victim's mobile device and uses the remote access app to steal data, gather credentials to perform Account Takeovers (ATOS) in the victim's mobile accounts. Appdome’s Anti Remote Desktop Control detects and blocks third-party applications attempting remote control of a protected mobile application to keep mobile apps, users, data and credentials safe at all times.

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Detect Gold PickAxe

Some social engineering attacks, such as Gold PickAxe and Gold Digger, trick mobile end users into installing super user, device admin, or mobile device management (MDM) profiles onto their mobile devices. The victim may be told they need to install the package "for their protection" after or during being contacted by an imposter. Once installed, attackers gain control over the device (e.g. control the camera, microphone, keyboard), allowing them to steal images, intercept biometric login, and spy on users before launching a social engineering attack or to make the attack more convincing. Appdome identifies when these intrusive profiles are installed on a mobile device or interact with a protected mobile app.

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Detect Mobile Spyware

Mobile spyware is a potent tool in social engineering attacks. Armed with the data obtained through spyware, attackers can craft highly convincing social engineering attacks tailored to the victim's interests, behaviors, or relationships. For example, they may use knowledge of the victim's recent mobile purchases to create fake order confirmation texts or use details from mobile app usage to impersonate a brand in follow up messages and vishing attacks. Appdome detects spyware as it tries to collect information from a victim's mobile app, including login credentials, in-app history, keystrokes, and more to eliminate any advantage attackers may have using spyware.

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Stop Romance Scams

Romance scams are sophisticated social engineering attacks that typically involve fake profiles, location and interactions to exploit the victim's emotions. Once the victim falls for the attacker, the attacker requests money or personal information to help with medical emergencies, travel expenses, or financial hardships. These attacks are typically launched at scale using automated environments and can be supported or generated using AI chatbots. Appdome detects the automated environments, fake accounts, fake location and fake events in mobile apps to stop the fraudster's romance scamming operations.

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Protect User Data in Mobile Apps

Mobile applications receive, process, transmit and store data throughout the lifecycle of use by mobile consumers and employees alike. An attacker can use all kinds on-device attacks and compromises such as jailbreak, root, hacking tools, or Man-in-the-Middle (MITM) attacks as part of a strategy to gather data on mobile end users before launching, or as part of, a social engineering attack. It's critical to protect PII, PHI, PCI and other sensitive data at rest and in-transit between the mobile application and its back end service or network. Appdome provides a fully-automated platform for mobile app security to keep data-at-rest and data-in-transit secure at all times.

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Detect SIM Swapping

SIM swapping is a type of social engineering attack targeting mobile phone users. In a SIM swapping attack, the attacker convinces the victim's mobile carrier to transfer the phone number to a new SIM card the attacker controls. With control over the victim's phone number, the attacker can reset passwords, receive authentication codes (MFA passcodes, OTP tokens), and perform an Account Takeover (ATO) attack. Appdome detects when an attacker uses the protected mobile app with a replacement SIM card and exits the app or passes the attack data to the mobile app.

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Block Face Recognition Bypass

Facial recognition bypass is a form of Account Takeover (ATO) attack. It occurs when an unauthorized individual finds a way to circumvent the facial recognition used in a mobile app,, gaining access to the device or app without the legitimate user's permission. There are many mechanisms for spoofing images, such as intercepting and modifying the camera preview data from other apps while the preview shown to the user remains unchanged. Appdome detects when an attacker or malware attempts to spoof, fake or bypass biometric (facial) recognition in Android and iOS apps.

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Better Social Engineering Data

If you're looking for better social engineering prevention data, Appdome's ThreatScope™ provides real-time, detailed social engineering attack data from the mobile app, including attack type, geo-source and ThreatScore™ for each event, as well as meta data about the impacted device, such as device make, model, DeviceID, Android & iOS version and more. With ThreatScope, you know exactly what, when, where, and how a social engineering attack was attempted in your app, whether existing defenses worked to stop the attack, and what new defenses should be deployed to further minimize social engineering against your apps.

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Break the Cycle of Manipulation

With Appdome Threat-Events™, developers and brands can stay in full control of the mobile end user experience when mobile social engineering attacks happen. Appdome's Threat-Event in-app intelligence and control framework detects the social engineering attack and passes enriched Threat-Event data to the mobile app for processing and threat response. Build custom threat response, enforcement and user notification workflows that break the cycle of manipulation and abuse targeting mobile end users when mobile social engineering attacks occur.

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Ready to Save $Millions on Social Engineering Scams

Get a price quote and start saving money on mobile social engineering prevention today. Appdome’s mobile social engineering prevention solution helps mobile brands save $millions of dollars by avoiding unnecessary SDKs, server-side deployments, engineering work, support complexity, code changes and more.

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