Our Product

MobSecAI Secure Every Mobile App Before Attackers Do

AI-powered security testing for Android and iOS. Upload a build or paste a store link, and MobSecAI runs static, dynamic and API testing together then hands you an audit-ready report your engineers can actually act on.

Overview

Mobile apps ship faster than security teams can review them, and the risks that matter rarely show up in a code review: a key hardcoded in a release build, an SDK quietly collecting personal data, a certificate check that can be bypassed in an emulator, an API that returns more than the screen displays. MobSecAI tests the compiled app the way an attacker meets it decompiling the binary, running it instrumented in a sandbox, and probing the APIs behind it. Every finding is mapped to the regulatory framework it touches, so one scan serves both your engineering backlog and your compliance evidence.

Why MobSecAI 

Five layers of defense in one platform

AI-powered security testing for Android and iOS. Detect vulnerabilities, malware, privacy risks, insecure APIs and compliance gaps with automated static and dynamic analysis.

Static Analysis (SAST)

Deep code inspection across APK, IPA, XAPK and AAB builds hardcoded secrets, API keys and tokens, insecure cryptography, debug flags left enabled, and unsafe data storage found without running the app.

Dynamic Analysis (DAST)

Runtime instrumentation in sandboxed emulators: SSL pinning bypasses, file access at runtime, insecure network traffic, and behaviour the code alone never reveals.

Malware & Threat Detection

Threat intelligence for accessibility-service abuse, SMS fraud, clipboard hijacking, keylogging and hidden crypto mining including behaviour inherited from third-party SDKs you didn't write.

Privacy & Permission Analysis

PII collection, hidden tracking SDKs and excessive permission requests, each mapped to the regulation it affects so a privacy finding arrives with its GDPR or HIPAA context already attached.

API Testing

The endpoints behind the app: broken authentication and object-level authorization, over-permissive responses, missing rate limits and unencrypted transport.

How its Works

From an uploaded build to a ranked findings list automatically

Upload an APK, IPA, XAPK or AAB file, or paste a store link. MobSecAI decompiles the binary, maps its structure and dependencies, and starts static analysis immediately no source code access, no agent to install, no build pipeline changes.

Any build format, any stage

Pre-release candidates, production builds or a competitor's public listing.

No source required

Testing runs against the compiled artifact, the same thing an attacker downloads.

Results while you wait

Static findings surface first; dynamic and API results follow as the run completes.

How its Works

From a finding to a fix your team can ship

Every issue arrives with its location in the code, evidence from the run, severity ranked by exploitability rather than raw CVSS, and remediation guidance written for the developer who owns that file. Findings are grouped so one root cause doesn’t appear as forty separate tickets.

Ranked by real risk

Exploitability and data exposure decide priority, so the list reflects what to fix first.

Evidence attached

Traffic captures, decompiled snippets and runtime traces support each finding.

Regression tracking

Compare against the previous scan to confirm fixes landed and catch anything reintroduced.

Frequently Asked Questions

Answers to the questions we hear most about MobSecAI.

What does MobSecAI test for?

MobSecAI tests Android and iOS apps for vulnerabilities, malware, privacy risks, insecure APIs and compliance gaps, using automated static and dynamic analysis.

How do we submit an app for testing?

Two ways: upload the build directly — APK, IPA, XAPK or APKS — or paste a link to the app instead.

What does the static analysis find?

Deep code inspection across APK, IPA, XAPK and APKS builds, surfacing hardcoded secrets, API keys and insecure crypto.

What does the dynamic analysis add?

Runtime instrumentation in sandboxed emulators, which captures SSL and pinning bypasses, file access and network traffic — behaviour that only appears when the app is actually running.

Can it detect malware and privacy issues?

Yes. A threat intelligence engine flags accessibility-service abuse, SMS fraud, clipboard hijacking, keylogging and crypto mining, while API testing catches PII collection, hidden tracking SDKs and excessive permission requests with regulatory mapping.

What reports do we get at the end?

A detailed report as a password-protected PDF, a summary report as an XLSX, a network traffic report, and access to your previous scan — the last three with no password required.

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