Mobile Shielding Scan: Know What’s Present. Prove What Holds.

Detect protections in Android and iOS applications, test them at runtime, including in rooted and jailbroken environments, and get evidence showing what resisted attack and what was bypassed.

  • Validate runtime protections, including root and jailbreak detection.
  • Use adaptive AI agents to actively attempt bypasses.
  • Get a hardening score and evidence for every protection tested.

Present Does Not Mean Effective

Most reports confirm that a protection exists. That does not show whether it works when an attacker tries to bypass it. Mobile Shielding Scan tests how each defense behaves under attack—whether it reacts, blocks the attempt, or allows the application to continue running.

Automated Shielding Detection

Scans your application's binary to verify if defensive runtime mechanisms are actually present as intended.

Automated Exploitation Analysis

Replaces theoretical checklists with active, runtime attack simulations to attempt bypasses on your defenses.

Runtime Evaluation

Runs the compiled app in rooted and jailbroken Android and iOS environments to observe how it actually behaves when its protections are triggered.

Continuous Release Validation

Integrates with CI/CD pipelines to test protections across new builds and identify regressions during the release workflow.

Commercial Shielding Audit

Independently validates if third-party commercial shielding vendors are delivering the concrete protection you paid for.

Hardening Score

Get an overall hardening score with pass/fail ratings for obfuscation, anti-tampering and anti-debugging, so you can track protection coverage release after release.

How the AI-Powered Detection & Bypass Engine Works

Proving that a protection is bypass-resistant is hard. We do it through three automated runtime phases.

1

1. Environment Deployment

Provisions a clean, controlled runtime environment, including rooted or jailbroken setups. The app is installed, launched and monitored to establish a baseline of its normal behavior.

2

2. Adaptive Exploitation Loops

The AI analyst navigates the application to reach protected workflows, observes how each defense reacts, and adapts its bypass attempt based on the interface, logs, crashes, blocked requests, and other runtime evidence.

3

3. Concrete Verification

Findings are validated before reporting to reduce false positives. Failed protections include reproducible bypass evidence; teams can challenge a finding, provide guidance, or ask the agents to rerun the attack against that protection.

Shielding Detection Matrix: Protections Covered vs. AI Bypasses

Our system detects shielding layers across Android and iOS platforms before deploying an adaptive AI analyst to actively simulate bypasses.

Shielding Type Detected
Technical Coverage Metric
AI Bypass Method Execution
Anti-tampering / Integrity
Detects code modification, repackaging, or re-signing.
Modifies binary structure; monitors if the app blocks execution or terminates silently.
Root & Jailbreak Detection
Identifies compromised environments that expose local app data.
Simulates privileged environments; tests if the app refuses to run on compromised OS layers.
Anti-instrumentation / Debugging
Resists live hooks designed to extract secrets or alter execution.
Injects live debuggers and hooks; AI adapts runtime logic to subvert active detection routines.
Code & Data Obfuscation
Assesses visibility of application logic and embedded secrets.
Parses compiled binaries; determines if operational code is exposed or properly hidden.
Network Protection (SSL Pinning)
Refuses intercepted or fraudulent network connections.
Orchestrates man-in-the-middle attacks; checks if the app rejects invalid certificate chains.
Runtime Response
Determines what the application does after a protection is triggered.
Verifies whether the application blocks the workflow, refuses to start, terminates execution, or merely records the event and continues running.
Anti-tampering / Integrity
Technical Coverage Metric

Detects code modification, repackaging, or re-signing.

AI Bypass Method Execution
Modifies binary structure; monitors if the app blocks execution or terminates silently.
Root & Jailbreak Detection
Technical Coverage Metric

Identifies compromised environments that expose local app data.

AI Bypass Method Execution
Simulates privileged environments; tests if the app refuses to run on compromised OS layers.
Anti-instrumentation / Debugging
Technical Coverage Metric

Resists live hooks designed to extract secrets or alter execution.

AI Bypass Method Execution
Injects live debuggers and hooks; AI adapts runtime logic to subvert active detection routines.
Code & Data Obfuscation
Technical Coverage Metric

Assesses visibility of application logic and embedded secrets.

AI Bypass Method Execution
Parses compiled binaries; determines if operational code is exposed or properly hidden.
Network Protection (SSL Pinning)
Technical Coverage Metric

Refuses intercepted or fraudulent network connections.

AI Bypass Method Execution
Orchestrates man-in-the-middle attacks; checks if the app rejects invalid certificate chains.
Runtime Response
Technical Coverage Metric

Determines what the application does after a protection is triggered.

AI Bypass Method Execution
Verifies whether the application blocks the workflow, refuses to start, terminates execution, or merely records the event and continues running.

how to get started

Simplify mobile shielding validation for real-world release cycles

Continuous, release-aligned testing that fits your mobile pipeline and keeps shielding protections verified.

1

Upload a build or select a store listing

Start with an APK, AAB or IPA file or a TestFlight build, or select an Android or iOS application directly from its store listing.

.apk.aab.ipa
2

Run AI-powered bypass loops

An adaptive AI analyst attempts runtime bypasses against each protection. Run it on Ostorlab Cyber Models (Core, Advanced or Elite effort) or with your own LLM key (BYOK).

Exploitation simulationCyber Models or BYOK
3

Review strength & proof of bypass

Results distinguish Secure—present, triggered, and held against attack—from Hardening—missing, inactive, or bypassed, with evidence of what failed and needs strengthening. Detection alone is not enough when the application continues operating normally.

Hardening scoreBypass proof
4

Verify continuously in CI/CD

Automate scans inside your release pipelines to prevent regressions on every build.

DevSecOpsAutomation

Governed Depth for Mission-Critical Apps

Ostorlab's Mobile Shielding Scan is designed for teams that need deeper security verification without losing operational speed. Our goal is governed depth: deeper reasoning, bounded execution, and clear proof.

Layered Defense Validation

Finding the weak links in layered mobile defenses before malicious actors do.

Financial & Banking Hardening

Validating financial services, digital banking, and payment applications against reverse engineering.

Healthcare Privacy Safeguards

Protecting healthcare applications carrying sensitive patient data from executing on compromised devices.

Intellectual Property Protection

Hardening gaming and media applications against intellectual property theft, tampering, and cloning.

Enterprise Deployment Compliance

Ensuring compliance with highly regulated mobile enterprise deployment mandates.

Seamless Integration With Your DevOps Pipeline

Deploy Mobile Shielding validation continuously. Connect with your CI/CD tools to test shielding protections with every build.

  • JiraJira
  • LinearLinear
  • JenkinsJenkins
  • GitHubGitHub
  • GitLabGitLab
  • BitbucketBitbucket
  • SAMLSAML
  • Azure DevOpsAzure DevOps
  • CircleCICircleCI
  • GoCDGoCD
  • TeamCityTeamCity
  • OktaOkta
  • Google WorkspaceGoogle Workspace
  • OneLoginOneLogin
  • Azure Active DirectoryAzure Active Directory
  • SlackSlack
  • VantaVanta
  • ServiceNowServiceNow
  • BitriseBitrise
  • HarnessHarness

Why Teams Choose Us

Support, Scalability, Transparency

Accompanied at Every Step

Hands-on guidance and support from onboarding to outcome to ensure seamless usage of features evolved through customer feedback.

Free Unlimited Invites

Collaborate without constraints by adding as many profiles as needed per application, enabling teams to work together seamlessly with no user number restrictions and no additional costs.

Continuous Monitoring

Apps previously added to Ostorlab are automatically rescanned whenever updates are pushed. No need to manually trigger scans, ensuring continuous security validation with minimal effort.

No Hidden Fees

Simple, transparent pricing with no hidden costs. Know what you pay for, and back it with a full refund guarantee if unsatisfied.

Before you start

What to expect from a Mobile Shielding Scan

What you get

  • A security hardening score from 0% to 100%.
  • Pass/fail ratings and coverage for obfuscation, anti-tampering and anti-debugging.
  • The list of protections verified, such as string encryption, code protection, jailbreak detection and integrity verification, with bypass evidence where a protection failed.

What you need

  • The app: from the PlayStore or AppStore, an uploaded APK, AAB or IPA, or TestFlight.
  • An AI provider: Cyber Models at Core, Advanced or Elite effort (about 50, 200 or 400 credits), or your own key (BYOK).
  • If the app requires login, test credentials, so protections are also tested after sign-in.

What it covers

  • Android and iOS apps.
  • Obfuscation, measured with signals such as encrypted strings, name shrinkage and known obfuscator signatures.
  • Anti-tampering and anti-debugging: debugger presence, instrumentation tools and signature disruption.
  • Root and jailbreak detection, tested by running the app in rooted and jailbroken environments, and AI-driven bypass attempts.

What it doesn't cover

  • This scan measures how well protections resist reverse engineering, tampering and debugging. It does not replace a vulnerability scan. A Mobile Agentic Deep Scan runs these same checks and also finds exploitable flaws in the app and its APIs.
  • Protections behind the login are tested when you provide test credentials.

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FAQ

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