Mobile App Penetration Testing Services

Mobile App Penetration Testing

Identify exploitable vulnerabilities in your application programming interfaces before attackers do.

Service Breakdown

What is Mobile Penetration Testing?

Mobile penetration testing is a controlled, adversarial security assessment that simulates real-world attacker tactics against iOS and Android applications to identify exploitable vulnerabilities in client-side code and server-side integrations. Within modern security architecture, it serves as a detective and validating control to reveal gaps in preventative mechanisms before they are exploited.

Authorization & Business Logic Validation: Identifying Broken Object Level Authorization (BOLA) flaws and privilege escalation risks that automated scanners miss
Managed Endpoint Hardening: Systematic reduction of the attack surface through OS-level fortification and baseline enforcement.
Data-in-Transit Encryption: Validating TLS 1.3 implementations and certificate pinning to prevent Man-in-the-Middle (MitM) attacks.
Compliance-Driven Growth: Documenting technical security controls required for NIS2, DORA, and GDPR.

Technical Necessity & Threat Landscape

Over 80% of digital traffic now flows through mobile interfaces and APIs. Without deep-dive testing, organizations operate in a state of unknown vulnerability:

Financial Impact: The average cost of a data breach in 2024 reached $4.88 million.
Supply Chain Risks: Compromised CI/CD pipelines can inject malicious code directly into software releases via mobile update channels.
Regulatory Penalties: Non-compliance with GDPR Article 32 or DORA Article 24 can lead to significant regulatory fines for failing to validate “security appropriate to the risk”.

Process and methodology

Testing Mobile Applications

1

Onboarding & Scope

Kickoff to define apps, OS versions, and environments. Client provides builds, documentation, and necessary API details for testing.

2

Access & Authorization

Secure delivery of APK/IPA files or store links, including client approvals and role-based access control for authorized testing.

3

Penetration Testing

Comprehensive dynamic and static analysis using tools like Burp Suite and Frida to identify, develop, and validate security exploits.

4

Reporting & Remediation

Delivery of detailed vulnerability reports including risk scores, exploitation proofs, and actionable guidance for fixing identified security flaws.

Key results:

Mobile Penetration testing provides a clear overview of the number of vulnerabilities by severity (Critical/High/Medium/Low) and Ratio of vulnerabilities remediated vs. open (optional after retesting) to to ensure you have clear understanding of your security posture, and outline the path to security and compliance.

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Testing Types

Dynamic vs. Static Testing

Static Analysis (SAST)

An automated and manual review of the application’s source code or decompiled binary to find security flaws without executing the app.

Dynamic Analysis (DAST)

Testing the application while it is running. This involves intercepting live traffic, manipulating runtime memory, and observing the app’s behavior under attack.

Black Box vs. Gray Box vs. White Box

Black Box (Zero Knowledge)

No source code or internal docs provided. Simulates a real-world attacker performing reverse engineering, traffic interception, and dynamic analysis from scratch.

Gray Box (Partial Knowledge)

Test credentials and basic documentation provided. Focuses on authenticated user flows, role-based access controls, and bypassing business logic inside the app.

White Box (Full Knowledge)

Source code and architecture diagrams shared. Allows for a “deep dive” into the logic, hardcoded secrets, and vulnerabilities hidden within the code itself.

Use cases

Sensitive Data Exposure Prevention

Identify insecure local storage, such as unencrypted databases or logs, to prevent attackers from harvesting PII, credentials, or session tokens from lost or stolen mobile devices.

Client-Side Security Bypass

Validate the integrity of biometric locks, certificate pinning, and root detection to ensure sophisticated attackers cannot bypass security controls using runtime manipulation tools like Frida or Magisk.

Transaction & Payment Integrity

Simulate real-world fraud scenarios by manipulating mobile-to-server traffic to detect price tampering, unauthorized fund transfers, or "replay" attacks within in-app purchasing and banking modules.

Cross-Platform API Hardening

Assess the security of mobile-specific API endpoints to prevent data leaks and unauthorized access that often occur when mobile apps share legacy backend infrastructure with web platforms.

Reporting structure and metrics

Management report

Executive Summary, Visual Risk Profile, Business Impact Analysis, Maturity Benchmarking, Strategic Remediation Roadmap, Compliance & Regulatory Attestation

Technical report

Vulnerabilities categorized by severity, Exploitation steps with screenshots and PoCs, Vulnerability score aligned with OWASP Mobile Top 10 and CVSS, Recommended mitigations.

Common metrics:

Vulnerability Count by Severity, CVSS Mean Score, Remediation Rate, Time-to-Fix, OWASP Mobile Top 10 Coverage, False Positive Rate, Vulnerability Density per KLOC, Authentication Failure Rate, Binary Analysis Pass Rate, and Critical Asset Exposure Level.

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Securing the Mobile Frontier

Healthcare & mHealth: Patient Data Privacy & Device Integrity

Specific Technical Challenges: Mobile health apps often handle Protected Health Information (PHI) on unmanaged consumer devices. Local data leakage and insecure third-party integrations are the primary attack vectors.

Insecure Local Storage: PHI or session tokens stored in unencrypted SQLite databases or application logs, accessible on rooted or compromised devices.
Biometric Bypass: Flawed implementation of Fingerprint/FaceID APIs allowing attackers to bypass the local lock screen using runtime manipulation tools like Frida.

In 2024, a major mHealth provider exposed records for over 1.5M patients due to an insecurely configured Firebase backend that synced sensitive medical history to a publicly reachable mobile endpoint.

E-Commerce & Retail: Fraud Prevention & Transaction Trust

Specific Technical Challenges: High-velocity transactions and “buy-now-pay-later” features attract sophisticated fraud. Attackers exploit the trust relationship between the mobile client and the payment gateway.

In-App Purchase Tampering: Intercepting receipt validation logic to unlock premium features or products without actual payment verification.
Client-Side Logic Manipulation: Modifying the “Price” or “Quantity” variables in the mobile memory during the checkout flow before the request reaches the server.

A 2025 retail sector study revealed a 152% increase in mobile-originated ransomware, often delivered via “copycat” apps that mimic legitimate loyalty programs to harvest credit card details.

Regulatory & Compliance Deep Dive

HIPAA & HITECH (USA)

Mandates strict “Technical Safeguards” for mobile access to PHI. Mobile testing validates that data is encrypted at rest and that “Automatic Logoff” features cannot be bypassed by backgrounding the app.

EU AI Act (Medical Devices)

As of 2025, mobile apps using AI for diagnostics are classified as High-Risk. Testing must provide documented evidence of:

Robustness & Accuracy: Validating that the AI model cannot be “poisoned” via insecure mobile API inputs.
Human Oversight: Ensuring the mobile UI clearly presents AI-driven results as recommendations rather than final medical decisions.

PCI-DSS 4.0

Requires mobile applications that process payments to undergo annual penetration testing to verify certificate pinning (preventing Man-in-the-Middle attacks) and the absence of cleartext PAN data in device memory.

Mobile App Penetration Testing FAQ:

How does mobile pentesting ensure DORA compliance?

It provides systematic risk identification, threat-led testing, and documented remediation—essential evidence to meet Digital Operational Resilience Act reporting standards and simulate major ICT incidents.

What financial risks arise from neglecting regular penetration testing?

Neglecting pen tests exposes organizations to undetected vulnerabilities leading to data breaches, ransomware attacks, and regulatory fines up to €10 million under DORA or 4% of global turnover under GDPR.

How often should mobile app pen tests be conducted for NIS2 compliance?

NIS2 requires regular security assessments and a minimum one annual testing with additional evaluations after major infrastructure changes or high-risk deployments.

How does mobile app pen testing support GDPR Article 32 compliance?

Testing validates encryption, access controls, and secure data handling practices—providing the technical evidence needed to demonstrate appropriate security measures under GDPR.

What supply-chain risks can mobile app testing uncover?

It identifies malicious or vulnerable third-party SDKs, AI-generated code flaws, and insecure dependencies that could compromise the entire application stack.

Can mobile application testing fulfill DORA's Threat-Led Penetration Testing (TLPT) requirements?

Yes. Advanced mobile pentesting simulates sophisticated, real-world threat actor tactics targeting mobile banking and fintech apps, which satisfies the rigorous, intelligence-driven TLPT framework mandated for critical financial entities.

How do you test for vulnerabilities in mobile apps utilizing embedded AI or LLM features?

We assess AI-integrated applications for prompt injection, sensitive data leakage to third-party LLM APIs, and model manipulation. This helps secure the application logic while ensuring alignment with the EU AI Act's cybersecurity provisions.

What measures are tested to prevent deepfake or presentation attacks against mobile biometric authentication?

We evaluate the application's liveness detection and its integration with the device's secure hardware environment. This ensures that unauthorized access attempts using AI-generated deepfakes, high-res photos, or synthetic voices are effectively blocked.