Mobile Security

Mobile Application Security

iOS and Android assessment for client runtime and backend trust failures

We test how your mobile client behaves under adversarial conditions, then validate whether backend services still enforce trust boundaries when device assumptions break.

Engagement Duration

5-10 business days

Primary Outcome

A practical remediation plan covering client hardening, API trust controls, and reproducible validation for engineering teams.

How This Engagement Works

Methodology + Threat Model

Human-led

We define scope, trust boundaries, and likely attacker goals for your exact environment.

AI Lead Generation

AI-assisted

Automation surfaces anomalous behavior, edge cases, and high-value paths worth manual attention.

Exploit Validation

Human-led

Every reported finding is manually reproduced and impact-tested before inclusion.

Remediation + Retest

Collaborative

We deliver developer-ready fixes and perform a free retest after your patch window.

Where AI Usually Finds Interesting Leads

01

Inconsistent token handling between foreground/background app states

02

Sensitive data remnants in local storage, logs, or crash artifacts

03

Client-side checks that can be bypassed before API requests are sent

04

Backend trust assumptions tied to mutable device attributes

Client Runtime and Data Protection

We evaluate how resilient the app is when an attacker controls the device context, instrumentation layer, or local state.

Local data handling in keychain/keystore and app storage

Transport protections including pinning behavior validation

Root/jailbreak and runtime tamper resistance checks

Sensitive artifact exposure in logs, cache, and backups

Mobile-to-API Trust Validation

AI flags suspicious request patterns and state transitions; analysts validate whether backend authorization still holds after client compromise.

Token lifecycle integrity and session invalidation behavior

Backend authorization independence from client-side controls

Parameter tampering, replay, and sequencing abuse

Error handling and metadata leakage under adversarial requests

Coverage Areas

Area 01

iOS and Android clients

Area 02

On-device data storage

Area 03

Transport and session security

Area 04

Runtime tamper resistance

Area 05

Client/API trust boundaries

Area 06

Auth and entitlement flow

Area 07

Request integrity

Area 08

Privacy-sensitive data handling

Reporting and Retest

Client-Side Findings

Validated issues in local storage, runtime controls, and transport behavior.

Backend Trust Findings

Evidence of API vulnerabilities exposed through client compromise scenarios.

Platform-Specific Remediation

Actionable fixes aligned to iOS and Android implementation realities.

Free Retest Validation

Post-remediation verification confirming closure of mobile and API trust findings.