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Bypasses SSL/TLS certificate pinning implementations in Android and iOS applications to enable traffic interception during authorized security assessments. Covers OkHttp, TrustManager, NSURLSession, and third-party pinning library bypass techniques using Frida, Objection, and custom scripts. Activates for requests involving certificate pinning bypass, SSL pinning defeat, mobile TLS interception, or proxy-resistant app testing.

Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications including unencrypted databases, world-readable files, insecure SharedPreferences, plaintext credential storage, and improper keychain/keystore usage. Use when performing mobile penetration testing focused on OWASP M9 (Insecure Data Storage) or assessing compliance with MASVS-STORAGE requirements. Activates for requests involving mobile data storage security, local storage exploitation, SharedPreferences analysis, or mobile data leakage assessment.

Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Use when analyzing suspicious mobile applications for data exfiltration, command-and-control communication, credential stealing, SMS interception, or other malware indicators. Activates for requests involving mobile malware analysis, app behavior monitoring, trojan detection, or suspicious app investigation.

Reverse engineers iOS applications using Frida dynamic instrumentation to understand internal logic, extract encryption keys, bypass security controls, and discover hidden functionality without source code access. Use when performing authorized iOS penetration testing, analyzing proprietary protocols, understanding obfuscated logic, or extracting runtime secrets from iOS binaries. Activates for requests involving iOS reverse engineering, Frida iOS hooking, Objective-C/Swift method tracing, or iOS binary analysis.

Implements Mobile Application Management (MAM) policies to protect enterprise data on managed and unmanaged mobile devices through app-level controls including data loss prevention, selective wipe, app configuration, and containerization. Use when securing corporate apps on BYOD devices, implementing Intune App Protection Policies, or enforcing data separation between personal and work apps. Activates for requests involving MAM deployment, app protection policies, mobile containerization, or BYOD security.

Performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that enables security testers to interact with app internals without jailbreaking. Use when assessing iOS app security posture, bypassing client-side protections, dumping keychain items, inspecting filesystem storage, and evaluating runtime behavior. Activates for requests involving iOS security testing, Objection runtime analysis, Frida-based iOS assessment, or mobile runtime exploration.

Build, configure, and deploy iOS applications using XcodeGen and Swift Package Manager.

Comprehensive guidance for iOS app development. This skill aggregates specialized modules for different aspects of iOS development.

Vision-driven iOS automation using natural language commands and screenshot analysis. \n \n Operates entirely from screenshots without requiring DOM access or accessibility labels; can interact with any visible UI element regardless of technology stack \n Requires a configured vision model (Gemini, Qwen, Doubao, or similar) via environment variables for AI-powered screen understanding and action execution \n Follows a synchronous workflow: connect device, take screenshot, execute actions via nat

Take screenshots from physical iOS devices connected via USB using pymobiledevice3.