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/conducting-mobile-app-penetration-test

Conducts penetration testing of iOS and Android mobile applications

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cybersecurity-skills
28k200 skills
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$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill conducting-mobile-app-penetration-test --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/conducting-mobile-app-penetration-test

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Conducts penetration testing of iOS and Android mobile applications

SKILL.md

conducting-mobile-app-penetration-test.SKILL.md
name: conducting-mobile-app-penetration-test
description: 'Conducts penetration testing of iOS and Android mobile applications
  following the OWASP Mobile Application Security Testing Guide (MASTG) to identify
  vulnerabilities in data storage, network communication, authentication, cryptography,
  and platform-specific security controls. The tester performs static analysis of
  application binaries, dynamic analysis at runtime, and API security testing to evaluate
  the complete mobile attack surface. Activates for requests involving mobile app
  pentest, iOS security assessment, Android security testing, or OWASP MASTG assessment.

  '
domain: cybersecurity
subdomain: penetration-testing
tags:
- mobile-pentest
- OWASP-MASTG
- Android-security
- iOS-security
- mobile-application-security
version: 1.0.0
author: mahipal
license: Apache-2.0
nist_ai_rmf:
- MEASURE-2.7
- MAP-5.1
- MANAGE-2.4
atlas_techniques:
- AML.T0070
- AML.T0066
- AML.T0082
nist_csf:
- ID.RA-01
- ID.RA-06
- GV.OV-02
- DE.AE-07
mitre_attack:
- T1426
- T1409
- T1521.003
- T1633
- T1417
- T1422

Conducting Mobile App Penetration Test

When to Use

  • Testing mobile applications before release to identify security vulnerabilities and data protection issues
  • Conducting compliance assessments against OWASP MASVS (Mobile Application Security Verification Standard) levels L1 and L2
  • Evaluating the security of mobile banking, healthcare, or government applications handling sensitive data
  • Testing mobile apps that interact with backend APIs to assess the end-to-end security of the mobile ecosystem
  • Assessing mobile application resistance to reverse engineering, tampering, and runtime manipulation

**Do not use** against mobile applications without written authorization from the application owner, for distributing modified or repackaged applications, or for testing apps on the public app stores without a separate test build.

Prerequisites

  • Target application IPA (iOS) and APK (Android) files or access to download from a private distribution channel
  • Rooted Android device or emulator (Genymotion, Android Studio AVD) with Frida, Objection, and Magisk installed
  • Jailbroken iOS device or Corellium virtual device with Frida, Objection, and SSL Kill Switch installed
  • Static analysis tools: jadx (Android decompilation), Hopper/Ghidra (iOS binary analysis), MobSF (automated scanning)
  • Burp Suite Professional configured as proxy for intercepting mobile app traffic with CA certificate installed on the test device

> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Workflow

Step 1: Static Analysis

Analyze the application binary without executing it:

**Android Static Analysis:**

  • Decompile the APK: `jadx -d output/ target.apk` to obtain Java/Kotlin source code
  • Review `AndroidManifest.xml` for exported components (activities, services, receivers, content providers), permissions, and debuggable flag
  • Search for hardcoded secrets: `grep -rn "api_key\|password\|secret\|token\|aws_" output/`
  • Identify insecure data storage patterns: SharedPreferences with sensitive data, SQLite databases without encryption, files in external storage
  • Check for WebView vulnerabilities: `setJavaScriptEnabled(true)`, `addJavascriptInterface()`, and loading untrusted content
  • Run MobSF automated scan: `python manage.py runserver` and upload the APK for automated static analysis

**iOS Static Analysis:**

  • Extract the IPA and locate the Mach-O binary
  • Use `otool -L <binary>` to list linked frameworks and identify third-party libraries
  • Analyze with Ghidra or Hopper for hardcoded URLs, API endpoints, and embedded credentials
  • Check Info.plist for App Transport Security (ATS) exceptions that allow insecure HTTP connections
  • Review embedded entitlements for excessive capabilities

Step 2: Network Security Testing

Intercept and analyze all network communications:

  • Configure Burp Suite as proxy on the test device and install the Burp CA certificate
  • Exercise all application functionality while Burp captures API traffic
  • **SSL/TLS validation**: Verify the app validates server certificates properly. If the app fails to connect through the proxy, it may implement certificate pinning.
  • **Certificate pinning bypass**:
  • Android: Use Frida script: `frida -U -f com.target.app -l ssl-pinning-bypass.js --no-pause`
  • iOS: Use SSL Kill Switch or Objection: `objection -g "Target App" explore --startup-command "ios sslpinning disable"`
  • **API traffic analysis**: Review all API calls for:
  • Sensitive data transmitted without encryption
  • Authentication tokens in URL parameters (visible in logs)
  • Excessive data in API responses beyond what the UI displays
  • Missing or weak authentication on API endpoints
  • **WebSocket and custom protocols**: Check for non-HTTP communication channels that may bypass standard proxy interception

Step 3: Data Storage Analysis

Test for insecure local data storage:

**Android Data Storage:**

  • Access app data directory: `/data/data/com.target.app/`
  • Check SharedPreferences XML files for stored credentials, tokens, and PII
  • Examine SQLite databases: `sqlite3 /data/data/com.target.app/databases/*.db ".dump"`
  • Check for sensitive data in application logs: `logcat -d | grep -i "password\|token\|key"`
  • Verify that application data is excluded from backups: `android:allowBackup="false"` in AndroidManifest.xml
  • Check clipboard for sensitive data leakage

**iOS Data Storage:**

  • Examine the Keychain for stored credentials: `objection -g "Target App" explore` then `ios keychain dump`
  • Check NSUserDefaults/plist files: `find /var/mobile/Containers/Data/Application/ -name "*.plist" -exec plutil -p {} \;`
  • Inspect SQLite databases and Core Data stores for unencrypted sensitive data
  • Check for data leaking through s
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817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0

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