conducting-mobile-app-penetration-test
'Conducts penetration testing of iOS and Android mobile applications
Install / Use
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill conducting-mobile-app-penetration-testInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of conducting-mobile-app-penetration-test
conducting-mobile-app-penetration-test scores 93/100 on our quality scale, 189th of 544 Security skills we index (top 35%).
Its SKILL.md is 12 KB long, well organised into 15 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 25 days ago, so conducting-mobile-app-penetration-test is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-26. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
conducting-mobile-app-penetration-test compared with similar skills
All 4 of these similar skills score higher than conducting-mobile-app-penetration-test; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| conducting-mobile-app-penetration-test (this skill)by mukul975 | 93 | 33.3k | 25d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
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Frequently asked questions
- How do I install conducting-mobile-app-penetration-test?
- Run
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill conducting-mobile-app-penetration-test. The install tabs above show the steps for each supported agent. - Which AI agents does conducting-mobile-app-penetration-test work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is conducting-mobile-app-penetration-test safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is conducting-mobile-app-penetration-test still maintained?
- The repository was last updated 25 days ago, so conducting-mobile-app-penetration-test is actively maintained.
Skill content
View source on GitHubname: 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.apkto obtain Java/Kotlin source code - Review
AndroidManifest.xmlfor 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 runserverand 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"
- Android: Use Frida script:
- 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" explorethenios 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 screenshots (iOS captures screenshots during app backgrounding)
- Verify data protection class: sensitive files should use NSFileProtectionComplete
Step 4: Authentication and Session Management
Test mobile-specific authentication controls:
- Biometric bypass: Test if biometric authentication can be bypassed by hooking the authentication callback with Frida to always return success
- Token storage: Verify that authentication tokens are stored in the Keychain (iOS) or Android Keystore, not in SharedPreferences or files
- Session timeout: Verify that sessions expire after a reasonable idle timeout and that tokens are invalidated server-side on logout
- Root/jailbreak detection bypass: Test if the app detects rooted/jailbroken devices and if the detection can be bypassed with Frida or Magisk Hide
- Deep link abuse: Test if custom URL schemes or universal links can be used to bypass authentication or access restricted functionality
Step 5: Runtime Manipulation
Test the application's resistance to runtime attacks:
- Frida hooking: Use Frida to hook and modify application functions at runtime:
- Bypass root detection: hook the detection function to return false
- Modify return values of authentication checks
- Intercept encryption functions to capture plaintext data before encryption
- Bypass certificate pinning by hooking SSL verification
- Method swizzling (iOS): Use Frida to replace Objective-C method implementations
- Intent manipulation (Android): Send crafted intents to exported components:
adb shell am start -n com.target.app/.InternalActivity -e "user_id" "admin" - Tampering detection: Modify the APK/IPA (add code, change resources), re-sign, and install. Verify whether the app detects tampering.
Key Concepts
| Term | Definition | |------|------------| | OWASP MASTG | Mobile Application Security Testing Guide; comprehensive manual for mobile app security testing covering both iOS and Android platforms | | Certificate Pinning | A mobile security control that restricts which TLS certificates the app trusts, preventing man-in-the-middle attacks through proxy interception | | Frida | Dynamic instrumentation toolkit that allows injection of JavaScript into running processes to hook functions, modify behavior, and bypass security controls | | Root/Jailbreak Detection | Application-level checks to detect if the device has been modified to grant root access, typically blocking app usage on compromised devices | | Android Keystore | Hardware-backed credential storage on Android that protects cryptographic keys and secrets from extraction even on rooted devices | | App Transport Security (ATS) | iOS security feature that enforces HTTPS connections by default; ATS exceptions may indicate insecure network communication | | Deep Links | URL schemes that open specific screens within a mobile application, which may bypass normal navigation and authentication flows if not properly validated |
Tools & Systems
- Frida / Objection: Dynamic instrumentation tools for hooking functions, bypassing security controls, and manipulating application behavior at runtime
- MobSF (Mobile Security Framework): Automated static and dynamic analysis platform for Android and iOS applications
- jadx: Android decompiler that converts APK bytecode to readable Java source code for manual code review
- Burp Suite Professional: HTTP proxy for intercepting and modifying mobile app API traffic after bypassing certificate pinning
Common Scenarios
Scenario: Mobile Banking Application Security Assessment
Context: A bank is launching a new mobile banking app for iOS and Android. The app handles account viewing, fund transfers, bill payment, and check deposit. OWASP MASVS L2 compliance is required due to the financial data handled.
Approach:
- Static analysis of the Android APK reveals API endpoints, a hardcoded staging server URL, and an AWS API key in a configuration file
- Certificate pinning is implemented but bypassed with Frida SSL pinning bypass script
- API traffic analysis reveals that the balance check endpoint returns all account numbers associated with the user, not just the requested account
- Local data storage analysis finds that the app caches the last 10 transactions in an unencrypted SQLite database
- Biometric authentication bypass: Frida hook on the biometric callback always returns success, granting access without fingerprint
- Root detection is present but bypassed with Magisk Hide module, allowing the app to run on a rooted device with full data access
Pitfalls:
- Testing only on an emulator and missing hardware-specific security features (Android Keystore hardware backing, iOS Secure Enclave)
- Not testing both iOS and Android versions, as they may have different implementations and different vulnerabilities
- Ignoring the backend API security because it was "tested separately" when the mobile app may call API endpoints differently than the web app
- Failing to test certificate pinning bypass, resulting in an incomplete network analysis
Output Format
## Finding: Biometric Authentication Bypass via Frida Instrumentation
**ID**: MOB-003
**Severity**: High (CVSS 7.7)
**Platform**: Android and iOS
**OWASP MASVS**: MASVS-AUTH-2 (Biometric Authentication)
**Description**:
The mobile banking app's biometric authentication can be bypassed using Frida
dynamic instrumentation. The authentication callback function accepts a boolean
result from the biometric API, which can be hooked and forced to return true
without presenting a valid fingerprint or face scan.
**Proof of Concept (Android)**:
frida -U -f com.bank.mobileapp -l bypass-biometric.js --no-pause
// bypass-biometric.js
Java.perform(function() {
var BiometricCallback = Java.use("com.bank.mobileapp.auth.BiometricCallback");
BiometricCallback.onAuthenticationSucceeded.implementation = function(result) {
co
Truncated for display — read the full file on GitHub.
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
