Conducting Mobile App Penetration Test
Overview
Cybersecurity skill for conducting mobile app penetration test. Follows industry best practices and security standards.
When to Use
Trigger phrases:
"conducting mobile app penetration test"
"Conducts penetration testing of iOS and Android mobile applications following th"
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.
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
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
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
- Scope the Analysis — Define what mobile app penetration test artifacts or data sources to examine and the investigation timeline.
- Preserve Evidence — Create forensic copies of relevant data. Maintain chain of custody documentation.
- Extract Key Indicators — Parse and extract relevant mobile app penetration test data points from collected artifacts.
- Correlate Findings — Cross-reference extracted data with other sources (threat intel, logs, timelines).
- Build Timeline — Construct a chronological sequence of events related to mobile app penetration test.
- Document Analysis — Write findings report with evidence, conclusions, and recommendations.
Tools
- Forensic Toolkit — Evidence collection and analysis
- Timeline Tools — Chronological event reconstruction
- Log Analysis Platform — Centralized log parsing and search
Process
- Design — Define interface, identify patterns, plan implementation
- Implement — Write code following existing conventions, add tests
- Verify — Run tests, check integration, validate behavior
Verification
Anti-Rationalization Table
| Rationalization |
Reality |
| "We are too small to be targeted" |
Automated attacks target everyone. Size does not matter. |
| "Security slows us down" |
A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" |
Vulnerabilities in production are exploited within hours. Fix before deploy. |
1---2name: conducting-mobile-app-penetration-test3description: Use when 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.4license: Apache-2.05---67# Conducting Mobile App Penetration Test89## Overview1011Cybersecurity skill for conducting mobile app penetration test. Follows industry best practices and security standards.1213## When to Use14**Trigger phrases:**15- "conducting mobile app penetration test"16- "Conducts penetration testing of iOS and Android mobile applications following th"171819- Testing mobile applications before release to identify security vulnerabilities and data protection issues20- Conducting compliance assessments against OWASP MASVS (Mobile Application Security Verification Standard) levels L1 and L221- Evaluating the security of mobile banking, healthcare, or government applications handling sensitive data22- Testing mobile apps that interact with backend APIs to assess the end-to-end security of the mobile ecosystem23- Assessing mobile application resistance to reverse engineering, tampering, and runtime manipulation2425**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.262728## When NOT to Use2930- When you lack proper authorization for testing31- For production systems without change management32- When the task requires legal or compliance expertise beyond technical scope333435## Prerequisites3637- Target application IPA (iOS) and APK (Android) files or access to download from a private distribution channel38- Rooted Android device or emulator (Genymotion, Android Studio AVD) with Frida, Objection, and Magisk installed39- Jailbroken iOS device or Corellium virtual device with Frida, Objection, and SSL Kill Switch installed40- Static analysis tools: jadx (Android decompilation), Hopper/Ghidra (iOS binary analysis), MobSF (automated scanning)41- Burp Suite Professional configured as proxy for intercepting mobile app traffic with CA certificate installed on the test device424344> **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.4546## Workflow4748```python49# Example: IOC detection50import re5152IOC_PATTERNS = {53 "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",54 "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",55 "hash_md5": r"\b[a-f0-9]{32}\b",56 "hash_sha256": r"\b[a-f0-9]{64}\b",57}5859def extract_iocs(text: str) -> dict:60 return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}61```62631. **Scope the Analysis** — Define what mobile app penetration test artifacts or data sources to examine and the investigation timeline.642. **Preserve Evidence** — Create forensic copies of relevant data. Maintain chain of custody documentation.653. **Extract Key Indicators** — Parse and extract relevant mobile app penetration test data points from collected artifacts.664. **Correlate Findings** — Cross-reference extracted data with other sources (threat intel, logs, timelines).675. **Build Timeline** — Construct a chronological sequence of events related to mobile app penetration test.686. **Document Analysis** — Write findings report with evidence, conclusions, and recommendations.6970## Tools7172- **Forensic Toolkit** — Evidence collection and analysis73- **Timeline Tools** — Chronological event reconstruction74- **Log Analysis Platform** — Centralized log parsing and search757677## Process78791. **Design** — Define interface, identify patterns, plan implementation801. **Implement** — Write code following existing conventions, add tests811. **Verify** — Run tests, check integration, validate behavior8283## Verification8485- [ ] All mobile app penetration test procedures executed completely and documented86- [ ] Findings validated against multiple data sources87- [ ] False positives identified and filtered88- [ ] Results documented with evidence and timestamps89- [ ] Recommendations provided with risk-based prioritization9091## Anti-Rationalization Table9293| Rationalization | Reality |94|---|---|95| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |96| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |97| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |