# Performing Dynamic Analysis Of Android App

> Use when performs runtime dynamic analysis of Android applications using Frida, Objection, and Android Debug Bridge to observe application behavior during execution, intercept function calls, modify runtime values, and identify vulnerabilities that static analysis misses. Use when testing Android apps for runtime security flaws, hooking sensitive methods, bypassing client-side protections, or analyzing obfuscated applications.

- Skill: `oyi77/performing-dynamic-analysis-of-android-app` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/performing-dynamic-analysis-of-android-app`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/performing-dynamic-analysis-of-android-app/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/performing-dynamic-analysis-of-android-app

---


# Performing Dynamic Analysis Of Android App

## Overview

Cybersecurity skill for performing dynamic analysis of android app. Follows industry best practices and security standards.

## When to Use

**Trigger phrases:**
- "performing dynamic analysis of android app"
- "Static analysis results need runtime validation on an actual Android device"
- "The target app uses obfuscation (DexGuard, custom packers) that prevents effecti"
- "Testing requires observing actual API calls, decrypted data, or runtime-generate"


Use this skill when:
- Static analysis results need runtime validation on an actual Android device
- The target app uses obfuscation (DexGuard, custom packers) that prevents effective static analysis
- Testing requires observing actual API calls, decrypted data, or runtime-generated values
- Assessing root detection, tamper detection, or anti-debugging implementations

**Do not use** this skill on production environments without authorization -- dynamic instrumentation can alter app behavior and trigger security alerts.


## 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

- Rooted Android device or emulator (Genymotion, Android Studio AVD with writable system)
- Frida server installed on device matching the architecture (arm64, x86_64)
- Python 3.10+ with `frida-tools` and `objection` packages
- ADB configured and device connected
- Target APK installed on device

## Workflow

```python
# 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()}
```

1. **Plan Operations** — Define objectives, scope, and success criteria for dynamic analysis of android app operations.
2. **Prepare Environment** — Set up tools, access, and data sources required for dynamic analysis of android app.
3. **Execute Core Workflow** — Perform the dynamic analysis of android app operations following established procedures.
4. **Validate Results** — Verify that results meet quality standards and objectives.
5. **Report Findings** — Document results, observations, and recommendations.
6. **Follow Up** — Track remediation actions and verify fixes where applicable.

## Tools

- **Analysis Platform** — Data processing and visualization
- **Collaboration Tools** — Team coordination and knowledge sharing


## Process

1. **Design** — Define interface, identify patterns, plan implementation
1. **Implement** — Write code following existing conventions, add tests
1. **Verify** — Run tests, check integration, validate behavior

## Verification

- [ ] All dynamic analysis of android app procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## 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. |