# Performing Android App Static Analysis With Mobsf

> Use when performs automated static analysis of Android applications using Mobile Security Framework (MobSF) to identify hardcoded secrets, insecure permissions, vulnerable components, weak cryptography, and code-level security flaws without executing the application. Use when assessing Android APK/AAB files for security vulnerabilities before deployment, during penetration testing, or as part of CI/CD security gates.

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

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# Performing Android App Static Analysis With Mobsf

## Overview

Cybersecurity skill for performing android app static analysis with mobsf. Follows industry best practices and security standards.

## When to Use

**Trigger phrases:**
- "performing android app static analysis with mobsf"
- "Conducting security assessment of Android APK or AAB files before production rel"
- "Integrating automated mobile security scanning into CI/CD pipelines"
- "Performing initial triage of Android applications during penetration testing eng"


Use this skill when:
- Conducting security assessment of Android APK or AAB files before production release
- Integrating automated mobile security scanning into CI/CD pipelines
- Performing initial triage of Android applications during penetration testing engagements
- Reviewing third-party Android applications for supply chain security risks

**Do not use** this skill as a replacement for manual code review or dynamic analysis -- MobSF static analysis catches pattern-based vulnerabilities but misses runtime logic flaws.


## 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

- MobSF v4.x installed via Docker (`docker pull opensecurity/mobile-security-framework-mobsf`) or local setup
- Target Android APK, AAB, or source code ZIP
- Python 3.10+ for MobSF REST API integration
- JADX decompiler (bundled with MobSF) for Java/Kotlin source recovery
- Network access to MobSF web interface (default: http://localhost:8000)

## 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 android app static analysis operations.
2. **Prepare Environment** — Set up tools, access, and data sources required for android app static analysis.
3. **Execute Core Workflow** — Use mobsf to perform android app static analysis 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

- **mobsf** — Primary tool for this skill
- **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 android app static analysis 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. |