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Android App Static Analysis

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Automate security assessments of Android apps with MobSF.

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Free · Opens the source repo

What Android App Static Analysis does

This skill facilitates automated static analysis of Android applications using the Mobile Security Framework (MobSF). By leveraging MobSF, developers and security professionals can identify potential vulnerabilities in Android APK or AAB files without executing the application. The skill is particularly useful for assessing hardcoded secrets, insecure permissions, vulnerable components, weak cryptography, and other code-level security flaws. It streamlines the security assessment process, making it easier to ensure that applications are secure before deployment.

To utilize this skill, users must have MobSF set up, either via Docker or a local installation. The process begins with deploying MobSF and obtaining an API key, which is essential for programmatic interaction with the MobSF REST API. Users can then upload their APK files for analysis, trigger scans, and retrieve detailed reports that highlight critical findings mapped to OWASP Mobile Top 10 vulnerabilities. The skill supports integration into CI/CD pipelines, allowing automated security checks as part of the development workflow.

This skill is ideal for security analysts, mobile developers, and penetration testers who need to conduct thorough security assessments of Android applications. It is particularly valuable during the pre-release phase of app development, during penetration testing engagements, or when reviewing third-party applications for security risks. By automating the static analysis process, users can save time and enhance the security posture of their mobile applications.

When to use it

Use this skill when conducting security assessments of Android applications prior to production release or integrating security scanning into CI/CD workflows.

When not to use it

This skill should not replace manual code reviews or dynamic analysis, as it may miss runtime logic flaws.

What you can build with it

Pre-Release Security Assessment

Use this skill to perform a thorough security assessment of an Android application before its production release.

CI/CD Integration

Integrate this skill into your CI/CD pipeline to automate security scans of Android applications during the build process.

Third-Party App Review

Utilize this skill to assess the security of third-party Android applications for potential supply chain risks.

How to install Android App Static Analysis

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1. Install with the skills CLI

npx skills add mukul975/anthropic-cybersecurity-skills/performing-android-app-static-analysis-with-mobsf --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mukul975

Performing Android App Static Analysis with MobSF

When to Use

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.

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

Step 1: Deploy MobSF and Obtain API Key

Launch MobSF using Docker for isolated, reproducible scanning:

docker run -it --rm -p 8000:8000 opensecurity/mobile-security-framework-mobsf:latest

Retrieve the REST API key from the MobSF web interface at http://localhost:8000/api_docs or from the startup console output. The API key enables programmatic scanning.

Step 2: Upload APK for Static Analysis

Upload the target APK using the MobSF REST API:

curl -F "file=@target_app.apk" http://localhost:8000/api/v1/upload \
  -H "Authorization: <API_KEY>"

Response includes the hash identifier used for subsequent API calls. MobSF automatically decompiles the APK using JADX, extracts the AndroidManifest.xml, and indexes all resources.

Step 3: Trigger and Retrieve Static Scan Results

Initiate the static scan and retrieve results:

# Trigger scan
curl -X POST http://localhost:8000/api/v1/scan \
  -H "Authorization: <API_KEY>" \
  -d "scan_type=apk&file_name=target_app.apk&hash=<FILE_HASH>"

# Retrieve JSON report
curl -X POST http://localhost:8000/api/v1/report_json \
  -H "Authorization: <API_KEY>" \
  -d "hash=<FILE_HASH>"

Step 4: Analyze Critical Findings

MobSF static analysis covers these categories mapped to OWASP Mobile Top 10 2024:

Manifest Analysis (M8 - Security Misconfiguration):

  • Exported activities, services, receivers, and content providers without permission guards
  • android:debuggable="true" left enabled
  • android:allowBackup="true" enabling data extraction via ADB
  • Missing android:networkSecurityConfig for certificate pinning

Code Analysis (M1 - Improper Credential Usage):

  • Hardcoded API keys, passwords, and tokens in Java/Kotlin source
  • Insecure SharedPreferences usage for storing sensitive data
  • Weak or broken cryptographic implementations (ECB mode, static IV, hardcoded keys)

Network Security (M5 - Insecure Communication):

  • Missing certificate pinning configuration
  • Custom TrustManagers that accept all certificates
  • Cleartext HTTP traffic allowed without exception domains

Binary Analysis (M7 - Insufficient Binary Protections):

  • Missing ProGuard/R8 obfuscation
  • Native library vulnerabilities (stack canaries, NX bit, PIE)
  • Debugger detection absence

Step 5: Generate and Export Reports

Export findings in multiple formats for stakeholder communication:

# PDF report
curl -X POST http://localhost:8000/api/v1/download_pdf \
  -H "Authorization: <API_KEY>" \
  -d "hash=<FILE_HASH>" -o report.pdf

# JSON for programmatic processing
curl -X POST http://localhost:8000/api/v1/report_json \
  -H "Authorization: <API_KEY>" \
  -d "hash=<FILE_HASH>" -o report.json

Step 6: Integrate into CI/CD Pipeline

Add MobSF scanning as a build gate:

# GitHub Actions example
- name: MobSF Static Analysis
  run: |
    UPLOAD=$(curl -s -F "file=@app/build/outputs/apk/release/app-release.apk" \
      http://mobsf:8000/api/v1/upload -H "Authorization: $MOBSF_API_KEY")
    HASH=$(echo $UPLOAD | jq -r '.hash')
    curl -s -X POST http://mobsf:8000/api/v1/scan \
      -H "Authorization: $MOBSF_API_KEY" \
      -d "scan_type=apk&file_name=app-release.apk&hash=$HASH"
    SCORE=$(curl -s -X POST http://mobsf:8000/api/v1/scorecard \
      -H "Authorization: $MOBSF_API_KEY" -d "hash=$HASH" | jq '.security_score')
    if [ "$SCORE" -lt 60 ]; then exit 1; fi

Key Concepts

TermDefinition
Static AnalysisExamination of application code and resources without executing the program; catches structural and pattern-based vulnerabilities
APK DecompilationProcess of recovering Java/Kotlin source from compiled Dalvik bytecode using tools like JADX or apktool
AndroidManifest.xmlConfiguration file declaring app components, permissions, and security attributes; primary target for manifest analysis
Certificate PinningTechnique binding an app to specific server certificates to prevent man-in-the-middle attacks via rogue CAs
ProGuard/R8Code obfuscation and shrinking tools that make reverse engineering more difficult by renaming classes and removing unused code

Tools & Systems

  • MobSF: Automated mobile security analysis framework supporting static and dynamic analysis of Android/iOS apps
  • JADX: Dex-to-Java decompiler for recovering readable source code from Android APK files
  • apktool: Tool for reverse engineering Android APK files, decoding resources to near-original form
  • Android Lint: Google's static analysis tool for Android-specific code quality and security issues
  • Semgrep: Pattern-based static analysis engine with mobile-specific rule packs for custom vulnerability detection

Common Pitfalls

  • Ignoring false positives: MobSF flags patterns like password in variable names even when not storing actual credentials. Triage all HIGH findings manually before reporting.
  • Missing obfuscated code: Static analysis accuracy drops significantly against obfuscated apps. Supplement with dynamic analysis for apps using DexGuard or custom packers.
  • Outdated MobSF rules: Security rules evolve with Android API levels. Ensure MobSF is updated to match the target app's targetSdkVersion.
  • Skipping native code analysis: MobSF analyzes Java/Kotlin but has limited coverage of native C/C++ libraries. Use checksec and manual review for .so files.

Frequently asked questions about Android App Static Analysis

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