performing-android-app-static-analysis-with-mobsf
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. Activates for requests involving Android static analysis, MobSF scanning, APK security assessment, or mobile application code review.
- License 许可
- Apache-2.0
- 最近更新
- 2026-08-31
- Stars
- ★ 3.6w
- Forks
- 4.4k
01 前言 Front Matter
- name
- performing-android-app-static-analysis-with-mobsf
- tags
- [ "mobile-security", "android", "mobsf", "static-analysis", "owasp-mobile", "penetration-testing" ]
- author
- mahipal
- domain
- cybersecurity
- license
- Apache-2.0
- version
- 1.0.0
- nist_csf
- [ "PR.PS-01", "PR.AA-05", "ID.RA-01", "DE.CM-09" ]
- subdomain
- mobile-security
- description
- 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. Activates for requests involving Android static analysis, MobSF scanning, APK security assessment, or mobile application code review.
- mitre_attack
- [ "T1059", "T1056", "T1036", "T1078" ]
02 资源文件 7
- 资产文件assets/template.md3.6 KB
- 许可证LICENSE11.0 KB
- 参考文档references/api-reference.md5.5 KB
- 参考文档references/standards.md2.9 KB
- 参考文档references/workflows.md3.7 KB
- 脚本scripts/agent.py9.0 KB
- 脚本scripts/process.py8.1 KB
03 SKILL.md 正文
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 enabledandroid:allowBackup="true"enabling data extraction via ADB- Missing
android:networkSecurityConfigfor 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
| Term | Definition |
|---|---|
| Static Analysis | Examination of application code and resources without executing the program; catches structural and pattern-based vulnerabilities |
| APK Decompilation | Process of recovering Java/Kotlin source from compiled Dalvik bytecode using tools like JADX or apktool |
| AndroidManifest.xml | Configuration file declaring app components, permissions, and security attributes; primary target for manifest analysis |
| Certificate Pinning | Technique binding an app to specific server certificates to prevent man-in-the-middle attacks via rogue CAs |
| ProGuard/R8 | Code 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
passwordin 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
checksecand manual review for.sofiles.
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