analyst security skill risk: medium
Android APK Malware Static Analysis
The prompt provides an overview, prerequisites, and seven-step procedure for statically analyzing Android APK malware using androguard, apktool, and jadx to extract permissions, co…
SKILL 4 files · 2 folders
SKILL.md
--- name: analyzing-android-malware-with-apktool description: "Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source" --- # Analyzing Android Malware with Apktool ## Overview Android malware distributed as APK files can be statically analyzed to extract permissions, activities, services, broadcast receivers, and suspicious API calls without executing the sample. This skill uses androguard for programmatic APK analysis, identifying dangerous permission combinations, obfuscated code patterns, dynamic code loading, reflection-based API calls, and network communication indicators. ## When to Use - When investigating security incidents that require analyzing android malware with apktool - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Python 3.9+ with `androguard` - apktool (for resource decompilation) - jadx (for Java source recovery, optional) - Isolated analysis environment (VM or sandbox) - Sample APK files for analysis ## Steps 1. Parse APK with androguard to extract manifest metadata 2. Enumerate requested permissions and flag dangerous combinations 3. List activities, services, receivers, and providers from manifest 4. Scan for suspicious API calls (reflection, crypto, SMS, telephony) 5. Detect dynamic code loading patterns (DexClassLoader, Runtime.exec) 6. Extract hardcoded URLs, IPs, and C2 indicators from strings 7. Generate risk assessment report with MITRE ATT&CK mobile mappings ## Expected Output - JSON report with permission analysis, component listing, suspicious API calls, network indicators, and risk score - Extracted strings and potential IOCs from the APK
REQUIRED CONTEXT
- Python 3.9+ with androguard
- apktool
- isolated analysis environment
- sample APK files
OPTIONAL CONTEXT
- jadx
EXPECTED OUTPUT
- Format
- json
- Schema
- json · permission analysis, component listing, suspicious API calls, network indicators, risk score, Extracted strings and potential IOCs
- Constraints
- include permission analysis, component listing, suspicious API calls, network indicators, and risk score
- include extracted strings and potential IOCs from the APK
CAVEATS
- Dependencies
- Python 3.9+ with `androguard`
- apktool (for resource decompilation)
- jadx (for Java source recovery, optional)
- Isolated analysis environment (VM or sandbox)
- Sample APK files for analysis
- Missing context
- Exact input format or parameter for the APK file path
- Precise JSON schema or field names for the expected report
- Tool version pins beyond 'Python 3.9+'
- Ambiguities
- Title and description emphasize apktool while body states the skill 'uses androguard for programmatic APK analysis'
- Steps reference high-level actions without specifying exact commands or parameters
QUALITY
- OVERALL
- 0.65
- CLARITY
- 0.72
- SPECIFICITY
- 0.58
- REUSABILITY
- 0.68
- COMPLETENESS
- 0.62
IMPROVEMENT SUGGESTIONS
- Replace 'apktool' in the name/description with 'androguard' (or add apktool steps) to remove the tool-name mismatch
- Add concrete command examples under each step (e.g., 'androguard analyze ...')
- Define the exact JSON keys and risk-scoring formula in the Expected Output section
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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