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mukul975
efca3ec611
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
62 lines
2.2 KiB
Markdown
62 lines
2.2 KiB
Markdown
---
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name: analyzing-android-malware-with-apktool
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description: Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source
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recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
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domain: cybersecurity
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subdomain: malware-analysis
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tags:
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- Android
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- APK
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- apktool
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- jadx
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- androguard
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- mobile-malware
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- static-analysis
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- reverse-engineering
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- DE.AE-02
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- RS.AN-03
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- ID.RA-01
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- DE.CM-01
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---
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# Analyzing Android Malware with Apktool
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## Overview
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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.
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## When to Use
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- When investigating security incidents that require analyzing android malware with apktool
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Python 3.9+ with `androguard`
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- apktool (for resource decompilation)
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- jadx (for Java source recovery, optional)
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- Isolated analysis environment (VM or sandbox)
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- Sample APK files for analysis
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## Steps
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1. Parse APK with androguard to extract manifest metadata
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2. Enumerate requested permissions and flag dangerous combinations
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3. List activities, services, receivers, and providers from manifest
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4. Scan for suspicious API calls (reflection, crypto, SMS, telephony)
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5. Detect dynamic code loading patterns (DexClassLoader, Runtime.exec)
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6. Extract hardcoded URLs, IPs, and C2 indicators from strings
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7. Generate risk assessment report with MITRE ATT&CK mobile mappings
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## Expected Output
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- JSON report with permission analysis, component listing, suspicious API calls, network indicators, and risk score
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- Extracted strings and potential IOCs from the APK
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