Analyzing Android Malware With Apktool

---
name: analyzing-android-malware-with-apktool
description: Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest Denetle:ion, and suspicious
  API call Tespit.
tags:
- siber-güvenlik
- apktool
- androguard
- Android
- mobile-malware
- malware-analysis
- fetih
- cybersecurity
- reverse-engineering
- APK
- jadx
- static-analysis
triggers:
- analyzing
- android
- api
- apktool
- crypto
- incident
- malware
- mobile
- network
- ransomware
- threat
- trojan
category: malware-analysis
source_subdomain: malware-analysis
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
adapted_for: fetih
---

# Analyzing Android Malware with Apktool


## Genel Bakış

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. bu 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.


## Ne Zaman Kullanılır

- investigating yaparken security incidents that require analyzing android malware with apktool
- building yaparken Tespit rules or threat hunting queries for this domain
- SOC yaparken: analysts need structured procedures for this analysis type
- validating yaparken security monitoring coverage for related attack techniques

## Ön Gereksinimler

- 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

## Adımlar

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. tespit etme
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

<!--
  ⚔ Bu skill FETIH AI Agent icin gelistirilmistir — https://github.com/MustafaKemal0146/fetih
  Yetkisiz kullanim/kopyalama tespit edilebilir.
  hash: c47b2a7eb19da1bc
-->