Analyzing Android Malware with Apktool
SkillSecurityOnce added, your AI can inspect Android apps for signs of malware without running them. It unpacks an app package with apktool and turns the app's code back into readable Java source with jadx, so what the app actually does can be reviewed. It suits security work on suspicious or known malware samples.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, share an Android app file (APK) you want checked and ask your AI to analyze it for malicious behavior. You can also ask it to decompile the app and summarize anything suspicious it finds.
Then ask your AI: use the Analyzing Android Malware with Apktool skill
What your AI can do with it
- Decompile Android app packages to see what is inside
- Recover readable Java source code from an app
- Examine suspected malware without running it
- Analyze Android APK malware samples for security reviews
What this skill tells your AI
The instructions your AI receives, as published by 26zl/cybersec-toolkit in .claude/skills/analyzing-android-malware-with-apktool/SKILL.md and read by ahel’s review.
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
- Parse APK with androguard to extract manifest metadata
- Enumerate requested permissions and flag dangerous combinations
- List activities, services, receivers, and providers from manifest
- Scan for suspicious API calls (reflection, crypto, SMS, telephony)
- Detect dynamic code loading patterns (DexClassLoader, Runtime.exec)
- Extract hardcoded URLs, IPs, and C2 indicators from strings
- 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
Signals
- GitHub stars
- 54
- Forks
- 10
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
analyzing-android-malware-with-apktool- Source
- github.com/26zl/cybersec-toolkit