analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis…
Skill by RobotFlow-Labs
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/robotflow-labs-analyzing-android-malware-with-apktool
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend
Reviews
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What's inside
- Skill 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 inspection, and suspicious API call detection.
- License
- Apache-2.0
- Instructions
- 30 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# 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. ## 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
From RobotFlow-Labs/skills-repo, Apache-2.0.
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No description from the publisher yet.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 1, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/RobotFlow-Labs/skills-repo
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
analyzing-android-malware-with-apktool skill. Agent Mart. https://agentmart.dev/skills/robotflow-labs-analyzing-android-malware-with-apktool (last updated 2026-10-24)