⚠️ Disclaimer:
This repository contains a project description only.
The actual code is confidential and proprietary.
Contact for demo access or professional consulting engagements.
The Android Malware Analysis Toolkit is a comprehensive framework for analyzing Android APK files, leveraging both static and dynamic analysis techniques.
It streamlines malware analysis by combining signature-based detection, behavioral analysis, and real-time API monitoring.
Designed for security researchers, malware analysts, and DFIR teams, this toolkit accelerates the Android malware investigation process.
- 📂 Static Analysis: Disassemble APKs, extract permissions, and detect suspicious code patterns.
- 🔬 Dynamic Analysis: Run apps in sandboxed emulators with Frida hooks to monitor runtime behavior.
- 🔗 VirusTotal API Integration: Automated reputation checks against public threat intelligence.
- 📊 Report Generation: Summarizes findings with risk scores and recommended actions.
- 🛡️ Obfuscation Detection: Identifies packed or encrypted APKs.
| Scenario | Description |
|---|---|
| Malware Research | Analyze new or unknown Android malware samples. |
| Incident Response | Investigate suspicious Android apps during incidents. |
| Security Operations | Automate APK scanning in enterprise environments. |
| Academic Research | Android app security analysis for educational purposes. |
- Python 3.x
- APKTool & JADX (for disassembly)
- Frida (dynamic instrumentation)
- VirusTotal API
- ADB & Android Emulator
- Custom static analysis modules
The toolkit contains advanced malware analysis modules, Frida hook scripts, and proprietary detection logic that could be misused for malicious purposes.
Access is limited to qualified cybersecurity professionals.
Need malware analysis or reverse engineering services?
→ Contact Muhammad Usama for professional assistance.