gauravdkolhe/apk-threat-intelligence-platform

# AI-Powered Collaborative APK Threat Intelligence and C2 Detection Platform ## Overview The AI-Powered Collaborative APK Threat Intelligence and C2 Detection Platform is an advanced cybersecurity and digital forensics solution designed to analyze Android APK files, identify malicious behaviors, detect Command and Control (C2) infrastructure, and assist investigators through collaborative threat intelligence and AI-driven investigation analytics. # Key Features - Automated APK Static Analysis - Suspicious Permission Detection - API & String Extraction - Command & Control (C2) Detection - AI-Based Threat Scoring - Malware Similarity Analysis - Community Threat Feedback - Threat Intelligence Correlation - Authority Investigation Dashboard - Malware Trend Monitoring - Threat Graph Visualization - AI-Generated Forensic Summaries # Problem Statement Android malware, banking trojans, spyware, and malicious APKs are rapidly increasing across digital ecosystems. Existing antivirus systems often fail to detect newly emerging or behaviorally similar threats, while investigators lack centralized threat intelligence and collaborative malware correlation systems. This project aims to create a collaborative cyber threat intelligence ecosystem capable of detecting suspicious Android applications, identifying malicious infrastructure, correlating related threats, and assisting law enforcement agencies with actionable forensic insights. # Proposed Solution The platform enables users and investigators to upload APK files for automated analysis. The system extracts permissions, APIs, URLs, IP addresses, certificate signatures, and behavioral indicators associated with malicious activities. Suspicious applications are assigned AI-generated threat scores and securely added to a centralized threat intelligence repository. Similarity analysis identifies relationships between APKs using behavioral fingerprints, network indicators, certificates, and code similarities. The platform also provides an authority-focused investigation dashboard that visualizes malware trends, linked APK clusters, increasing threat cases, regional activity patterns, and recurring C2 infrastructure. # System Workflow APK Upload ↓ Static Analysis ↓ Permission & API Extraction ↓ IOC & C2 Detection ↓ AI Threat Scoring ↓ Threat Intelligence Correlation ↓ Community Risk Feedback ↓ Authority Investigation Dashboard # Technologies ## Frontend - React.js - TailwindCSS - Chart.js / Recharts ## Backend - Python - FastAPI ## Database - MongoDB ## APK Analysis Tools - JADX - APKTool ## Visualization - Cytoscape.js - D3.js ## AI/ML - Scikit-learn - Threat Scoring Models # Future Scope - Dynamic APK Sandboxing - Real-Time Threat Feeds - Nationwide Threat Heatmaps - AI Malware Family Classification - ATT&CK Framework Mapping - Automated IOC Sharing - Threat Alert Notifications # Project Impact The proposed system transforms isolated malware scans into a collaborative cyber threat intelligence platform capable of assisting cybersecurity analysts, digital forensic teams, and law enforcement agencies in identifying and investigating Android-based cyber threats more efficiently. # Team Packet Sniffers -Cidecode Hackathon Project