ThreatEdge: Enterprise-Grade Malware Analysis and Real-Time Threat intelligence Platform

This paper presented ThreatEdge, an enterprise-grade full-stack cybersecurity platform integrating automated malware analysis, multi-source threat intelligence aggregation, and real-time C2 infrastructure monitoring into a production-viable, containerized system. The platform demonstrates that open-source technologies — FastAPI, React 19, MongoDB, CAPE Sandbox, and YARA — can be composed into a coherent and powerful malware analysis solution accessible to secu-rity teams without requiring expensive commercial endpoint detection platforms. Experimental evaluation validated that YARA-based static analysis combined with CAPE Sandbox behavioral analysis achieves an overall threat detection recall of 97.2% across diverse malware families, and that automated multi-phase anal-ysis pipelines reduce mean time-to-verdict by an average of 73% compared to manual triage workflows. The asynchronous FastAPI backend sustains concurrent multi-submission pro-cessing with a 99th percentile API response latency of 420 milliseconds, ensuring analysts receive immediate submission acknowledgment with minimal delay. The decoupled microservices architecture provides a solid extensibility foundation for planned development phases that will progressively add ML-based malware classification, auto-mated threat hunting, MITRE ATT&CK TTP mapping, NLP-based analyst query interfaces, and cloud-native enterprise deployment capabilities. ThreatEdge’s trajectory is toward a comprehensive AI-driven threat intelligence platform that closes the capability gap between open-source security tools and expensive commercial SIEM and EDR platforms, democ-ratizing advanced malware analysis for security teams of all sizes.

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