Ai Malware analyzer

Shadow-v2 is a revolutionary AI-powered malware analysis platform enhanced with quantum computing capabilities, designed to address the critical detection gap in modern cybersecurity. As AI models like Deepseek R1T2 Chimaera generate sophisticated, zero-day-level malware that evades traditional detection methods, our system provides a comprehensive solution through multi-layered analysis. Quantum Computing Layer (Our Innovation): Quantum Machine Learning: Hybrid quantum-classical neural networks using PennyLane and Qiskit frameworks for malware family classification with superior pattern recognition capabilities Post-Quantum Cryptography Detection: Identifies quantum-resistant algorithms (CRYSTALS-Kyber, Dilithium, SPHINCS+) used by advanced persistent threats Quantum Random Number Generation Analysis: Statistical tests to detect QRNG-seeded polymorphic behaviour and unpredictable C2 communication patterns Quantum Annealing Deobfuscation: D-Wave integration for solving optimisation problems in reverse-engineering obfuscated malware Quantum-Safe Signature Generation: Lattice-based hashing for creating future-proof YARA rules resistant to quantum cryptanalysis As quantum computers become mainstream, threat actors will leverage quantum algorithms for cryptanalysis and evasion. Shadow-v2 positions the security community ahead of this curve with practical quantum-enhanced detection, automated quantum-safe signature generation, and research capabilities for studying emerging quantum-era threats. Our platform bridges classical cybersecurity with quantum computing, creating a resilient defence system for tomorrow's threat landscape.