VectorSmuggle: Covertly Exfiltrate Data in Embeddings

VectorSmuggle "The smuggle is real!" A comprehensive proof-of-concept demonstrating sophisticated vector-based data exfiltration techniques in AI/ML environments. This educational security research project illustrates potential risks in RAG systems and provides tools for defensive analysis. 📋 Overview VectorSmuggle demonstrates advanced techniques for covert data exfiltration through vector embeddings, showcasing how sensitive information can be hidden within seemingly legitimate RAG operations. This research tool helps security professionals understand and defend against novel attack vectors in AI/ML systems. Key Features 🎭 Steganographic Techniques : Advanced embedding obfuscation and data hiding : Advanced embedding obfuscation and data hiding 📄 Multi-Format Support : Process 15+ document formats (PDF, Office, email, databases) : Process 15+ document formats (PDF, Office, email, databases) 🕵️ Evasion Capabilities : Behavioral camouflage and detection avoidance : Behavioral ... Read full article.