Comprehensive C2 Analysis and Anomaly Detection in HTTP Traffic: A MongoDB-Based Approach

In the evolving cybersecurity landscape, targeted attacks by sophisticated adversaries pose a significant challenge. These attackers aim to steal high-level employees’ system privileges, enabling unauthorized access to crucial information. Traditional security measures often fall short against these advanced threats. Real Intelligence Threat Analytics (RITA) is a proactive solution that uses network traffic analysis to detect malicious activities. This project aims to enhance RITA by incorporating advanced techniques like Command and Control (C2) and Transport Layer Security (TLS) fingerprinting. These methods analyze communication patterns and cryptographic handshake parameters, respectively, to detect covert channels used by attackers and distinguish between legitimate and malicious encrypted communication. This approach strengthens cybersecurity defenses, ensuring organizations have a resilient mechanism to counter modern cyber threats and protect sensitive information.