This study presents a practical methodology for executing Man-in-the-Middle (MitM) attacks on industrial control systems that utilize PROFINET I/O—a communication layer that remains largely underexplored in ICS cybersecurity research. A hybrid digital-twin-based testbed is developed by integrating Siemens S7-1500 and S7-1200 PLCs with a process replica implemented in PCSimu, together with a malicious application that modifies specific process data before it is delivered through the PROFINET I/O channel, enabling controlled falsification of process information in real time. The attacker operates through a Modbus TCP control channel while injecting the manipulated values into the 40-byte Real-Time Class 1 (RTC1) cyclic process-data payload while preserving frame integrity and protocol-level validity indicators. Experimental results show that SDU-level modifications on the 2-ms RTC1 cycle produced deterministic and fully reproducible effects on PLC-level behavior, including forced actuator confirmations and falsified process states, demonstrating the feasibility of both DI- and DO-level manipulation scenarios. Network captures and MSSQL-based event logs provide bit-level correlation between the injected SDU modifications and their impact on the automation sequence, confirming the reliability of the proposed manipulation mechanism. The testbed also supports the systematic generation of labeled datasets for training and evaluating machine-learning-based intrusion and anomaly-detection methods, and offers direct applicability to research, education, and operator-training activities in industrial cybersecurity. Overall, the proposed platform offers a secure, reproducible, and practically applicable environment for vulnerability assessment, attack simulation, and the development of detection techniques in industrial PROFINET networks.
Martín-Fraile et al. (Fri,) studied this question.