What problem does it solve?
Sophisticated attacks on industrial control systems can modify PLC logic while spoofing sensor readings, making manipulation invisible to operators and conventional network monitoring. This Skill provides detection methods for these Stuxnet-style cyber-physical attacks across the full attack chain.
Core Features & Use Cases
- PLC Logic Integrity Monitoring: Compares running PLC program blocks (OB, FC, FB, DB) against known-good baselines to detect injected, removed, or modified logic.
- Physics-Based Anomaly Detection: Cross-validates independent measurements such as VFD frequency vs RPM, power vs speed, and vibration signatures to expose spoofed sensor values.
- Attack Chain Coverage: Maps detection points across USB-borne initial access, lateral movement, engineering workstation compromise, PLC logic modification, and process manipulation using MITRE ATT&CK for ICS techniques.
- Use Case: A security team protecting a critical infrastructure facility uses the integrity monitor to flag a new unauthorized function block in a Siemens PLC, then confirms process manipulation when power consumption contradicts the reported RPM.
Quick Start
Ask the AI to build a PLC logic integrity baseline comparison and physics-based anomaly detection plan for your Siemens S7 environment following the Stuxnet attack chain.
