Individual skill
detecting-stuxnet-style-attacks
This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.
internal/tools/skills/data/ot-ics-security/detecting-stuxnet-style-attacks/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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- 1,319
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- ot-security Declared skill tag
- ics Declared skill tag
- scada Declared skill tag
- industrial-control Declared skill tag
- iec62443 Declared skill tag
- stuxnet Declared skill tag
- plc-integrity Declared skill tag
- apt Declared skill tag
- engineering Derived category
- operations Derived category
- security Derived category
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# Detecting Stuxnet-Style Attacks
## When to Use
- When implementing advanced threat detection for high-value OT targets (nuclear, chemical, critical infrastructure)
- When building detection for APT-style attacks targeting PLC logic and process manipulation
- When establishing PLC logic integrity monitoring to detect unauthorized modifications
- When investigating suspected process anomalies that may indicate cyber-physical attacks
- When designing defense-in-depth strategies against nation-state level OT threats
**Do not use** for basic OT intrusion detection (see detecting-attacks-on-scada-systems), for malware analysis of Stuxnet samples (see malware reverse engineering skills), or for PLC programming and logic development.
## Detection Gaps & Validation
