Individual skill
detecting-dnp3-protocol-anomalies
Detect anomalies in DNP3 communications used in SCADA/ICS systems by monitoring unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic using deep packet inspection and machine learning approaches. Use when securing energy-sector or other OT/ICS networks, investigating suspicious DNP3 master/outstation activity, or building an anomaly-based IDS for industrial control traffic.
skills/detecting-dnp3-protocol-anomalies/SKILL.md
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- Last checked
- Nov 9, 2026
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- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- ot-security Declared skill tag
- ics Declared skill tag
- dnp3 Declared skill tag
- scada Declared skill tag
- anomaly-detection Declared skill tag
- protocol-analysis Declared skill tag
- energy-sector Declared skill tag
- ids Declared skill tag
- security Derived category
- education Derived category
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# Detecting DNP3 Protocol Anomalies
## When to Use
- When monitoring SCADA systems in the energy sector where DNP3 is the primary protocol
- When building detection rules for DNP3-based attacks against RTUs and substations
- When investigating suspected unauthorized control commands sent via DNP3
- When deploying IDS with DNP3 deep packet inspection at utility substations
- When responding to alerts from OT monitoring platforms about DNP3 traffic anomalies
**Do not use** for non-DNP3 protocol monitoring (see detecting-modbus-command-injection-attacks for Modbus), for DNP3 Secure Authentication configuration (separate implementation), or for protocol-agnostic network anomaly detection.
## Prerequisites
