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Quantitatively Assessing and Visualising Industrial System Attack Surfaces

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Contents<br />

1 Introduction 9<br />

1.1 Goals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9<br />

1.2 <strong>Industrial</strong> Automation History . . . . . . . . . . . . . . . . . . . . . . . . . 10<br />

1.2.1 Incidents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11<br />

1.2.2 NERC CIP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15<br />

2 Methodology 17<br />

2.1 Technology stack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18<br />

2.2 Rules of Engagement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18<br />

2.3 Device <strong>and</strong> <strong>System</strong> classification . . . . . . . . . . . . . . . . . . . . . . . . 19<br />

2.3.1 Devices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19<br />

2.3.2 <strong>System</strong>s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20<br />

2.4 Banners <strong>and</strong> Shodan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22<br />

2.4.1 Banners . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23<br />

2.5 Adding exploit information <strong>and</strong> geolocation . . . . . . . . . . . . . . . . . 23<br />

2.5.1 Exploit searches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23<br />

2.5.2 Geolocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27<br />

3 Exploring the Dataset 31<br />

3.1 Global inferences should not be made . . . . . . . . . . . . . . . . . . . . . 31<br />

3.2 Internal inferences provide some insight into the industry . . . . . . . . . . 32<br />

3.3 HTTP Response Codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32<br />

3.4 Disambiguation <strong>and</strong> false positives . . . . . . . . . . . . . . . . . . . . . . 35<br />

3.4.1 Geolocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

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