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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - SimaticScan
T2 - towards a specialised vulnerability scanner for industrial control systems
AU - Antrobus, Rob
AU - Frey, Sylvain
AU - Green, Benjamin
AU - Rashid, Awais
PY - 2016/8/23
Y1 - 2016/8/23
N2 - Over the years, modern Industrial Control Systems (ICS) have become widely computerised and connected via the Internet and are, therefore, potentially vulnerable to cyber attacks. Currently there is a lack of vulnerability scanners specialised to ICS settings. Systems such as PLCScan and ModScan output pertinent information from a Programmable Logic Controller (PLC). However, they do not offer any information as to how vulnerable a PLC is to an attack. In this paper, we address these limitations and propose SimaticScan, a vulnerability scanner specialised to Siemens SIMATIC PLCs. Through experimentation in a comprehensive water treatment testbed, we demonstrate SimaticScan’s effectiveness in determining a range of vulnerabilities across three distinct PLCs, including a previously unknown vulnerability in one of the PLCs. Our experiments also show that SimaticScan outperforms the widely used Nessus vulnerability scanner (with relevant ICS-specific plugins deployed).
AB - Over the years, modern Industrial Control Systems (ICS) have become widely computerised and connected via the Internet and are, therefore, potentially vulnerable to cyber attacks. Currently there is a lack of vulnerability scanners specialised to ICS settings. Systems such as PLCScan and ModScan output pertinent information from a Programmable Logic Controller (PLC). However, they do not offer any information as to how vulnerable a PLC is to an attack. In this paper, we address these limitations and propose SimaticScan, a vulnerability scanner specialised to Siemens SIMATIC PLCs. Through experimentation in a comprehensive water treatment testbed, we demonstrate SimaticScan’s effectiveness in determining a range of vulnerabilities across three distinct PLCs, including a previously unknown vulnerability in one of the PLCs. Our experiments also show that SimaticScan outperforms the widely used Nessus vulnerability scanner (with relevant ICS-specific plugins deployed).
U2 - 10.14236/ewic/ICS2016.2
DO - 10.14236/ewic/ICS2016.2
M3 - Conference contribution/Paper
BT - Proceedings 4th International Symposium for ICS & SCADA Cyber Security Research
PB - BCS
ER -