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Firmware security analysis of an Industrial Control System
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).
2021 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Internet of Things (IoT) devices are becoming more and more popular. However, because the focus during this rise has not been on security they have become a huge attack surface. The purpose of IoT is that devices are interconnected and communicate with each other over the internet. This is especially problematic if these devices control important aspects of our lives such as: air conditioning, heating, water and other machinery. This report is meant to investigate one of these systems, called OPTOEMU-SNR-DR2 (abbreviated as Opto22 in this report), and document potential security flaws. We have analyzed the system from multiple perspectives regarding firmware: hardware (PCB, electronics), software (programs running on the device), and supporting software that is used with the Opto22. Our investigation resulted in multiple security flaws being found, in the context of an attacker having access to the network the device is located on. 

Abstract [sv]

Internet of Things (IoT) har blivit mer och mer populärt, men detta utgör även en säkerhetsrisk då säkerhet inte varit fokus under utveckling. Syftet med IoT är att enheter är sammankopplade och kommunicerar med varandra över internet. Det är särskilt problematiskt om dessa enheter styr viktiga saker såsom ventilation, värme, vatten och annat maskineri. Den här rapporten har i syfte att undersöka ett sådant system som heter OPTOEMU-SNR-DR2 (förkortat Opto22 i rapporten) och dokumentera eventuella säkerhetsbrister. Vi har analyserat systemet utifrån flera perspektiv kring den inbyggda mjukvara: hårdvara (kretskort, elektronik), mjukvara (programvaran som körs på enheten) och andra stödprogram som används i samband med enheten. Vår undersökning resulterade i att flera potentiella svagheter hittades som utgår ifrån att en angripare har tillgång till nätverket enheten är placerad på.

Place, publisher, year, edition, pages
2021. , p. 29
Series
TRITA-EECS-EX ; 2021:452
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-302374OAI: oai:DiVA.org:kth-302374DiVA, id: diva2:1596061
Subject / course
Computer Science
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2021-09-22 Created: 2021-09-21 Last updated: 2022-06-25Bibliographically approved

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CiteExportLink to record
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Citation style
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