ICS3Fuzzer: A Framework for Discovering Protocol Implementation Bugs in ICS Supervisory Software by Fuzzing

Dongliang Fang, Zhanwei Song, Le Guan, Puzhuo Liu, Anni Peng, Kai Cheng, Yaowen Zheng, Peng Liu, Hongsong Zhu, Limin Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The supervisory software is widely used in industrial control systems (ICSs) to manage field devices such as PLC controllers. Once compromised, it could be misused to control or manipulate these physical devices maliciously, endangering manufacturing process or even human lives. Therefore, extensive security testing of supervisory software is crucial for the safe operation of ICS. However, fuzzing ICS supervisory software is challenging due to the prevalent use of proprietary protocols. Without the knowledge of the program states and packet formats, it is difficult to enter the deep states for effective fuzzing. In this work, we present a fuzzing framework to automatically discover implementation bugs residing in the communication protocols between the supervisory software and the field devices. To avoid heavy human efforts in reverse-engineering the proprietary protocols, the proposed approach constructs a state-book based on the readily-available execution trace of the supervisory software and the corresponding inputs. Then, we propose a state selection algorithm to find the protocol states that are more likely to have bugs. Our fuzzer distributes more budget on those interesting states. To quickly reach the interesting states, traditional snapshot-based method does not work since the communication protocols are time sensitive. We address this issue by synchronously managing external events (GUI operations and network traffic) during the fuzzing loop. We have implemented a prototype and used it to fuzz the supervisory software of four popular ICS platforms. We have found 13 bugs and received 3 CVEs, 2 are classified as critical (CVSS3.x score CRITICAL 9.8) and affected 40 different products.

Original languageEnglish (US)
Title of host publicationProceedings - 37th Annual Computer Security Applications Conference, ACSAC 2021
PublisherAssociation for Computing Machinery
Pages849-860
Number of pages12
ISBN (Electronic)9781450385794
DOIs
StatePublished - Dec 6 2021
Event37th Annual Computer Security Applications Conference, ACSAC 2021 - Virtual, Online, United States
Duration: Dec 6 2021Dec 10 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference37th Annual Computer Security Applications Conference, ACSAC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period12/6/2112/10/21

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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