ICSFuzz: Manipulating I/Os and Repurposing Binary Code to Enable Instrumented Fuzzing in ICS Control Applications
Dimitrios Tychalas, Hadjer Benkraouda, Michail Maniatakos
摘要
Industrial Control Systems (ICS) have seen a rapid proliferation in the last decade amplified by the advent of the 4th Industrial Revolution. At the same time, several notable cybersecurity incidents in industrial environments have underlined the lack of depth in security evaluation of industrial devices such as Programmable Logic Controllers (PLC). Modern PLCs are based on widely used microprocessors and deploy commodity operating systems (e.g., ARM on Linux). Thus, threats from the information technology domain can be readily ported to industrial environments. PLC application binaries in particular have never been considered as regular programs able to introduce traditional security threats, such as buffer overflows. In this work, we investigate the feasibility of exploiting PLC binaries as well as their surrounding PLC-specific environment. We examine binaries produced by all available IEC 61131-3 control system programming languages for compilation-based differences and introduced vulnerabilities. Driven by this analysis, we develop a fuzzing framework to perform security evaluation of the PLC binaries along with the host functions they interact with. Fuzzing such non-executable binaries is non-trivial, as they operate with real-time constraints and receive their inputs from peripherals. To prove the correctness of our fuzzing tool, we use a database of in-house developed binaries in addition to functional control applications collected from online repositories. We showcase the efficacy of our technique by demonstrating uncovered vulnerabilities in both control application binaries and their runtime system. Furthermore, we demonstrate an exploitation methodology for an in-house as well as a regular control binary, based on the uncovered vulnerabilities.
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引用它的顶会 Paper5
- Collapse Like A House of Cards: Hacking Building Automation System Through FuzzingYue Zhang, Zhen Ling, Michael Cash, Qiguang Zhang 等CCS 2024 · 被引用 3 次
- Discovering Blind-Trust Vulnerabilities in PLC Binaries via State Machine RecoveryFangzhou Dong, Arvind S. Raj, Efrén López-Morales, Siyu Liu 等NDSS 2026 · 被引用 1 次
- ICSPatch: Automated Vulnerability Localization and Non-Intrusive Hotpatching in Industrial Control Systems using Data Dependence GraphsPrashant Hari Narayan Rajput, Constantine Doumanidis, Michail ManiatakosUSENIX Security 2023
- ICSQuartz: Scan Cycle-Aware and Vendor-Agnostic Fuzzing for Industrial Control SystemsCorban Villa, Constantine Doumanidis, Hithem Lamri, Prashant Hari Narayan Rajput 等NDSS 2025
- You Can't Judge a Binary by Its Header: Data-Code Separation for Non-Standard ARM Binaries Using Pseudo LabelsHadjer Benkraouda, Nirav Diwan, Gang WangS&P 2025
它引用的顶会 Paper6
- Limiting the Impact of Stealthy Attacks on Industrial Control SystemsDavid I. Urbina, Jairo Alonso Giraldo, Alvaro A. Cárdenas, Nils Ole Tippenhauer 等CCS 2016 · 被引用 351 次
- FIRM-AFL: High-Throughput Greybox Fuzzing of IoT Firmware via Augmented Process EmulationYaowen Zheng, Ali Davanian, Heng Yin, Chengyu Song 等USENIX Security 2019 · 被引用 279 次
- Hey, My Malware Knows Physics! Attacking PLCs with Physical Model Aware RootkitLuis Garcia, Ferdinand Brasser, Mehmet Hazar Cintuglu, Ahmad-Reza Sadeghi 等NDSS 2017 · 被引用 205 次
- RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided TestingTaegyu Kim, Chung Hwan Kim, Junghwan Rhee, Fan Fei 等USENIX Security 2019 · 被引用 92 次
- ICSREF: A Framework for Automated Reverse Engineering of Industrial Control Systems BinariesAnastasis Keliris, Michail ManiatakosNDSS 2019 · 被引用 90 次
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