Automated IoT Binary Patching
Abstract
Low-cost Internet of Things (IoT) devices are increasingly popular but often insecure due to poor update regimes. As a result, many devices run outdated and knownvulnerable versions of open-source software. We address this problem by proposing to patch IoT firmware at the binary level, without requiring vendor support. In particular, we introduce minimally invasive local reassembly, a new technique for automatically patching known (n-day) vulnerabilities in IoT firmware. Our approach is designed to minimize side effects and reduce the risk of introducing breaking changes. We systematically evaluate our approach both on 14 vulnerabilities within the controlled environment of the MAGMA benchmarks, as well as on 30 real-world Linux-based IoT firmware images from the KARONTE dataset. Our prototype successfully patches 76% of targeted vulnerabilities in MAGMA and 96% in the firmware dataset.