Finding instrumentable locations for fuzzing via static binary analysis

• المؤلف الرئيسي: Ng, Li Jie
• مؤلفون آخرون: Liu Yang
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156709

The Cyber Security Lab (CSL) of Nanyang Technological University (NTU) has developed a fuzzer designed for binary-only targets across multiple architecture. The fuzzer employs an approach known as Steelix to solve the limited code penetration and effectiveness of some existing fuzzers. However...