Finding instrumentable locations for fuzzing via static binary analysis

• Main Author: Ng, Li Jie
• Other Authors: Liu Yang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/156709
• Institution: Nanyang Technological University

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...