Finding instrumentable locations for fuzzing via static binary analysis
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...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156709 |
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| Institution: | Nanyang Technological University |
| Language: | English |