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· 2018

Angora: Efficient Fuzzing by Principled Search

Peng Chen, Hao Chen

Short summary

Angora, a new mutation-based fuzzer, significantly outperforms state-of-the-art tools by solving path constraints without symbolic execution, achieving 8x more bugs than the second-best fuzzer on the LAVA-M dataset.

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Field: Software

SoftwareComputer Science