The Impact of Magma: A Ground-Truth Fuzzing Benchmark
Ahmad Hazimeh, Adrian Herrera, Srividya Subramanian, Thaqiya Aman, Sara Vaccino, Qiang Liu, Mathias Payer
Abstract
Magma is an open-source and ground-truth fuzzing benchmark that enables uniform fuzzer evaluation and comparison. Magma was originally released with a research paper published at ACM SIGMETRICS 2021. This short paper explains the motivation, the design, and the impact of Magma, with a description of extensions to the original benchmark.
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