Dissecting american fuzzy lop - A fuzzbench evaluation - RCR report

Fioraldi, Andrea; Mantovani, Alessandro; Maier, Dominik; Balzarotti, Davide
ACM Transactions on Software Engineering and Methodology, 27 February 2023

This report describes the artifacts of the “Dissecting American Fuzzy Lop – A FuzzBench Evaluation” paper. The artifacts are available online at https://github.com/eurecom-s3/dissecting_afl and archived at https://doi.org/10.6084/m9.figshare.21401280 and consists in the produced code, the setup to run the experiments in FuzzBench and the generated reports. We claim the Functional badge as the patches to AFL are easy to enable and the experiments are easy to run thanks to the FuzzBench service, but the evaluations are self contained and the modifications to AFL are as-is. For the purpose of reproducing the experiments, no particular skills are needed as the process is straightforward and described in https://google.github.io/fuzzbench/getting-started/adding-a-new-fuzzer/….


DOI
Type:
Journal
Date:
2023-02-27
Department:
Sécurité numérique
Eurecom Ref:
7226
Copyright:
© ACM, 2023. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Software Engineering and Methodology, 27 February 2023 https://doi.org/10.1145/3580600

PERMALINK : https://www.eurecom.fr/publication/7226