Data

Experiment Data for MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation

Also known as: MoonLight Experiment Data
The Australian National University
Gunadi, Hendra ; Herrera, Adrian
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25911/5c92feecbf225&rft.title=Experiment Data for MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation&rft.identifier=10.25911/5c92feecbf225&rft.publisher=The Australian National University Data Commons&rft.description=Experiment data for MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation. This includes the statistic, queue and crashes for each individual fuzzers. There are 7 targets (Poppler - PDF, SoX - MP3, SoX - WAV, librsvg - SVG, libtiff - TIFF, FreeType - TTF, and libxml2 - XML), 30 experiments each, comparing against 6 approaches (empty, full, afl-cmin, moonlight-U, moonlight-S, moonlight-T)&rft.creator=Gunadi, Hendra &rft.creator=Herrera, Adrian &rft.date=2019&rft_rights=Creative Commons Licence (CC BY) is assigned to this data. Details of the licence can be found at http://creativecommons.org.au/licences.&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_subject=Computer System Security&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=COMPUTER SOFTWARE&rft_subject=fuzzing&rft_subject=corpus distillation&rft.type=dataset&rft.language=English Access the data
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CC-BY

http://creativecommons.org/licenses/by/4.0/

Creative Commons Licence (CC BY) is assigned to this data. Details of the licence can be found at http://creativecommons.org.au/licences.

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Contact Information

Postal Address:
The Australian National University, College of Engineering and Computer Science, CSIT Building, 108 North Rd, Acton, ACT, Australia

hendra.gunadi@anu.edu.au
adrian.herrera@anu.edu.au
antony.hosking@anu.edu.au

Full description

Experiment data for MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation. This includes the statistic, queue and crashes for each individual fuzzers. There are 7 targets (Poppler - PDF, SoX - MP3, SoX - WAV, librsvg - SVG, libtiff - TIFF, FreeType - TTF, and libxml2 - XML), 30 experiments each, comparing against 6 approaches (empty, full, afl-cmin, moonlight-U, moonlight-S, moonlight-T)

Notes

1278 files.
39.5 GB.

Created: 2018

Data time period: 2018

This dataset is part of a larger collection

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Subjects
Computer Software | Computer System Security | Information and Computing Sciences | corpus distillation | fuzzing |

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