FuzzBench: 2024-08-03-test report

experiment summary

No aggregate ranking as the data contains a single benchmark.
  • Median relative code-coverages on each benchmark

    Note: The relative coverage summary table shows the median relative performance of each fuzzer to the experiment maximum. Thus the highest relative performance may not be 100%.
    trial_relative_coverage = trial_coverage / experiment_max_coverage

      aflplusplus honggfuzz libafl libfuzzer afl aflfast aflsmart eclipser mopt centipede fairfuzz
    FuzzerMedian 99.00 99.00 99.00 98.00 97.00 97.00 97.00 97.00 97.00 93.00 89.00
    FuzzerMean 99.00 99.00 99.00 98.00 97.00 97.00 97.00 97.00 97.00 93.00 89.00
    libxml2_xml 99.00 99.00 99.00 98.00 97.00 97.00 97.00 97.00 97.00 93.00 89.00
    • Fuzzers are sorted by "FuzzerMean" (average median relative coverage), highest on the left.
    • Green background = highest relative median coverage.
    • Blue gradient background = greater than 95% relative median coverage.

libxml2_xml summary

Ranking by median reached code coverage
Reached code coverage distribution
Mean code coverage growth over time
Mean code coverage growth over time
* The error bands show the 95% confidence interval around the mean code coverage.
error
The following fuzzers do not have enough samples: aflplusplus, libafl.
  • Sample statistics and statistical significance (code coverage)
    Code coverage sample statistics
    count mean std min 25% median 75% max
    fuzzer time
    aflplusplus 82800 6.0 15677.666667 38.302306 15634.0 15654.00 15671.0 15693.25 15741.0
    libafl 82800 5.0 15346.200000 622.632074 14234.0 15570.00 15625.0 15645.00 15657.0
    honggfuzz 82800 20.0 15608.150000 38.615888 15543.0 15576.00 15609.0 15640.25 15667.0
    libfuzzer 82800 20.0 15420.950000 77.287893 15282.0 15367.75 15428.0 15486.25 15526.0
    afl 82800 20.0 15347.200000 89.603571 15166.0 15322.50 15386.0 15404.25 15445.0
    eclipser 82800 17.0 15366.176471 70.190130 15247.0 15310.00 15373.0 15407.00 15477.0
    aflsmart 82800 20.0 15356.900000 64.464515 15142.0 15341.50 15371.0 15390.50 15431.0
    mopt 82800 20.0 15336.600000 74.989403 15154.0 15311.25 15343.0 15360.00 15510.0
    aflfast 82800 20.0 15282.950000 77.642551 15097.0 15249.50 15282.5 15340.75 15388.0
    centipede 82800 20.0 14733.700000 151.201539 14403.0 14652.50 14736.5 14818.00 15097.0
    fairfuzz 82800 19.0 14034.842105 437.228934 12545.0 13923.00 14065.0 14210.00 14843.0

    Vargha-Delaney A12 measure
    The table summarizes the A12 values from the pairwise Vargha-Delaney A measure of effect size. Green cells indicate the probability the fuzzer in the row will outperform the fuzzer in the column.
    Mann-Whitney U test
    The table summarizes the p values of pairwise Mann-Whitney U tests. Green cells indicate that the reached coverage distribution of a given fuzzer pair is significantly different.
  • Unique code coverage plots
    Ranking by unique code branches covered
    Each bar shows the total number of code branches found by a given fuzzer. The colored area shows the number of unique code branches (i.e., branches that were not covered by any other fuzzers).
    Pairwise unique code coverage
    Each cell represents the number of code branches covered by the fuzzer of the column but not by the fuzzer of the row

experiment data

You can download the raw data for this report here.

Check out the documentation on how to create customized reports using this data. Also see some example Colab notebooks for doing custom analysis on the data here.

Experiment Description:

(None,)