FuzzBench: 2024-05-20-new-bug-libpcap 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

      libfuzzer aflplusplus afl libafl honggfuzz
    FuzzerMedian 98.00 96.00 93.00 93.00 92.00
    FuzzerMean 98.00 96.00 93.00 93.00 92.00
    libpcap_fuzz_filter_98b0a2 98.00 96.00 93.00 93.00 92.00
    • 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.
  • Median relative bug-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

      afl aflplusplus honggfuzz libafl libfuzzer
    FuzzerMedian 0.00 0.00 0.00 0.00 0.00
    FuzzerMean 0.00 0.00 0.00 0.00 0.00
    libpcap_fuzz_filter_98b0a2 0.00 0.00 0.00 0.00 0.00
    • 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.
  • Total unique bugs found on each benchmark
      afl aflplusplus honggfuzz libafl libfuzzer Total
    FuzzerSum 0 0 0 0 0 0
    libpcap_fuzz_filter_98b0a2 0 0 0 0 0 0
    • Fuzzers are sorted by "FuzzerSum", highest on the left.
    • Green background = most unique bugs found.
    • *note: This table represents unique bugs found across all trials.

libpcap_fuzz_filter_98b0a2 summary

Discovered bug coverage distribution
Reached code coverage distribution
Mean code coverage growth over time
Mean code coverage growth over time
Mean bug coverage growth over time
Mean bug coverage growth over time
* The error bands show the 95% confidence interval around the mean code coverage.
  • Sample statistics and statistical significance (bugs covered)
    Bug coverage sample statistics
    count mean std min 25% median 75% max
    fuzzer time
    afl 82800 20.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
    aflplusplus 82800 20.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
    honggfuzz 82800 20.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
    libafl 82800 20.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
    libfuzzer 82800 20.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

    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.
  • Sample statistics and statistical significance (code coverage)
    Code coverage sample statistics
    count mean std min 25% median 75% max
    fuzzer time
    libfuzzer 82800 20.0 3419.55 109.197780 3213.0 3325.0 3475.0 3501.00 3542.0
    aflplusplus 82800 20.0 3423.65 78.064936 3319.0 3358.0 3411.0 3500.25 3517.0
    libafl 82800 20.0 3305.90 45.428834 3169.0 3304.0 3314.5 3334.25 3351.0
    afl 82800 20.0 3313.45 33.306353 3229.0 3293.0 3310.5 3341.00 3361.0
    honggfuzz 82800 20.0 3268.85 44.204400 3121.0 3251.5 3267.5 3294.00 3337.0

    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,)