FuzzBench: 2024-09-12-dgfuzz report

experiment summary

We show two different aggregate (cross-benchmark) rankings of fuzzers. The first is based on the average of per-benchmarks scores, where the score represents the percentage of the highest reached median code-coverage on a given benchmark (higher value is better). The second ranking shows the average rank of fuzzers, after we rank them on each benchmark according to their median reached code-covereges (lower value is better).

By avg. score

	average normalized score
fuzzer
aflplusplus	94.06
eclipser	88.40
dgfuzz_32d973	85.74
dgfuzz_1d7283	82.59
mopt	74.26
aflsmart	72.99
fairfuzz	72.93
aflfast	70.78
centipede	69.89
libafl	48.68
honggfuzz	11.90
libfuzzer	11.43
afl	11.28

By avg. rank

	average rank
fuzzer
aflplusplus	2.38
dgfuzz_32d973	3.00
dgfuzz_1d7283	4.12
eclipser	5.12
aflsmart	5.75
mopt	5.75
fairfuzz	6.50
libafl	7.12
aflfast	7.88
centipede	8.00
honggfuzz	9.38
libfuzzer	9.62
afl	9.88

Critical difference diagram

The diagram visualizes the average rank of fuzzers (second ranking above) while showing the significance of the differences as well. What is considered a "critical difference" (CD) is based on the Friedman/Nemenyi post-hoc test. See more in the documentation.

Note: If a fuzzer does not support all benchmarks, its ranking as shown in this diagram can be lower than it should be. So please check the list of supported benchmarks for the fuzzer(s) of your interest. The list could be specified in the fuzzer's README.md like this.

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

	honggfuzz	libafl	dgfuzz_32d973	aflplusplus	dgfuzz_1d7283	libfuzzer	afl	eclipser	centipede	mopt	aflsmart	fairfuzz	aflfast
FuzzerMedian	92.00	91.50	94.00	92.50	94.00	88.00	87.00	82.50	81.00	78.50	79.00	77.50	78.50
FuzzerMean	92.00	92.00	91.71	88.75	88.43	88.00	87.00	83.50	74.57	70.62	69.62	69.50	67.50
harfbuzz_hb-shape-fuzzer	nan	nan	nan	98.00	nan	nan	nan	97.00	nan	97.00	97.00	85.00	96.00
lcms_cms_transform_fuzzer	nan	nan	94.00	89.00	95.00	nan	nan	74.00	35.00	50.00	40.00	54.00	28.00
libpcap_fuzz_both	nan	nan	78.00	86.00	78.00	nan	nan	71.00	81.00	0.00	0.00	0.00	1.00
mbedtls_fuzz_dtlsclient	nan	87.00	94.00	69.00	71.00	nan	nan	67.00	66.00	67.00	68.00	70.00	65.00
openthread_ot-ip6-send-fuzzer	nan	88.00	86.00	76.00	87.00	nan	nan	74.00	70.00	71.00	71.00	68.00	71.00
stb_stbi_read_fuzzer	92.00	nan	96.00	96.00	95.00	88.00	87.00	91.00	85.00	86.00	87.00	86.00	86.00
vorbis_decode_fuzzer	nan	98.00	99.00	99.00	99.00	nan	nan	98.00	90.00	98.00	98.00	97.00	98.00
zlib_zlib_uncompress_fuzzer	nan	95.00	95.00	97.00	94.00	nan	nan	96.00	95.00	96.00	96.00	96.00	95.00

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.

harfbuzz_hb-shape-fuzzer summary

Ranking by median reached code coverage

Mean code coverage growth over time

* The error bands show the 95% confidence interval around the mean code coverage.

The following fuzzers do not have enough samples: fairfuzz, aflplusplus.

Sample statistics and statistical significance (code coverage)

Code coverage sample statistics

		count	mean	std	min	25%	median	75%	max
fuzzer	time
aflplusplus	82800	9.0	10874.000000	26.748832	10814.0	10867.00	10878.0	10892.00	10903.0
mopt	82800	20.0	10778.950000	52.249880	10651.0	10757.50	10789.5	10796.25	10863.0
eclipser	82800	20.0	10769.400000	51.530676	10623.0	10744.25	10777.0	10789.50	10868.0
aflsmart	82800	20.0	10763.700000	42.521945	10652.0	10753.00	10764.5	10791.00	10839.0
aflfast	82800	20.0	10677.750000	59.487172	10566.0	10633.00	10675.5	10714.50	10791.0
fairfuzz	82800	14.0	9509.571429	347.646530	9071.0	9259.50	9399.0	9715.75	10155.0

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

Code coverage reports for each fuzzer on this benchmark

afl aflfast aflplusplus aflsmart centipede dgfuzz_1d7283 dgfuzz_32d973 eclipser fairfuzz honggfuzz libafl libfuzzer mopt