FuzzBench: sbft-standard-cov-01-20 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
libafl	97.01
aflplusplus	96.26
honggfuzz	93.95
libfuzzer	92.82
tunefuzz	91.09
fox	88.61
mystique	88.07
aflsmart	84.82
mopt	84.69
afl	83.29
eclipser	82.73
aflfast	82.19
fairfuzz	79.20
bandfuzz	72.93
centipede	67.63
pastis	50.85

By avg. rank

	average rank
fuzzer
aflplusplus	3.83
tunefuzz	5.17
fox	5.43
bandfuzz	5.91
libafl	6.26
libfuzzer	6.83
mystique	6.83
honggfuzz	8.17
aflsmart	8.43
eclipser	9.48
mopt	9.78
afl	9.96
pastis	10.13
aflfast	12.04
fairfuzz	12.04
centipede	12.39

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

	bandfuzz	libafl	fox	aflplusplus	mystique	tunefuzz	honggfuzz	libfuzzer	eclipser	aflsmart	mopt	afl	pastis	aflfast	centipede	fairfuzz
FuzzerMedian	97.00	96.00	97.00	97.00	96.00	95.50	96.00	94.00	93.00	94.00	93.00	93.00	93.50	92.00	88.00	85.00
FuzzerMean	95.71	93.74	93.57	93.00	93.00	91.95	90.87	89.61	87.38	82.30	82.09	80.61	80.29	79.61	78.84	76.65
bloaty_fuzz_target	97.00	98.00	88.00	97.00	97.00	98.00	94.00	88.00	93.00	94.00	96.00	93.00	93.00	92.00	nan	79.00
curl_curl_fuzzer_http	97.00	96.00	98.00	97.00	96.00	96.00	96.00	89.00	92.00	93.00	92.00	92.00	97.00	91.00	nan	83.00
freetype2_ftfuzzer	97.00	86.00	84.00	86.00	83.00	87.00	84.00	73.00	70.00	63.00	63.00	62.00	nan	62.00	54.00	59.00
harfbuzz_hb-shape-fuzzer	nan	99.00	97.00	98.00	99.00	98.00	96.00	94.00	96.00	96.00	97.00	96.00	94.00	95.00	nan	84.00
jsoncpp_jsoncpp_fuzzer	99.00	98.00	98.00	99.00	98.00	99.00	99.00	100.00	98.00	98.00	98.00	98.00	nan	98.00	98.00	98.00
lcms_cms_transform_fuzzer	95.00	90.00	87.00	89.00	92.00	81.00	79.00	83.00	73.00	68.00	69.00	39.00	89.00	28.00	37.00	53.00
libjpeg-turbo_libjpeg_turbo_fuzzer	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	nan	99.00	99.00	99.00	nan	99.00	96.00	99.00
libpcap_fuzz_both	90.00	82.00	91.00	86.00	84.00	85.00	80.00	75.00	72.00	1.00	1.00	1.00	85.00	1.00	81.00	1.00
libpng_libpng_read_fuzzer	96.00	95.00	96.00	95.00	95.00	95.00	95.00	96.00	95.00	95.00	94.00	94.00	nan	93.00	96.00	94.00
libxml2_xml	98.00	98.00	99.00	99.00	98.00	98.00	98.00	96.00	96.00	96.00	96.00	96.00	100.00	96.00	92.00	88.00
libxslt_xpath	98.00	96.00	99.00	98.00	96.00	98.00	97.00	91.00	94.00	95.00	93.00	94.00	51.00	93.00	93.00	95.00
mbedtls_fuzz_dtlsclient	nan	82.00	89.00	69.00	70.00	67.00	67.00	66.00	67.00	67.00	67.00	66.00	nan	65.00	66.00	69.00
openh264_decoder_fuzzer	nan	98.00	nan	99.00	nan	nan	98.00	98.00	98.00	99.00	99.00	99.00	nan	99.00	nan	90.00
openssl_x509	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	nan	99.00	99.00	99.00
openthread_ot-ip6-send-fuzzer	73.00	85.00	73.00	73.00	84.00	73.00	73.00	73.00	72.00	69.00	70.00	69.00	74.00	69.00	69.00	66.00
proj4_proj_crs_to_crs_fuzzer	nan	90.00	nan	89.00	nan	85.00	97.00	93.00	60.00	10.00	9.00	9.00	3.00	9.00	10.00	10.00
re2_fuzzer	99.00	98.00	99.00	99.00	98.00	99.00	98.00	99.00	99.00	99.00	98.00	99.00	98.00	98.00	95.00	98.00
sqlite3_ossfuzz	nan	91.00	88.00	92.00	89.00	91.00	69.00	79.00	91.00	92.00	91.00	92.00	nan	91.00	62.00	58.00
stb_stbi_read_fuzzer	nan	95.00	93.00	91.00	95.00	91.00	91.00	87.00	91.00	87.00	86.00	87.00	96.00	86.00	85.00	86.00
systemd_fuzz-link-parser	99.00	97.00	98.00	98.00	97.00	98.00	96.00	94.00	90.00	91.00	90.00	90.00	53.00	90.00	97.00	85.00
vorbis_decode_fuzzer	95.00	93.00	94.00	94.00	93.00	94.00	93.00	94.00	93.00	94.00	93.00	93.00	94.00	93.00	85.00	92.00
woff2_convert_woff2ttf_fuzzer	99.00	96.00	99.00	96.00	96.00	95.00	95.00	96.00	nan	92.00	91.00	91.00	nan	90.00	88.00	81.00
zlib_zlib_uncompress_fuzzer	97.00	95.00	97.00	97.00	95.00	97.00	97.00	99.00	96.00	96.00	97.00	96.00	97.00	94.00	95.00	96.00

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.

bloaty_fuzz_target 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: aflsmart, mopt, eclipser, fox, pastis.

Sample statistics and statistical significance (code coverage)

Code coverage sample statistics

		count	mean	std	min	25%	median	75%	max
fuzzer	time
tunefuzz	82800	20.0	6388.700000	69.629168	6179.0	6378.50	6409.5	6431.50	6471.0
libafl	82800	19.0	6373.315789	64.294507	6225.0	6334.00	6392.0	6418.00	6451.0
aflplusplus	82800	20.0	6338.950000	75.493795	6202.0	6305.25	6362.0	6384.75	6458.0
bandfuzz	82800	20.0	6330.550000	84.428403	6129.0	6266.00	6335.0	6378.25	6514.0
mystique	82800	20.0	6319.750000	54.153656	6196.0	6280.75	6333.5	6356.25	6401.0
mopt	82800	14.0	6242.357143	84.158831	6046.0	6225.75	6267.5	6291.00	6350.0
aflsmart	82800	15.0	6143.400000	156.758139	5816.0	6031.00	6149.0	6241.50	6401.0
honggfuzz	82800	18.0	6094.111111	174.869662	5884.0	5918.25	6142.0	6248.00	6329.0
pastis	82800	3.0	6092.000000	49.759421	6038.0	6070.00	6102.0	6119.00	6136.0
afl	82800	18.0	6101.944444	119.949240	5889.0	6070.75	6098.5	6141.75	6338.0
eclipser	82800	11.0	6053.181818	68.930136	5914.0	6022.50	6078.0	6095.50	6135.0
aflfast	82800	17.0	6028.411765	77.961576	5893.0	5960.00	6035.0	6065.00	6185.0
libfuzzer	82800	20.0	5795.800000	110.501536	5592.0	5718.75	5781.0	5869.50	5994.0
fox	82800	5.0	5762.000000	325.548000	5271.0	5703.00	5736.0	5970.00	6130.0
fairfuzz	82800	16.0	5189.937500	67.159977	5111.0	5135.25	5170.0	5226.00	5323.0

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 bandfuzz centipede eclipser fairfuzz fox honggfuzz libafl libfuzzer mopt mystique pastis tunefuzz