FuzzBench: 2023-05-16-symcts 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	96.50
aflplusplus	96.07
libfuzzer	89.72
symcts_symqemu_afl	89.43
mopt	84.82
symcc_aflplusplus	84.31
aflsmart	84.07
eclipser	83.85
aflfast	82.51
honggfuzz	81.95
fairfuzz	79.63
symsan	73.08
symcts_afl	72.24
centipede	67.96
symcts	38.20
symcts_symqemu	35.97
afl	4.50

By avg. rank

	average rank
fuzzer
symcts_symqemu_afl	3.91
aflplusplus	4.59
symcc_aflplusplus	5.55
symcts_afl	5.82
libafl	6.73
symsan	7.05
honggfuzz	7.32
aflsmart	7.68
eclipser	7.86
libfuzzer	8.27
mopt	8.68
aflfast	10.32
centipede	10.73
fairfuzz	11.09
symcts	12.41
symcts_symqemu	12.95
afl	14.27

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

	afl	symcts_afl	symcts_symqemu_afl	symcc_aflplusplus	libafl	aflplusplus	honggfuzz	symsan	symcts	eclipser	libfuzzer	symcts_symqemu	mopt	aflsmart	centipede	aflfast	fairfuzz
FuzzerMedian	97.00	98.00	98.50	98.00	96.00	97.00	97.00	95.00	92.00	94.00	87.00	88.00	94.00	95.50	92.00	93.00	86.50
FuzzerMean	97.00	95.88	95.45	94.89	93.77	93.32	92.05	91.41	89.56	89.50	87.27	84.67	82.73	82.14	80.56	80.50	77.59
bloaty_fuzz_target	nan	nan	99.00	81.00	98.00	75.00	94.00	67.00	nan	94.00	85.00	nan	96.00	96.00	nan	93.00	80.00
curl_curl_fuzzer_http	nan	98.00	98.00	97.00	96.00	97.00	98.00	97.00	nan	94.00	86.00	nan	94.00	94.00	nan	93.00	84.00
freetype2_ftfuzzer	nan	91.00	89.00	88.00	84.00	89.00	86.00	88.00	nan	70.00	67.00	nan	63.00	63.00	54.00	60.00	59.00
harfbuzz_hb-shape-fuzzer	nan	nan	nan	98.00	99.00	98.00	96.00	nan	nan	97.00	85.00	nan	97.00	97.00	nan	95.00	87.00
jsoncpp_jsoncpp_fuzzer	nan	99.00	99.00	99.00	98.00	99.00	99.00	99.00	96.00	98.00	100.00	63.00	98.00	98.00	98.00	98.00	98.00
lcms_cms_transform_fuzzer	nan	95.00	94.00	nan	88.00	87.00	74.00	94.00	85.00	76.00	78.00	80.00	61.00	39.00	37.00	27.00	49.00
libjpeg-turbo_libjpeg_turbo_fuzzer	nan	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00	nan	99.00	99.00	99.00	99.00	99.00	99.00	99.00
libpcap_fuzz_both	nan	92.00	91.00	nan	86.00	95.00	nan	92.00	nan	81.00	81.00	nan	1.00	1.00	91.00	1.00	1.00
libpng_libpng_read_fuzzer	nan	95.00	96.00	95.00	95.00	95.00	95.00	95.00	92.00	94.00	96.00	89.00	94.00	95.00	96.00	93.00	94.00
libxml2_xml	nan	99.00	99.00	96.00	98.00	96.00	98.00	95.00	nan	97.00	92.00	nan	97.00	97.00	93.00	97.00	89.00
libxslt_xpath	nan	99.00	nan	98.00	96.00	98.00	nan	97.00	nan	96.00	78.00	nan	94.00	96.00	94.00	94.00	97.00
openh264_decoder_fuzzer	nan	98.00	99.00	98.00	99.00	99.00	99.00	nan	nan	99.00	96.00	88.00	99.00	99.00	nan	99.00	90.00
openssl_x509	nan	99.00	99.00	99.00	99.00	99.00	99.00	nan	nan	99.00	99.00	nan	99.00	99.00	99.00	99.00	99.00
openthread_ot-ip6-send-fuzzer	nan	85.00	80.00	80.00	73.00	68.00	68.00	73.00	79.00	67.00	69.00	78.00	65.00	65.00	64.00	64.00	61.00
proj4_proj_crs_to_crs_fuzzer	nan	nan	82.00	88.00	86.00	85.00	95.00	93.00	nan	58.00	88.00	nan	9.00	9.00	9.00	9.00	9.00
re2_fuzzer	nan	nan	99.00	99.00	98.00	99.00	98.00	nan	nan	99.00	99.00	nan	99.00	99.00	96.00	99.00	99.00
sqlite3_ossfuzz	nan	nan	99.00	nan	90.00	88.00	69.00	73.00	nan	93.00	58.00	nan	92.00	94.00	65.00	91.00	65.00
stb_stbi_read_fuzzer	nan	92.00	94.00	95.00	95.00	95.00	91.00	nan	93.00	91.00	85.00	89.00	86.00	87.00	85.00	86.00	86.00
systemd_fuzz-link-parser	nan	nan	99.00	99.00	98.00	99.00	nan	99.00	nan	92.00	97.00	nan	91.00	91.00	97.00	91.00	85.00
vorbis_decode_fuzzer	nan	99.00	99.00	99.00	98.00	99.00	97.00	99.00	90.00	98.00	98.00	86.00	98.00	98.00	89.00	98.00	98.00
woff2_convert_woff2ttf_fuzzer	nan	98.00	98.00	98.00	96.00	97.00	97.00	98.00	93.00	nan	86.00	90.00	92.00	94.00	88.00	90.00	81.00
zlib_zlib_uncompress_fuzzer	97.00	96.00	97.00	97.00	94.00	97.00	97.00	96.00	79.00	97.00	98.00	nan	96.00	97.00	96.00	95.00	97.00

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: symcts_symqemu_afl.

Sample statistics and statistical significance (code coverage)

Code coverage sample statistics

		count	mean	std	min	25%	median	75%	max
fuzzer	time
symcts_symqemu_afl	82800	6.0	6423.833333	25.926177	6397.0	6400.25	6422.5	6445.50	6455.0
libafl	82800	20.0	6353.800000	71.997515	6140.0	6344.75	6371.5	6388.00	6442.0
mopt	82800	20.0	6236.050000	71.516266	6071.0	6226.50	6243.5	6268.50	6354.0
aflsmart	82800	20.0	6198.450000	127.984981	5937.0	6102.25	6205.0	6295.25	6394.0
honggfuzz	82800	20.0	6103.850000	168.969719	5769.0	5961.25	6121.0	6260.00	6373.0
eclipser	82800	20.0	6110.200000	114.487232	5900.0	6066.75	6107.0	6144.50	6360.0
aflfast	82800	20.0	6080.100000	119.230824	5858.0	6033.50	6059.0	6136.50	6350.0
libfuzzer	82800	20.0	5482.000000	108.839331	5188.0	5405.25	5501.0	5545.25	5689.0
symcc_aflplusplus	82800	20.0	5250.950000	264.036376	4821.0	5113.50	5285.0	5418.25	5671.0
fairfuzz	82800	20.0	5217.750000	121.813868	5060.0	5145.00	5194.5	5272.75	5570.0
aflplusplus	82800	20.0	4885.500000	102.739579	4666.0	4845.50	4883.0	4946.25	5116.0
symsan	82800	20.0	4363.000000	0.000000	4363.0	4363.00	4363.0	4363.00	4363.0

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 eclipser fairfuzz honggfuzz libafl libfuzzer mopt symcc_aflplusplus symcts symcts_afl symcts_symqemu symcts_symqemu_afl symsan