FuzzBench: 2023-12-15-fishfuzz 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	98.29
aflplusplus	97.55
honggfuzz	95.45
libfuzzer	93.76
fishpp_new_fast	93.28
fishpp_new_exp	93.16
fishpp_new	93.05
aflsmart	84.25
mopt	84.16
eclipser	84.14
afl	83.96
aflfast	82.84
fairfuzz	80.11
centipede	68.84

By avg. rank

	average rank
fuzzer
aflplusplus	3.17
fishpp_new_exp	3.83
fishpp_new	4.00
fishpp_new_fast	4.39
libafl	5.39
libfuzzer	6.22
honggfuzz	6.74
eclipser	8.13
aflsmart	8.43
mopt	9.04
afl	9.52
centipede	11.09
fairfuzz	11.26
aflfast	11.35

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

	libafl	aflplusplus	fishpp_new_fast	fishpp_new_exp	fishpp_new	honggfuzz	libfuzzer	eclipser	aflsmart	mopt	afl	aflfast	centipede	fairfuzz
FuzzerMedian	97.00	98.00	97.00	97.00	97.00	97.00	93.00	94.00	94.00	93.00	94.00	93.00	89.00	87.00
FuzzerMean	94.57	94.09	93.95	93.82	93.68	92.22	90.52	88.67	81.57	81.35	81.17	80.13	79.95	77.48
bloaty_fuzz_target	97.00	98.00	98.00	98.00	98.00	94.00	89.00	94.00	96.00	95.00	94.00	93.00	nan	79.00
curl_curl_fuzzer_http	97.00	98.00	98.00	97.00	98.00	97.00	87.00	93.00	93.00	93.00	92.00	92.00	nan	82.00
freetype2_ftfuzzer	90.00	90.00	92.00	93.00	92.00	91.00	74.00	74.00	66.00	66.00	65.00	64.00	57.00	62.00
harfbuzz_hb-shape-fuzzer	99.00	98.00	97.00	97.00	97.00	96.00	94.00	96.00	96.00	96.00	96.00	95.00	nan	87.00
jsoncpp_jsoncpp_fuzzer	98.00	99.00	99.00	99.00	99.00	99.00	100.00	98.00	98.00	98.00	98.00	98.00	98.00	98.00
lcms_cms_transform_fuzzer	92.00	89.00	88.00	88.00	85.00	79.00	89.00	79.00	37.00	39.00	36.00	27.00	36.00	50.00
libjpeg-turbo_libjpeg_turbo_fuzzer	99.00	99.00	99.00	99.00	99.00	99.00	99.00	nan	99.00	99.00	99.00	99.00	96.00	99.00
libpcap_fuzz_both	85.00	90.00	93.00	90.00	93.00	85.00	79.00	74.00	1.00	1.00	1.00	1.00	88.00	1.00
libpng_libpng_read_fuzzer	95.00	95.00	95.00	95.00	95.00	96.00	96.00	95.00	95.00	95.00	94.00	93.00	96.00	94.00
libxml2_xml	98.00	99.00	99.00	99.00	99.00	98.00	97.00	97.00	96.00	96.00	96.00	96.00	92.00	89.00
libxslt_xpath	96.00	98.00	98.00	97.00	98.00	97.00	92.00	95.00	94.00	92.00	94.00	93.00	94.00	95.00
mbedtls_fuzz_dtlsclient	83.00	73.00	72.00	73.00	72.00	70.00	70.00	70.00	70.00	70.00	70.00	68.00	68.00	72.00
openh264_decoder_fuzzer	99.00	99.00	nan	nan	nan	99.00	98.00	99.00	99.00	99.00	99.00	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	99.00	99.00
openthread_ot-ip6-send-fuzzer	87.00	76.00	81.00	76.00	76.00	75.00	76.00	75.00	72.00	72.00	72.00	72.00	71.00	69.00
proj4_proj_crs_to_crs_fuzzer	90.00	89.00	87.00	87.00	87.00	97.00	93.00	60.00	10.00	9.00	9.00	9.00	10.00	10.00
re2_fuzzer	98.00	99.00	99.00	99.00	99.00	98.00	99.00	98.00	99.00	98.00	98.00	99.00	95.00	98.00
sqlite3_ossfuzz	90.00	92.00	91.00	96.00	92.00	71.00	80.00	92.00	92.00	91.00	92.00	90.00	64.00	59.00
stb_stbi_read_fuzzer	95.00	92.00	92.00	92.00	92.00	92.00	87.00	90.00	87.00	86.00	87.00	86.00	85.00	86.00
systemd_fuzz-link-parser	98.00	99.00	99.00	99.00	99.00	98.00	93.00	91.00	91.00	91.00	91.00	91.00	97.00	88.00
vorbis_decode_fuzzer	97.00	99.00	98.00	98.00	99.00	97.00	99.00	97.00	97.00	97.00	97.00	97.00	89.00	97.00
woff2_convert_woff2ttf_fuzzer	98.00	97.00	96.00	96.00	96.00	97.00	93.00	nan	92.00	92.00	92.00	87.00	89.00	81.00
zlib_zlib_uncompress_fuzzer	95.00	97.00	97.00	97.00	97.00	97.00	99.00	96.00	97.00	97.00	96.00	95.00	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.

Sample statistics and statistical significance (code coverage)

Code coverage sample statistics

		count	mean	std	min	25%	median	75%	max
fuzzer	time
fishpp_new	82800	20.0	6377.60	63.117601	6212.0	6343.25	6388.5	6422.00	6463.0
fishpp_new_fast	82800	20.0	6380.55	43.994587	6277.0	6361.50	6377.0	6397.00	6462.0
fishpp_new_exp	82800	20.0	6346.50	95.950919	6129.0	6322.50	6375.0	6408.50	6477.0
aflplusplus	82800	20.0	6338.95	75.493795	6202.0	6305.25	6362.0	6384.75	6458.0
libafl	82800	20.0	6290.75	58.709701	6139.0	6256.00	6314.0	6330.75	6389.0
aflsmart	82800	20.0	6194.00	115.269478	5993.0	6087.25	6228.0	6286.50	6371.0
mopt	82800	20.0	6193.05	79.103846	6076.0	6117.00	6207.0	6251.50	6330.0
eclipser	82800	20.0	6124.90	101.490420	5907.0	6083.00	6127.0	6176.50	6313.0
honggfuzz	82800	20.0	6086.85	171.672968	5817.0	5913.50	6107.5	6238.25	6339.0
afl	82800	20.0	6100.15	83.208853	5944.0	6048.00	6089.0	6134.00	6295.0
aflfast	82800	20.0	6054.30	75.697528	5895.0	6010.75	6048.0	6088.75	6269.0
libfuzzer	82800	20.0	5787.60	128.467649	5546.0	5696.75	5802.5	5882.00	5984.0
fairfuzz	82800	20.0	5174.75	140.943018	5019.0	5088.00	5135.0	5222.00	5610.0

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 fishpp_new fishpp_new_exp fishpp_new_fast honggfuzz libafl libfuzzer mopt