FuzzBench: 2023-11-09-libfuzzer-coverage 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	97.71
aflplusplus	96.98
libfuzzer	93.66
honggfuzz	91.14
libfuzzer_partial_coverage	88.94
afl	85.60
mopt	85.33
libfuzzer_no_coverage	84.86
eclipser	84.74
aflsmart	83.99
aflfast	82.35
fairfuzz	79.77
centipede	68.52

By avg. rank

	average rank
fuzzer
aflplusplus	2.83
libafl	4.43
libfuzzer	5.61
libfuzzer_partial_coverage	5.70
honggfuzz	5.87
eclipser	6.17
libfuzzer_no_coverage	6.48
aflsmart	6.70
afl	7.57
mopt	7.70
aflfast	9.87
centipede	10.00
fairfuzz	10.09

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	honggfuzz	libfuzzer	libfuzzer_partial_coverage	libfuzzer_no_coverage	eclipser	afl	mopt	aflsmart	aflfast	centipede	fairfuzz
FuzzerMedian	96.00	97.00	96.50	92.00	92.00	91.00	94.00	93.00	93.00	94.00	92.00	88.00	85.00
FuzzerMean	93.83	93.35	91.95	90.13	89.27	89.14	89.05	82.61	82.35	81.04	79.43	79.37	76.87
bloaty_fuzz_target	98.00	98.00	94.00	91.00	90.00	90.00	94.00	94.00	96.00	95.00	93.00	nan	80.00
curl_curl_fuzzer_http	96.00	98.00	97.00	90.00	85.00	89.00	94.00	93.00	93.00	94.00	92.00	nan	83.00
freetype2_ftfuzzer	89.00	90.00	89.00	77.00	74.00	76.00	72.00	65.00	65.00	65.00	62.00	56.00	61.00
harfbuzz_hb-shape-fuzzer	99.00	98.00	95.00	94.00	94.00	94.00	96.00	96.00	96.00	96.00	95.00	nan	87.00
jsoncpp_jsoncpp_fuzzer	98.00	99.00	99.00	100.00	100.00	100.00	98.00	98.00	98.00	98.00	98.00	98.00	98.00
lcms_cms_transform_fuzzer	96.00	89.00	73.00	88.00	89.00	88.00	80.00	68.00	65.00	41.00	29.00	40.00	51.00
libjpeg-turbo_libjpeg_turbo_fuzzer	82.00	82.00	99.00	99.00	82.00	82.00	nan	99.00	99.00	82.00	82.00	82.00	82.00
libpcap_fuzz_both	88.00	91.00	nan	81.00	81.00	80.00	81.00	1.00	1.00	1.00	1.00	91.00	1.00
libpng_libpng_read_fuzzer	95.00	95.00	95.00	96.00	96.00	96.00	94.00	94.00	94.00	95.00	93.00	96.00	94.00
libxml2_xml	98.00	99.00	98.00	97.00	96.00	97.00	97.00	97.00	97.00	97.00	96.00	92.00	89.00
libxslt_xpath	96.00	99.00	97.00	92.00	92.00	91.00	96.00	94.00	93.00	96.00	94.00	94.00	96.00
mbedtls_fuzz_dtlsclient	84.00	72.00	70.00	70.00	70.00	70.00	71.00	70.00	70.00	71.00	68.00	68.00	72.00
openh264_decoder_fuzzer	99.00	99.00	99.00	98.00	nan	nan	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
openthread_ot-ip6-send-fuzzer	85.00	75.00	74.00	75.00	75.00	75.00	74.00	71.00	71.00	71.00	71.00	70.00	67.00
proj4_proj_crs_to_crs_fuzzer	88.00	87.00	97.00	91.00	92.00	92.00	59.00	9.00	9.00	9.00	9.00	9.00	9.00
re2_fuzzer	98.00	99.00	98.00	99.00	99.00	99.00	98.00	98.00	98.00	98.00	98.00	95.00	98.00
sqlite3_ossfuzz	91.00	96.00	72.00	80.00	79.00	79.00	93.00	92.00	92.00	94.00	91.00	65.00	66.00
stb_stbi_read_fuzzer	98.00	95.00	95.00	90.00	91.00	91.00	94.00	90.00	89.00	90.00	89.00	88.00	89.00
systemd_fuzz-link-parser	98.00	99.00	97.00	80.00	95.00	94.00	92.00	92.00	91.00	91.00	91.00	97.00	85.00
vorbis_decode_fuzzer	93.00	94.00	93.00	94.00	94.00	94.00	93.00	93.00	93.00	93.00	93.00	85.00	93.00
woff2_convert_woff2ttf_fuzzer	96.00	97.00	96.00	93.00	92.00	96.00	nan	92.00	90.00	93.00	89.00	88.00	81.00
zlib_zlib_uncompress_fuzzer	94.00	97.00	97.00	99.00	99.00	nan	96.00	96.00	96.00	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
aflplusplus	82800	20.0	6343.850000	75.978027	6135.0	6327.50	6368.5	6397.25	6442.0
libafl	82800	19.0	6358.473684	60.036441	6225.0	6324.00	6367.0	6388.00	6458.0
mopt	82800	17.0	6213.117647	107.523766	6002.0	6178.00	6225.0	6261.00	6465.0
aflsmart	82800	20.0	6198.450000	127.984981	5937.0	6102.25	6205.0	6295.25	6394.0
honggfuzz	82800	20.0	6100.500000	209.354522	5744.0	5948.25	6131.5	6295.50	6391.0
eclipser	82800	20.0	6110.200000	114.487232	5900.0	6066.75	6107.0	6144.50	6360.0
afl	82800	17.0	6125.176471	93.390467	6005.0	6051.00	6096.0	6241.00	6274.0
aflfast	82800	20.0	6080.100000	119.230824	5858.0	6033.50	6059.0	6136.50	6350.0
libfuzzer	82800	20.0	5897.050000	169.163414	5559.0	5805.00	5890.5	5988.00	6182.0
libfuzzer_partial_coverage	82800	20.0	5868.050000	129.997763	5662.0	5751.50	5883.0	5952.75	6149.0
libfuzzer_no_coverage	82800	20.0	5850.050000	156.655329	5548.0	5745.00	5835.5	5998.50	6093.0
fairfuzz	82800	20.0	5217.750000	121.813868	5060.0	5145.00	5194.5	5272.75	5570.0

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 libfuzzer_no_coverage libfuzzer_partial_coverage mopt