FuzzBench: 2024-05-13-new-cov 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	98.92
honggfuzz	94.88
aflplusplus	93.35
libfuzzer	93.02
mopt	84.46
afl	81.05
aflsmart	75.81
centipede	68.85

By avg. rank

	average rank
fuzzer
aflplusplus	2.22
libafl	3.04
libfuzzer	3.78
honggfuzz	4.26
aflsmart	4.78
mopt	5.22
afl	5.35
centipede	6.65

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	afl	mopt	aflsmart	centipede
FuzzerMedian	98.00	98.00	97.00	93.00	94.00	93.00	94.00	91.00
FuzzerMean	95.70	94.73	91.83	90.04	82.18	82.04	80.48	80.42
bloaty_fuzz_target	98.00	98.00	92.00	91.00	94.00	96.00	94.00	nan
curl_curl_fuzzer_http	98.00	98.00	98.00	90.00	94.00	93.00	94.00	nan
freetype2_ftfuzzer	90.00	91.00	91.00	77.00	66.00	66.00	67.00	58.00
harfbuzz_hb-shape-fuzzer	99.00	98.00	96.00	94.00	96.00	97.00	96.00	nan
jsoncpp_jsoncpp_fuzzer	98.00	99.00	99.00	100.00	98.00	98.00	98.00	98.00
lcms_cms_transform_fuzzer	94.00	nan	73.00	86.00	67.00	51.00	40.00	37.00
libjpeg-turbo_libjpeg_turbo_fuzzer	99.00	99.00	99.00	99.00	99.00	99.00	99.00	99.00
libpcap_fuzz_both	91.00	94.00	89.00	82.00	1.00	1.00	1.00	91.00
libpng_libpng_read_fuzzer	95.00	95.00	95.00	96.00	94.00	94.00	94.00	96.00
libxml2_xml	99.00	99.00	98.00	97.00	97.00	97.00	97.00	92.00
libxslt_xpath	96.00	98.00	97.00	92.00	94.00	93.00	95.00	94.00
mbedtls_fuzz_dtlsclient	92.00	76.00	73.00	73.00	73.00	73.00	73.00	71.00
openh264_decoder_fuzzer	98.00	99.00	98.00	98.00	98.00	99.00	98.00	96.00
openssl_x509	99.00	99.00	98.00	99.00	99.00	99.00	99.00	99.00
openthread_ot-ip6-send-fuzzer	85.00	73.00	73.00	74.00	70.00	70.00	70.00	69.00
proj4_proj_crs_to_crs_fuzzer	89.00	87.00	96.00	93.00	9.00	9.00	9.00	10.00
re2_fuzzer	99.00	99.00	98.00	99.00	99.00	99.00	99.00	95.00
sqlite3_ossfuzz	99.00	96.00	69.00	78.00	90.00	90.00	91.00	65.00
stb_stbi_read_fuzzer	95.00	93.00	92.00	87.00	87.00	86.00	87.00	85.00
systemd_fuzz-link-parser	98.00	99.00	97.00	72.00	92.00	91.00	91.00	nan
vorbis_decode_fuzzer	98.00	99.00	97.00	99.00	98.00	98.00	98.00	89.00
woff2_convert_woff2ttf_fuzzer	98.00	98.00	97.00	96.00	93.00	92.00	nan	89.00
zlib_zlib_uncompress_fuzzer	94.00	97.00	97.00	99.00	nan	96.00	nan	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.

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
libafl	82800	20.0	6343.00	41.929766	6252.0	6324.25	6352.0	6367.00	6402.0
aflplusplus	82800	20.0	6328.30	69.291224	6149.0	6327.50	6340.0	6368.00	6429.0
mopt	82800	20.0	6189.05	93.155487	6019.0	6121.00	6188.0	6260.50	6323.0
aflsmart	82800	20.0	6146.00	146.262561	5784.0	6070.75	6104.0	6271.00	6381.0
afl	82800	20.0	6040.55	112.988809	5838.0	5956.50	6062.5	6098.75	6233.0
honggfuzz	82800	20.0	6044.80	190.055560	5739.0	5920.75	5971.0	6222.50	6334.0
libfuzzer	82800	20.0	5899.05	118.185614	5708.0	5797.75	5905.0	5980.25	6141.0

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 aflplusplus aflsmart centipede honggfuzz libafl libfuzzer mopt