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Run gh-30404285801-1 ​

Trial run

Warning — trial run. This benchmark was executed with fewer than 10 instances per fuzzer and/or a time budget shorter than 24h. Results from trial runs are meant for debugging purposes and are not valid for extracting conclusions across different fuzzers.

Charts ​

Bugs Over TimeTime To KFinal DistributionPlateau And Late ShareInvariant Overlap (UpSet)Corpus Size Over TimeSeq/s Over TimeTx/s Over TimeGas/s Over TimeCPU Usage Over TimeMemory Usage Over Time

Report ​

Fuzzer Benchmark Report (from bug-count CSV) ​

  • Time budget: 0.50h

Warning — trial run. This benchmark was executed with fewer than 10 instances per fuzzer and/or a time budget shorter than 24h. Results from trial runs are meant for debugging purposes and are not valid for extracting conclusions across different fuzzers.

Executive summary ​

This report is derived solely from cumulative bugs-found over time across repeated runs per fuzzer. It emphasizes robust, distribution-based metrics (median/IQR, success rates, time-to-k) and shape-based behavior (plateau time, late discovery share) instead of single-run time-to-first-bug.

Bugs found at fixed time budgets (median [IQR]) ​

FuzzerRuns0.5h
echidna18 [8,8]
medusa18 [8,8]

Overall metrics ​

FuzzerAUC (norm)Plateau timeLate discovery shareFinal medianFinal IQR
echidna0.7000.30h0.25080.00
medusa0.6500.50h0.12580.00

Milestones: time-to-k and success rates ​

Fuzzertime-to-1 (p50)time-to-3 (p50)time-to-5 (p50)reach-1 ratereach-3 ratereach-5 rate
echidna0.10h0.10h0.10h100.0%100.0%100.0%
medusa0.00h0.10h0.20h100.0%100.0%100.0%

Throughput metrics (if supported by log format) ​

Values are run-level rates aggregated per fuzzer; n/a indicates the parser could not recover that metric from logs.

FuzzerRunsTx/s runsTx/s p50 [p25,p75]Gas/s runsGas/s p50 [p25,p75]
echidna113975.95 [3975.95,3975.95]134731700385.00 [34731700385.00,34731700385.00]
medusa112247.00 [2247.00,2247.00]1276800320.00 [276800320.00,276800320.00]

Progress metrics from logs (fuzzer-specific proxies) ​

Sequence-rate and corpus values are parsed from native progress output and are useful for within-tool trend context.

FuzzerRunsSeq/s runsSeq/s p50 [p25,p75]Corpus runsCorpus p50 [p25,p75]
echidna10n/a194.00 [94.00,94.00]
medusa1121.00 [21.00,21.00]1226.00 [226.00,226.00]

Function selector sanity checks ​

Counts are occurrences in unique saved corpus sequences, not runtime execution frequencies The complete per-instance distribution is in selector_distribution.csv; selector_summary.json preserves statuses and provenance.

  • Expected-set status: available (23 selector(s))
  • Expected-set provenance: peer-consensus heuristic: observed in every available corpus for at least two independent evidence families (Echidna and Recon count as one related typed-corpus family); not benchmark ground truth
FuzzerStatusInstances with telemetrySaved-corpus callsUnique selectors
echidnaavailable1/1924244
medusaavailable1/11113466
Most common saved-corpus selectors ​
FuzzerSelectorFunctionCallsShare
echidna0x27dd847ciSpoke_liquidationCall_ASSERTION_LIQUIDATION_CALL_DOS(uint256,uint256,uint256,uint256,bool)4084.41%
echidna0x50fb9ec5invariant_totalBorrowedSharesMatchesSpokeSum()3714.01%
echidna0x4b430dd2iSpoke_updateDynamicReserveConfig(uint256,uint24,(uint16,uint32,uint16))3643.94%
echidna0x4896f9c3iHub_updateSpokeConfig(uint256,uint256,(uint40,uint40,uint24,bool,bool))3583.87%
echidna0x44a0611biHub_setInterestRateData(uint256,(uint16,uint32,uint32,uint32))3503.79%
echidna0x0a9254e4setUp()3403.68%
echidna0xe6fb1960iSpoke_updateReserveConfig(uint256,(uint24,bool,bool,bool,bool,bool))3323.59%
echidna0xf24a44c9assert_canary_ASSERTION_CANARY(uint256)3323.59%
echidna0xb722c6ediHub_updateAssetConfig(uint256,(address,uint16,address,address),(uint16,uint32,uint32,uint32))3303.57%
echidna0x5c9d5cb7iSpoke_supply_ASSERTION_SUPPLY_DOS(uint256,uint256)3283.55%
medusa0xb722c6ediHub_updateAssetConfig(uint256,(address,uint16,address,address),(uint16,uint32,uint32,uint32))5695.11%
medusa0x5c9d5cb7iSpoke_supply_ASSERTION_SUPPLY_DOS(uint256,uint256)5554.98%
medusa0xf9f2ec54iSpoke_borrow(uint256,uint256)5274.73%
medusa0x4b430dd2iSpoke_updateDynamicReserveConfig(uint256,uint24,(uint16,uint32,uint16))5254.72%
medusa0x55ba98ffswitch_asset(uint256)5144.62%
medusa0x20bea9ddiHub_mintFeeShares_ASSERTION_MINT_FEE_SHARES_PPS_CHANGE(uint256)5054.54%
medusa0x4896f9c3iHub_updateSpokeConfig(uint256,uint256,(uint40,uint40,uint24,bool,bool))5004.49%
medusa0x6801b82eswitchActor(uint256)4984.47%
medusa0xa89ef612iSpoke_updateUserDynamicConfig()4974.46%
medusa0xca2664f9iSpoke_setUsingAsCollateral(uint256,bool)4964.45%

Statistical comparison (Mann-Whitney U and Vargha-Delaney A12) ​

Pairwise Mann-Whitney U tests and Vargha-Delaney A12 effect sizes on end-of-budget bug counts. The tests are two-sided, with Bonferroni correction applied for 0 comparison(s). Significance level: alpha = 0.05.

Warnings:

  • One or more fuzzers have fewer than 5 runs. Statistical power may be limited.
  • Skipping echidna vs medusa: fewer than 2 runs.

Note: A12 is the probability that a randomly selected Fuzzer A run has a higher final bug count than a randomly selected Fuzzer B run, counting ties as half. Values above 0.5 favor A, values below 0.5 favor B, and 0.5 means equal tendency. Magnitude thresholds by distance from 0.5 are negligible (<0.06), small (<0.14), medium (<0.21), and large (>=0.21). Small sample sizes (fewer than 5 runs) reduce statistical power. A12 and its magnitude label are descriptive; the thresholds are rules of thumb. Neither the effect size nor statistical significance establishes practical importance, causation, or performance beyond the observed runs.

Shape-based interpretation (rules of thumb) ​

  • Fast-start / early-plateau: high early checkpoint median + early plateau time + low late discovery share.
  • Steady: moderate AUC, later plateau, consistent improvements across checkpoints, moderate variance.
  • Slow-burn / late-surge: low early checkpoints but high late discovery share and later plateau time; often higher final median.

Limitations ​

  • Core count-based charts use normalized event identities stored under the legacy bugs_found column. They do not count crash inputs, but they are not confirmed root-cause bug counts.
  • Use known_bug_report.md, known_bug_summary.csv, and known_bug_findings.csv for evidence-backed known-bug hit rates; use broken_invariants.md / broken_invariants.csv for raw invariant identities.
  • Severity, exploitability, and root-cause uniqueness cannot be measured directly without richer per-bug metadata.
  • Harness design still affects results; mitigate by keeping harness identical across fuzzers and reporting many runs.

Broken invariants ​

  • Budget filter: 0.50h
  • Events considered: 16 / 16
  • Unique invariants: 9

Warning — trial run. This benchmark was executed with fewer than 10 instances per fuzzer and/or a time budget shorter than 24h. Results from trial runs are meant for debugging purposes and are not valid for extracting conclusions across different fuzzers.

Per-fuzzer totals ​

FuzzerInvariants
echidna8
medusa8

High-level overlap ​

  • Shared by all active fuzzers: 7
  • Exclusive to echidna: 1
  • Exclusive to medusa: 1

Grouped invariants ​

Exclusive to echidna (1)
  • iSpoke_liquidationCall
Exclusive to medusa (1)
  • invariant_totalBorrowedLessThanSupplied_v1
Shared by all active fuzzers (7)
  • assert_canary
  • iHub_mintFeeShares
  • iSpoke_repay
  • iSpoke_withdraw
  • invariant_canary
  • invariant_shouldNotBecomeLiquidatable
  • invariant_totalBorrowedLessThanSupplied_v0

Ground-truth known-bug mapping ​

Ground-truth mapping was not applied.

  • Reason: run commit 6f9795808367de1357c1059377dde9201b9c1d66 is not the evidence-pinned catalog revision 459b020058f4a65d18eb1481083b75c766340124
  • Catalog: benchmarks/known_bugs.json

No event was classified as a known bug. Raw event analysis remains available, but it must not be interpreted as a confirmed bug count.

Runner resource usage ​

  • Budget filter: 0.50h
  • Instances with metrics: 2
  • Total samples: 701

Per-fuzzer medians (across instances) ​

FuzzerInstancesCPU active avg (%)CPU active peak (%)Memory used avg (GiB)Memory used peak (GiB)Memory used avg (%)Memory used peak (%)
echidna182.6194.8333.0937.1753.8060.43
medusa186.8198.362.364.223.836.86

Instance stats ​

InstanceFuzzerSamplesDuration (h)CPU active avg (%)CPU active peak (%)Memory avg (GiB)Memory peak (GiB)Memory avg (%)Memory peak (%)
i-08651eea8b0663884-echidna-v2.3.3echidna3490.5082.6194.8333.0937.1753.8060.43
i-00206d91e8f69c004-medusa-v1.5.1medusa3520.5086.8198.362.364.223.836.86

Manifest ​

  • scfuzzbench_commit: af0281945bfd4945f2fa1e2d6594319ba6707048
  • target_repo_url: https://github.com/scfuzzbench/aave-v4-scfuzzbench
  • target_commit: 6f9795808367de1357c1059377dde9201b9c1d66
  • benchmark_type: property
  • instance_type: c6a.8xlarge
  • instances_per_fuzzer: 1
  • timeout_hours: 0.5
  • aws_region: us-east-1
  • ubuntu_ami_id: ami-052355af2a014bd2c
  • foundry_version: 1.7.2-dev
  • foundry_git_repo: https://github.com/foundry-rs/foundry
  • foundry_git_ref: 02c05d970d2801da0aef8b82486ce84b01ede36d
  • foundry_source_patch: scfuzzbench-throughput-progress-v1@sha256:2ee9e69b77c8007c78c816eb9ca791684aa5ecede0651b63f86cdd2e055eb17e
  • echidna_version: 2.3.3
  • medusa_version: 1.5.1
  • recon_version: 0.4.18-fix
  • fuzzer_keys: echidna, medusa

Artifacts ​

Fully static. Generated in CI from S3 run artifacts.