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Datasets:
Fisho0
/
MemVulBench

Tasks:
Other
Languages:
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Tags:
fuzzing
memory-safety
security
benchmark
ARVO
OSS-Fuzz
License:
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
scanned_files: int64
scope: string
counts: struct<host_path: int64, tmp_locator: int64, credential: int64, private_key: int64, email: int64>
  child 0, host_path: int64
  child 1, tmp_locator: int64
  child 2, credential: int64
  child 3, private_key: int64
  child 4, email: int64
notes: struct<host_path: string, tmp_locator: string, email: string>
  child 0, host_path: string
  child 1, tmp_locator: string
  child 2, email: string
hits: struct<host_path: list<item: struct<file: string, line: int64, snippet: string>>, tmp_locator: list< (... 190 chars omitted)
  child 0, host_path: list<item: struct<file: string, line: int64, snippet: string>>
      child 0, item: struct<file: string, line: int64, snippet: string>
          child 0, file: string
          child 1, line: int64
          child 2, snippet: string
  child 1, tmp_locator: list<item: struct<file: string, line: int64, snippet: string>>
      child 0, item: struct<file: string, line: int64, snippet: string>
          child 0, file: string
          child 1, line: int64
          child 2, snippet: string
  child 2, credential: list<item: null>
      child 0, item: null
  child 3, private_key: list<item: null>
      child 0, item: null
  child 4, email: list<item: struct<file: string, line: int64, snippet: string>>
      child 0, item: struct<file: string, line: int64, snippet: string>
          child 0, file: string
          child 1, line: int64
          child 2, snippet: string
units: int64
matches: int64
results: list<item: struct<project: string, image: string, recorded_sha256: string, recomputed_sha256: string (... 15 chars omitted)
  child 0, item: struct<project: string, image: string, recorded_sha256: string, recomputed_sha256: string, match: bo (... 3 chars omitted)
      child 0, project: string
      child 1, image: string
      child 2, recorded_sha256: string
      child 3, recomputed_sha256: string
      child 4, match: bool
verified_at: timestamp[s]
to
{'scope': Value('string'), 'verified_at': Value('timestamp[s]'), 'units': Value('int64'), 'matches': Value('int64'), 'results': List({'project': Value('string'), 'image': Value('string'), 'recorded_sha256': Value('string'), 'recomputed_sha256': Value('string'), 'match': Value('bool')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              scanned_files: int64
              scope: string
              counts: struct<host_path: int64, tmp_locator: int64, credential: int64, private_key: int64, email: int64>
                child 0, host_path: int64
                child 1, tmp_locator: int64
                child 2, credential: int64
                child 3, private_key: int64
                child 4, email: int64
              notes: struct<host_path: string, tmp_locator: string, email: string>
                child 0, host_path: string
                child 1, tmp_locator: string
                child 2, email: string
              hits: struct<host_path: list<item: struct<file: string, line: int64, snippet: string>>, tmp_locator: list< (... 190 chars omitted)
                child 0, host_path: list<item: struct<file: string, line: int64, snippet: string>>
                    child 0, item: struct<file: string, line: int64, snippet: string>
                        child 0, file: string
                        child 1, line: int64
                        child 2, snippet: string
                child 1, tmp_locator: list<item: struct<file: string, line: int64, snippet: string>>
                    child 0, item: struct<file: string, line: int64, snippet: string>
                        child 0, file: string
                        child 1, line: int64
                        child 2, snippet: string
                child 2, credential: list<item: null>
                    child 0, item: null
                child 3, private_key: list<item: null>
                    child 0, item: null
                child 4, email: list<item: struct<file: string, line: int64, snippet: string>>
                    child 0, item: struct<file: string, line: int64, snippet: string>
                        child 0, file: string
                        child 1, line: int64
                        child 2, snippet: string
              units: int64
              matches: int64
              results: list<item: struct<project: string, image: string, recorded_sha256: string, recomputed_sha256: string (... 15 chars omitted)
                child 0, item: struct<project: string, image: string, recorded_sha256: string, recomputed_sha256: string, match: bo (... 3 chars omitted)
                    child 0, project: string
                    child 1, image: string
                    child 2, recorded_sha256: string
                    child 3, recomputed_sha256: string
                    child 4, match: bool
              verified_at: timestamp[s]
              to
              {'scope': Value('string'), 'verified_at': Value('timestamp[s]'), 'units': Value('int64'), 'matches': Value('int64'), 'results': List({'project': Value('string'), 'image': Value('string'), 'recorded_sha256': Value('string'), 'recomputed_sha256': Value('string'), 'match': Value('bool')})}
              because column names don't match

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MemVulBench v1.0.0

A real-world multi-bug benchmark for C/C++ memory-safety fuzzing: 20 admitted test units, 292 verified unique memory-vulnerability fingerprints (287 expected + 5 audited extra). Each unit is one real upstream project at one unmodified historical commit, driven through a single final entry point (identity or byte-prefix dispatch), with per-fingerprint triggering PoCs, persisted first-fault ASan logs and SHA-256 manifests.

Layout 

units/<project>/                            # browsable metadata (3 small files each)
  <project>-<commit12>-v1.0.0.tar           # final aggregate image + PoCs + logs
  manifest.json                             # per-file SHA-256, upstream commit, entry map
  run-config.json                           # docker load / replay commands, ASAN_OPTIONS
fingerprint-index.json                      # 292 fingerprints -> unit, PoC, log, fix commit
manifest.json                               # release manifest (20 units, 292 fingerprints)
checks/hash-verification.json               # 20/20 image sha256 recomputed & matched
README.md                                   # this card

Quickstart 

pip install -U "huggingface_hub[hf_xet]"
huggingface-cli download Fisho0/MemVulBench --repo-type dataset \
    --include "units/arrow/*" --local-dir memvulbench

docker load -i memvulbench/units/arrow/arrow-8b09ecc5c690-v1.0.0.tar  # inside the tar
# replay per units/arrow/run-config.json; each PoC's first fault should match
# the corresponding final-entry log in the tar.

Mainland-China users can download without a VPN by prepending:

export HF_ENDPOINT=https://hf-mirror.com

Provenance & license

  • Software, catalog and evidence: https://github.com/explorerlxy/MemVulBench (tag memvulbench-v1.0.0; code MIT, data/docs CC BY 4.0).
  • Every unit is an unmodified upstream commit recorded in its manifest; the images embed upstream sources under their original licenses.
  • All bugs are historically public, upstream-fixed OSS-Fuzz issues (fix commits recorded per fingerprint in fingerprint-index.json).

Citation 

@dataset{memvulbench-v1.0.0,
  title  = {MemVulBench: A Real-World Multi-Bug Benchmark for C/C++ Memory-Safety Fuzzing},
  author = {Lu, Xiaoyu and Wei, Qiang and Wang, Yunfeng},
  year   = {2026},
  version= {v1.0.0},
  url    = {https://huggingface.co/datasets/Fisho0/MemVulBench}
}
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