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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
acknowledgement_received: bool
advisory_url: string
affected_area: string
disclosure_path: string
disclosure_sha256: string
disclosure_state: string
first_disclosure_email_utc: timestamp[s]
no_response_publication_eligible_utc: timestamp[s]
project: string
proof_manifest_sha256: string
public_action_state: string
public_safe_summary: string
published_utc: timestamp[s]
record_id: string
record_type: string
severity_estimate: string
technical_packet_state: string
validation_summary: string
visible_utc: timestamp[s]
staged_utc: timestamp[s]
private_intake_state: string
commitment_sha256: string
commitment_path: string
disclosure_clock_state: string
to
{'affected_area': Value('string'), 'commitment_path': Value('string'), 'commitment_sha256': Value('string'), 'disclosure_clock_state': Value('string'), 'disclosure_state': Value('string'), 'private_intake_state': Value('string'), 'project': Value('string'), 'proof_manifest_sha256': Value('string'), 'public_action_state': Value('string'), 'public_safe_summary': Value('string'), 'published_utc': Value('timestamp[s]'), 'record_id': Value('string'), 'record_type': Value('string'), 'staged_utc': Value('timestamp[s]'), 'technical_packet_state': Value('string'), 'validation_summary': Value('string')}
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(
                         ^^^^^^^^^
                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 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              acknowledgement_received: bool
              advisory_url: string
              affected_area: string
              disclosure_path: string
              disclosure_sha256: string
              disclosure_state: string
              first_disclosure_email_utc: timestamp[s]
              no_response_publication_eligible_utc: timestamp[s]
              project: string
              proof_manifest_sha256: string
              public_action_state: string
              public_safe_summary: string
              published_utc: timestamp[s]
              record_id: string
              record_type: string
              severity_estimate: string
              technical_packet_state: string
              validation_summary: string
              visible_utc: timestamp[s]
              staged_utc: timestamp[s]
              private_intake_state: string
              commitment_sha256: string
              commitment_path: string
              disclosure_clock_state: string
              to
              {'affected_area': Value('string'), 'commitment_path': Value('string'), 'commitment_sha256': Value('string'), 'disclosure_clock_state': Value('string'), 'disclosure_state': Value('string'), 'private_intake_state': Value('string'), 'project': Value('string'), 'proof_manifest_sha256': Value('string'), 'public_action_state': Value('string'), 'public_safe_summary': Value('string'), 'published_utc': Value('timestamp[s]'), 'record_id': Value('string'), 'record_type': Value('string'), 'staged_utc': Value('timestamp[s]'), 'technical_packet_state': Value('string'), 'validation_summary': Value('string')}
              because column names don't match

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Responsible Disclosure Evidence Index

This is a public-safe responsible-disclosure lane. It records our rules and links to sanitized disclosure records and non-actionable commitment notes. The current default is commitment first: when retained evidence exists, a non-actionable public commitment record gives the work a visible timestamp while technical details stay private. It does not publish exploit steps, private emails, source paths, reproduction code, raw logs, or unresolved technical packets.

Sanitized Disclosure Records

  • Linux kernel: UML vector transport GRE header boundary - Public record for a private Linux UML vector transport report involving GRE header initialization and an out-of-bounds write concern. The disclosure date and no-response review date are stated; technical details are withheld.
  • Werkzeug: Windows/NTFS alternate-stream path boundary - Public record for a private Werkzeug report involving Windows/NTFS alternate-stream path-boundary handling. The disclosure date and no-response review date are stated; technical details are withheld.

These are public disclosure-lane records. They are still sanitized: no reproduction steps, exploit code, raw logs, private correspondence, secrets, or target-specific mechanics.

Public-Safe Commitments

These are not full vulnerability disclosures. They are public-safe notices that evidence is retained and that technical details are withheld for an authorized security responder.

Rules We Follow

  • New items with retained evidence start in the public-safe commitment lane.
  • Private email is no longer the default prerequisite for visibility; it may still be used for an authorized responder route or follow-up when that route is clearly workable.
  • Commitment records are priority and evidence-integrity records, not vulnerability advisories, exploit claims, or vendor validation claims.
  • A commitment can be promoted to a sanitized disclosure record only after separate review clears that step.
  • Historical disclosure records may preserve earlier email/no-response timelines from the prior workflow.
  • Public notes stay non-actionable: no reproduction steps, exploit code, private correspondence, secrets, tokens, raw logs, local paths, or target-specific mechanics.
  • Public records are not claiming attacker or untrusted control, current-version reachability, exploitability, severity, security effect, remediation status, or vendor validation. Reproducible vulnerable behavior is not proven in public records unless an individual record explicitly says otherwise.
  • Unvalidated or partly validated work is labelled with its limits.
  • Human review is required before technical details or stronger claims are published.

What Is Visible Here

  • Sanitized public disclosure markdown files.
  • Public-safe commitment markdown files.
  • A public-safe source-ledger summary.

Current Machine-Readable State

  • data/finding_index.jsonl contains 2 sanitized disclosure records.
  • data/commitment_index.jsonl contains 2 public-safe commitment records.
  • data/source_ledger_index.jsonl contains 1 public-safe ledger summary row.
  • No private mirrors are included in this upload.

Repository

Dataset page: https://huggingface.co/datasets/cjc0013/responsible-disclosure-evidence-index

Generated UTC: 2026-06-15T18:36:33+00:00

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