Open_Ultra_SAST/benchmarks/push

Reproducible push evaluation inputs

inputs.json schema 1 declares 11 cases and 9 snapshots before any new scanner run. Run .venv/bin/python -m openultrasast.push_inputs benchmarks/push/inputs.json. It is offline by default, even if the ordinary repository network environment variable is set. --fetch explicitly permits the existing repository resolver to fetch missing pinned commits. No project scripts, npm installation, or scanner are executed. Nonzero exit means at least one case has invalid input or an explicit missing prerequisite; the complete population stays in JSON.

Each snapshot references an existing repository recipe (with an optional full commit override), plus a census of readable witness/context/license blobs. The commit identifies the whole tree; the file list is provenance evidence, not an analysis scope or graph allowlist. Future replay must materialize the pinned tree and apply declared authored edits before the ranker chooses scope. Bytes come from git cat-file at the full SHA rather than the mutable cached working tree. SHA-256 and byte length are checked for every listed blob. An authored replacement must match exactly once, declare provenance, and verify both the original and resulting identity.

PMPro uses upstream 2.9.7 and 2.9.8. Its SQL query changes from interpolation to $wpdb->prepare. The introducing replay reverses the reviewed pair; it does not claim that 2.9.7 historically introduced the CVE. NodeGoat's contribution handler evaluates three request fields before numeric validation. Its authored repair replaces these eval calls with Number, eliminating JavaScript execution; it is not represented as an upstream security fix or a comprehensive numeric-validation repair. Its commented tutorial repair remains unchanged. Existing injection facts include JavaScript eval; actual frontend, ranker and arbiter behavior remains to be measured.

Both benign variants change only a comment on the vulnerable base. They mean no new defect, not repository-clean, and deliberately retain backlog to test whether the hook becomes a nag. The PMPro source pair is GPL-2.0; NodeGoat is Apache-2.0. Only hashes and small authored edit instructions are stored here; repository source stays in the external opt-in cache.

Ghost is reserved independently for its production Node API, CommonJS module boundaries and async endpoint methods, with public reviewable history at https://github.com/TryGhost/Ghost/security/advisories. The pin declares Ghost 6.64.0-rc.0 and Express 4.22.2. It does not establish ESM or Express 5 coverage. Selection inspected only the manifest, license and endpoint shape, not scanner results. Their source bytes were read at the pinned raw GitHub URLs and hashed; the offline validator still requires Git object availability. Its supported-family positive/fixed/benign population must be independently reviewed and frozen before scanning. If inspected results inform tuning, retire its holdout status. No reserved security case is silently inferred from the existence of an advisory.

All capabilities remain experimental: NodeGoat is inspected transfer/development data and cannot qualify production Node support; Node evidence cannot qualify PHP or Python. Independent PHP and Python populations are explicitly missing in capability_prerequisites. VAmPI retains all three known targets (including SQLI), with vulnerable=1; these snapshot regressions are not paired pushes. Libpng is an envelope/unsupported-arithmetic control, not a detection success or a supported miss. The validator makes no finding, precision, recall, silence, latency or admission claim.

Frozen diagnostic scoring (task 1.3)

push_scoring consumes recorded execution evidence; it does not run the scanner or implement push delta/admission policy. Freeze the workload and expected configuration before executing it:

.venv/bin/python -m openultrasast.push_scoring freeze benchmarks/push/inputs.json benchmarks/push/diagnostic-config-v1.json > /tmp/profile.json
.venv/bin/python -m openultrasast.push_scoring score /tmp/profile.json benchmarks/push/input-validation.json benchmarks/push/unmeasured-run-v1.json

The committed v1 profile reserves the 11 declared cases and exact tip target locations. It is a proposed 30-second evidence-mode experiment, not measured performance. The unmeasured-run-v1.json deliberately contains no executions: scoring it exits 1, retains all 11 unresolved cases, and earns no recall, coverage or admission. An invalid profile/runtime identity exits 2. A fully resolved diagnostic score exits 0; that exit status is not capability admission. Freeze a new version when configuration, source manifest, core, facts, query semantics or scope changes; do not edit a measured profile to match later execution. Runtime context must record the actual values, not merely copy an expected profile hash. Profiles are content identities, not signatures.

Each records entry supplies case_id, actual ranking_mode, rank (or null), exact selected/deferred question IDs, queries, alerts, delta, coverage, cache_state and nonnegative elapsed timings including total. Cache states distinguish cold, warm_changed and identical_tip; stage costs remain beside each outcome. Queries supply id, status and outcome. A positive needs a finding with the exact frozen site and family, a supported rung, and a nonempty actual witness. A transitive claim additionally needs a recorded origin and ordered flow from that region to the frozen target's path/function. Missing rank never proves transitivity. Negative answers require the exact target and a witnessed discharge; empty/failed queries cannot earn fixed-side silence. These checks establish evidence association, not the truth of an arbitrary supplied witness: use engine output and review the attribution.

Alerts are separate from raw findings. Only reviewed actionable_true alerts with review_evidence, question_id and exact site association can contribute precision; unreviewed/wrong-target alerts remain in its denominator. Benign comment changes retain vulnerable backlog, so a raw positive is not automatically a new alert. The scorer consumes a recorded delta; task 5.1 supplies replay, and the policy tasks establish it.

Reports retain unresolved cases, sample counts, Wilson intervals, separate regression results, per-capability metrics, coverage and cold/warm latency. Missing benign runs have unknown interruption rate. VAmPI's readable regression may be measured while independent admission prerequisites remain missing. Unsupported/unreviewed populations stay visible. All results remain experimental pending the later joint admission gate.

First full replay experiment (task 5.2)

measure.py runs the six prepared PMPro/NodeGoat security, fixed and benign cases through the production ousast pre-push CLI. It does not supply a hand-selected source slice or regions. The complete 11-case population remains in the scorer; Ghost is not scanned, and the separate VAmPI/libpng populations are retained as unexecuted regression/envelope evidence rather than being silently dropped.

Build the local image first, then run with a writable output parent and the existing repository-object cache mounted read-only:

docker run --rm --network none --memory 3g --entrypoint python \
  -v "$PWD:/context:ro" \
  -v "$HOME/.cache/openultrasast/repos:/cache:ro" \
  -v /path/to/output-parent:/results \
  openultrasast:dev /context/benchmarks/push/measure.py \
  --manifest /context/benchmarks/push/inputs.json --cache /cache --out /results/new-run

The output directory must not already exist. Input validation opens and verifies pinned source/license blobs before any measurement. A private bare Git repository reads the existing objects and creates reproducible authored commits using only the specified edits. Every other tracked blob remains in the tree; the cache's files, index and refs are unchanged. No project code, package installation or network is used.

profile.json is written before the first replay. PMPro runs first, followed by an explicit freeze-after-pmpro.json checkpoint and Node with identical installed core, facts, queries and policy. Both analysis and cancellation allowances stay 30 and 2 seconds. Whole CLI elapsed time, separate available stage costs, exact input pins, source byte counts, selected/deferred identities, raw artifacts, process exits and terminal output remain available. rank denotes an observed selected-question position; an unlocated/unselected target retains null. A completed empty query cannot earn a witnessed negative or fixed-side silence. No transitive path is fabricated from rank.

scorecard.json uses the existing frozen-population scorer. decision.json explicitly returns NO-GO because this initial cold diagnostic does not qualify independent capabilities or prove joint quality and warm latency. Exit 1 with a completed decision.json means measured NO-GO; a traceback without that completion record is a failed instrument. Zero CLI exit means advisory allow, never complete analysis. Missing artifacts and unanswered questions remain errors/unresolved, not clean results.

Cold here means no persisted graph/query/comparison reuse; filesystem caches are not flushed. Six one-shot runs are diagnostic samples, not representative warm p95 evidence. Normal capabilities remain disabled, so zero alerts do not establish precision or useful recall. A separately named longer lab run may obtain witnesses, but cannot replace the 30-second measurements or satisfy the hook's latency gate.

Group 6 reuse correctness control

reuse_control.py creates an isolated, authored JavaScript history and invokes the packaged replay command for a cache-populating run, a 30-second identical-revision run, an uncached control, and dependency/one-function edits. It retains every artifact and checks equal evidence and current admission for compatible completed questions. This is development control data, not the untouched eligibility population or the representative warm p95 gate.

docker run --rm --network none --memory 3g \
  -v /path/to/empty/results:/results \
  -v "$PWD/benchmarks/push/reuse_control.py:/control.py:ro" \
  --entrypoint python openultrasast:dev /control.py --out /results

The output directory must be empty and writable by the image's nonroot user. Cold runs use a 600-second laboratory budget; the identical-revision and changed-code controls retain the 30-second deadline and 2-second cancellation allowance. Default normal capabilities remain empty. A passing reuse control cannot authorize rollout or turn unresolved coverage into clean analysis; groups 7–8 still own the real interface and joint evaluation.

Frozen runtime feasibility (task 8.2)

feasibility.py prepares a full pinned NodeGoat history in a private bare repository, verifies the declared source/license blobs, and freezes 21 transactions before any scanner invocation: three each of identical-tip, function edit, dependency edit, configuration edit, cold, 100-module growth and multi-ref workloads. Each changed-code repetition has distinct content. It invokes the production CLI through trace_cli.py, which records engine-process durations and exit receipts without changing analysis. Frontend, overlay, census and query costs remain separate. A 600-second priming attempt is outside the gate population; each measured transaction retains the 30+2-second budget. An incomplete priming run does not establish warm graph reuse.

docker run --rm --network none --memory 3g --entrypoint python \
  -v "$PWD:/context:ro" \
  -v "$HOME/.cache/openultrasast/repos:/cache:ro" \
  -v /absolute/writable/results:/results \
  openultrasast:dev /context/benchmarks/push/feasibility.py \
  --manifest /context/benchmarks/push/inputs.json --cache /cache --out /results/new-feasibility

The output directory must not exist. profile.json records the planned commits, source byte receipt, installed semantics, CPU information/affinity and container memory limit. Every run retains the full artifact, stdout/stderr, process-stage receipts and measurement. scorecard.json retains missing runs and timeouts in the declared population, reports nearest-rank p50/p95 with sample counts, and never treats no answers as complete. Exit 1 with a complete scorecard is measured NO-GO; a missing scorecard is an instrument failure. Three samples per workload on development NodeGoat cannot independently qualify a production language/framework/family or establish broad multi-project performance.

M1a recorded-veto diagnosis (task 9.2)

m1a_record_vetoes.py replays the pinned NodeGoat vulnerable, fixed and unchanged revisions through the production ousast pre-push --base/--head command under --experimental-record-vetoes. The flag records each comparison and admission veto per raw finding instead of applying it; it is off by default, refused in Git stdin mode, and enables no hook capability. Expected operation and outcome for all three comparisons are written to m1a-record.json before the first scan.

docker run --rm --network none --memory 3g --entrypoint python \
  -v "$PWD:/context:ro" \
  -v "$HOME/.cache/openultrasast/repos:/cache:ro" \
  -v /absolute/writable/results:/results \
  openultrasast:dev /context/benchmarks/push/m1a_record_vetoes.py \
  --manifest /context/benchmarks/push/inputs.json --cache /cache \
  --out /results/new-m1a --deadline 900

The output directory must not exist. --deadline is an explicitly named development budget: it obtains witnesses and cannot satisfy or measure the 30-second hook latency gate. Each case retains the full artifact, stdout/stderr, exact base/head pins, source byte receipts and the partition census. The record states, per case, the expectation declared beforehand against the observed outcome, and for every finding the exact list of vetoes that fired with whether each was recorded or still applied.

Exit 0 requires the raw witness present on the vulnerable revision, the fixed twin genuinely analyzed and quiet, the unchanged revision analyzed and not reported as a new regression, and a recorded evaluation for all three. A timed-out or unanalyzed fixed twin fails M1a and triggers the milestone's kill criterion; silence is never a pass. Lifted vetoes are diagnostic only. This run admits no defect, enables no capability, and cannot qualify Node, PHP or Python.

Capability qualification (task 8.3)

The same measure.py replay instrument accepts --selection development (the six PMPro/NodeGoat changes), --selection regression (three VAmPI targets), or --selection envelope (libpng). Each profile retains the full declared population. Readable regression snapshots may execute while their missing independent evaluation prerequisites remain unresolved. --deadline 600 --cache-dir /results/lab-cache is a separately frozen laboratory experiment, never a replacement for the 30-second hook profile. A ranked or directly detected VAmPI target does not prove a transitive path.

qualify_registry.py --evidence DIR --runtime SCORECARD --out NEW_FILE recomputes eligibility from the frozen profile, validated inputs, actual run and runtime scorecard. Without --declarations it creates explicitly unreviewed, experimental declarations. A reviewed declaration must match its frozen capability key, operation symbols, advice, review identity, untouched workload and exact installed analysis semantics; all quality, completion and runtime gates must pass. Synthetic positive controls in the unit suite verify this contract and do not qualify real capabilities.

The installed openultrasast/push/eligibility.json is a trusted release input, not repository configuration. The runner recomputes its decision and rejects stale or modified evidence. This integrity check is not a cryptographic reviewer signature. The versioned NO-GO registry enables no capability. Regenerate evidence after changes to core, engine, facts, queries, policy or semantics; do not relabel old measurements.

Packaged acceptance smoke (task 8.4)

After rebuilding the image with its installed eligibility resource, run:

docker run --rm --network none --entrypoint python \
  -v "$PWD:/context:ro" -v /absolute/writable/results:/results \
  openultrasast:dev /context/benchmarks/push/package_smoke.py \
  --out /results/new-package-smoke --ops /context/ops

This smoke verifies packaged CLI startup, the installed reproducible NO-GO registry, non-overwriting installation, exact prior-hook stdin/remote arguments, accept/reject behavior and explicit removal in disposable Git repositories. Its 0.1-second deadline intentionally exercises unavailable coverage, not vulnerability detection. No hook is installed in this project. Run measure.py separately on the final image for the full supported security/fixed/benign workload, preserving its real partial outcomes. The artifact and .kiro/specs/pre-push-safety-net/validation-group-8.md distinguish working integration from the remaining NO-GO quality/runtime prerequisites.