---
license: cc0-1.0
tags:
- security
- cybersecurity
- cve
- cisa
- kev
- nvd
- parquet
- rag
- public-domain
pretty_name: CVE-KEV Snapshot (2025-09-04)
viewer: true
configs:
- config_name: preview
  data_files:
  - split: train
    path: parquet/preview.parquet
- config_name: cve
  data_files:
  - split: train
    path: parquet/cve.parquet
- config_name: nvd_meta
  data_files:
  - split: train
    path: parquet/nvd_meta.parquet
- config_name: kev
  data_files:
  - split: train
    path: parquet/kev.parquet
- config_name: edges
  data_files:
  - split: train
    path: parquet/edges.parquet
- config_name: rag_meta
  data_files:
  - split: train
    path: rag/meta.parquet
- config_name: rag_mapping
  data_files:
  - split: train
    path: rag/mapping.parquet
---

## CVE-KEV Snapshot (one-time, offline bundle)

This bundle lets you rank likely exploited CVEs and cite official sources without any APIs or accounts, fully offline. It’s a one-time snapshot of the last 90 days of NVD, aligned with CISA KEV for immediate focus on likely exploited CVEs. Query-ready Parquet tables and an optional small RAG pack let you rank by severity, pivot by CWE, and fetch references for briefings. Every row includes provenance; validation metrics and an integrity manifest are included. The compiled dataset is dedicated to the public domain (CC0).

## Quick start (60 seconds)

- Open `demo/OVX_quickstart.html` (no network) or [demo/OVX_quickstart.ipynb](demo/OVX_quickstart.ipynb).
- Or run this DuckDB query for top KEV CVEs by severity:
```sql
SELECT c.cve_id, m.cvss_v3_score, k.date_added
FROM read_parquet('parquet/kev.parquet') k
JOIN read_parquet('parquet/cve.parquet') c USING (cve_id)
LEFT JOIN read_parquet('parquet/nvd_meta.parquet') m USING (cve_id)
ORDER BY (m.cvss_v3_score IS NULL) ASC, m.cvss_v3_score DESC, k.date_added DESC
LIMIT 20;
```

## Snapshot

- Snapshot as of (UTC): 2025-09-05T02:12:27Z
- NVD window (days): 90

## Accuracy at a glance

- Total CVE rows: 11,344
- Total KEV rows: 27
- Artifacts: [Validation Report](docs/VALIDATION.json) · [Integrity Check](docs/INTEGRITY.txt) · [Build Manifest](docs/BUILD_MANIFEST.json)  
  - KEV is window‑aligned; within‑window coverage = 1.0 by design. See `docs/VALIDATION.json` for `kev_rows_total_fetched`, `kev_rows_within_window`, `kev_rows_filtered_out`, and `kev_within_window_over_global_ratio`.

## Contents

- `parquet/`: `cve.parquet`, `nvd_meta.parquet`, `kev.parquet`, `edges.parquet`, `preview.parquet` (~1000 CVEs; see preview criteria)
- `rag/` (optional): `index.faiss`, `meta.parquet`, `mapping.parquet`, `vectors.npy`
- `docs/`: `LICENSES.md`, `LICENCE.md` (CC0 legal code), `NOTICE.md`, `INTEGRITY.txt`, `VALIDATION.json`, `BUILD_MANIFEST.json`
- `demo/`: `OVX_quickstart.ipynb`, `OVX_quickstart.html`

## RAG note

Optional RAG pack built from PD/CC0 text using `BAAI/bge-small-en-v1.5` (384‑dim), normalized vectors with inner product (cosine) similarity. Retrieval is offline-only; query embedding requires the model to be already cached locally.

## Preview parquet

- [parquet/preview.parquet](parquet/preview.parquet) is a convenience subset for quick inspection.
- Selection: first 1000 rows by `cve_id` ordering from `parquet/cve.parquet`.
- Columns: `cve_id`, `summary`, `published_date`, `modified_date` (when available); falls back to a best‑effort subset if needed.

## Validation, integrity, build metadata

- `docs/VALIDATION.json` includes: counts, `cvss_v3_presence_ratio`, `cwe_presence_ratio`, `kev_cve_coverage_ratio`, `kev_cve_coverage_ratio_within_window`, `kev_rows_total_fetched`, `kev_rows_within_window`, `kev_within_window_over_global_ratio`, `rejected_cve_count`, `url_shape_failures`, `http_head_failures_hard`, `http_head_failures_flaky`, `dead_reference_links`, `duplicate_edges_dropped`, `snapshot_as_of`.
- URL checks (if present) were executed conservatively with a single worker.
- Verify integrity locally:
  - macOS: `shasum -a 256 -c docs/INTEGRITY.txt`
  - Linux: `sha256sum -c docs/INTEGRITY.txt`
- Build metadata (transparency): see `docs/BUILD_MANIFEST.json` for snapshot parameters (timestamp, NVD window, tool/version info, internal commit/config). Provided for transparency; the build system is not included.

## Storage and performance

- Parquet compression: `snappy`.
- Disk footprint varies by window size; see file sizes before downloading.

## Limitations

- Some CVEs may lack CVSS vectors/scores within the window (nulls are expected).
- URL checks are conservative and may still include dead/redirected links; verify with official sources.
- KEV rows are filtered to the NVD window; counts reflect in‑window coverage, not global totals.

## Usage

- DuckDB
```sql
SELECT c.cve_id, m.cvss_v3_score, k.date_added
FROM read_parquet('parquet/kev.parquet') k
JOIN read_parquet('parquet/cve.parquet') c USING (cve_id)
LEFT JOIN read_parquet('parquet/nvd_meta.parquet') m USING (cve_id)
ORDER BY (m.cvss_v3_score IS NULL) ASC, m.cvss_v3_score DESC, k.date_added DESC
LIMIT 20;
```

- Python (Pandas)
```python
import pandas as pd
k = pd.read_parquet('parquet/kev.parquet')
c = pd.read_parquet('parquet/cve.parquet')
m = pd.read_parquet('parquet/nvd_meta.parquet')
df = k.merge(c, on='cve_id').merge(m[['cve_id','cvss_v3_score']], on='cve_id', how='left')
print(df.head())
```

- Python (Polars)
```python
import polars as pl
k = pl.read_parquet('parquet/kev.parquet')
c = pl.read_parquet('parquet/cve.parquet')
m = pl.read_parquet('parquet/nvd_meta.parquet').select('cve_id','cvss_v3_score')
df = k.join(c, on='cve_id').join(m, on='cve_id', how='left')
print(df.head())
```

## Non-affiliation and licensing

- Not affiliated with NIST/NVD, CISA/KEV, or FIRST/EPSS.
- NVD non-endorsement: "This product uses data from the NVD API but is not endorsed or certified by the NVD."
- Compiled artifact dedicated to the public domain under CC0 1.0 (see `docs/LICENCE.md`).
- Upstream sources: NVD (public domain), CISA KEV (CC0). Linked third‑party pages (vendor advisories, blogs, etc.) are governed by their own terms.

## Citation

If you use this snapshot, please cite:
```
"CVE-KEV Snapshot (${snapshot_as_of})", CC0-1.0, https://huggingface.co/datasets/NostromoHub/cve-kev-snapshot-90d-2025-09-04
```