| --- |
| license: other |
| language: |
| - en |
| pretty_name: "CBEEG: Compute-Budgeted Exploitability Evidence Graphs" |
| tags: |
| - cybersecurity |
| - vulnerability-management |
| - cve |
| - exploit-prediction |
| - evidence-graph |
| - retrieval |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: cve_nodes |
| data_files: cve_nodes.parquet |
| - config_name: evidence_nodes |
| data_files: evidence_nodes.parquet |
| - config_name: candidates |
| data_files: candidates.parquet |
| - config_name: retrieval_edges |
| data_files: retrieval_edges.parquet |
| - config_name: cwe_nodes |
| data_files: cwe_nodes.parquet |
| - config_name: product_nodes |
| data_files: product_nodes.parquet |
| - config_name: metrics |
| data_files: metrics.parquet |
| --- |
| |
| # CBEEG — Compute-Budgeted Exploitability Evidence Graphs (derived artifacts) |
|
|
| Reproducible **derived** artifacts for the paper *Compute-Budgeted Exploitability |
| Evidence Graphs for Prospective Vulnerability Triage* (Alpay & Alpay). The paper |
| frames prospective CVE triage as a **leakage-safe, compute-budgeted evidence |
| selection** problem: for each CVE we admit only public evidence visible by a fixed |
| decision time, select a few documents under a budget, and attach an auditable |
| **evidence certificate** to every risk score. |
|
|
| These are the GB-scale outputs that do not fit in the paper's arXiv ancillary |
| bundle: bi-encoder embeddings, retrieval/rerank candidate edges, the temporal |
| evidence graph (node tables), 12,012 risk certificates, and the full metrics table |
| for the A–E experiment grid. The code lives with the paper; this repository holds |
| the data needed to reproduce every figure and number. |
|
|
| ## Files |
|
|
| | File | Rows / shape | Description | |
| |---|---|---| |
| | `cve_nodes.parquet` | 25,000 | CVE nodes: `cve_id, description, cwe_id, cvss_v3/v2/v4, severity, cve_year, published, decision_time, vendor, product, kev, kev_date_added, epss, epss_percentile, split` | |
| | `evidence_nodes.parquet` | 56,050 | Evidence corpus: `evidence_id, cve_id, source_layer, source, text*, timestamp, url, text_len, text_sha256` | |
| | `candidates.parquet` | 1,200,000 | Retrieved/reranked candidate edges: `cve_id, evidence_id, retrieval_score, rerank_score, source_layer, evidence_timestamp, decision_time, leak` | |
| | `retrieval_edges.parquet` | — | Selected edges with `selected`/`leak` flags | |
| | `cwe_nodes.parquet` | 420 | `cwe_id, name, n_cves` | |
| | `product_nodes.parquet` | 531 | `product_key, vendor, product, n_cves` | |
| | `certificates.jsonl` | 12,012 | One auditable evidence certificate per test CVE (nested `evidence[]` with layer, timestamp, score, leak flag) | |
| | `metrics.parquet` / `metrics.csv` | 489 | `experiment, setting, budget, split, metric, value` for the full A–E grid | |
| | `cve_emb.npy` | (25000, 768) | `e5-base-v2` CVE-description embeddings, L2-normalised float32 | |
| | `evidence_emb.npy` | (56050, 768) | `e5-base-v2` evidence embeddings, L2-normalised float32 | |
|
|
| `text*` is **redacted** for restricted source layers (see below). |
|
|
| ## How to load |
|
|
| ```python |
| import numpy as np, pandas as pd |
| from huggingface_hub import hf_hub_download |
| R = "Lightcap/cbeeg-evidence-graphs" |
| |
| cve = pd.read_parquet(hf_hub_download(R, "cve_nodes.parquet", repo_type="dataset")) |
| cand = pd.read_parquet(hf_hub_download(R, "candidates.parquet", repo_type="dataset")) |
| ev_emb = np.load(hf_hub_download(R, "evidence_emb.npy", repo_type="dataset")) |
| # certificates |
| import json |
| certs = [json.loads(l) for l in open(hf_hub_download(R, "certificates.jsonl", repo_type="dataset"))] |
| ``` |
|
|
| Or browse any table directly in the **Dataset Viewer** via the config dropdown. |
|
|
| ## Provenance |
| Built from public sources: CISA KEV, FIRST EPSS, NVD (publication dates), |
| `stasvinokur/cve-and-cwe-dataset-1999-2025`, `CIRCL/vulnerability-cwe-patch`, |
| `exploitintel/cve-cwe-consensus`, `iris-sast/CWE-Bench-Java`, and the HackerSignal |
| multi-source corpus (`DatasetSubmission/HackerSignal`). |
|
|
| ## Redaction & terms (important) |
| HackerSignal is released for **academic and defensive use only**. To respect its |
| terms, raw text from restricted layers (forum/discourse, exploit archives, fix |
| commits, advisories, CIRCL patches) is **redacted** here: we keep `evidence_id`, |
| `source_layer`, provenance, `timestamp`, `text_len`, and a truncated |
| `text_sha256`, plus the embedding vectors and scores — enough to reproduce every |
| number without redistributing the underlying corpora. Public NVD CVE/description |
| text (`source_layer = nvd_text`) is kept verbatim. To recover restricted text, |
| obtain the original datasets under their licenses and join on the provided |
| ids/hashes. |
|
|
| ## Intended use |
| Defensive vulnerability triage and reproducibility research only. Do **not** use |
| to build automated exploitation tooling, to operate a live threat feed, or to |
| de-anonymise forum authors. |
|
|
| ## Citation |
| ```bibtex |
| @misc{alpay2026cbeeg, |
| title = {Compute-Budgeted Exploitability Evidence Graphs for Prospective Vulnerability Triage}, |
| author = {Alpay, Faruk and Alpay, Taylan}, |
| year = {2026} |
| } |
| ``` |
|
|
