| ---
|
| language:
|
| - en
|
| license: cc-by-4.0
|
| task_categories:
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| - text-classification
|
| - question-answering
|
| tags:
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| - threat-intelligence
|
| - cve
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| - vulnerability-management
|
| - risk-management
|
| - nvd
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| - cisa-kev
|
| - b2b
|
| size_categories:
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| - 1K<n<10K
|
| ---
|
|
|
| # CVE Security Intelligence Stream
|
|
|
| **Enterprise-grade CVE feed for Threat Intelligence and Risk Management teams.**
|
|
|
| Incremental CVE records from NVD API 2.0 enriched with CISA Known Exploited Vulnerabilities (KEV) metadata. Normalized for LLM SFT/RAG.
|
|
|
| ---
|
|
|
| ## B2B Value Proposition
|
|
|
| This dataset is built for **security vendors, MSSPs, and enterprise SOC/GRC teams** who need:
|
|
|
| | Use case | What you get |
|
| |----------|----------------|
|
| | **Threat Intel enrichment** | CVSS severity, affected software, exploit availability per CVE |
|
| | **Risk prioritization** | CISA KEV flags + CVSS scoring for patch-or-defer decisions |
|
| | **Exposure management** | Structured `affected_software` fields mapped from NVD CPE + KEV |
|
| | **LLM / RAG pipelines** | Clean JSONL rows ready for embedding, summarization, and alert triage |
|
|
|
| **Integrate in minutes** — each record is a self-contained JSON object with stable keys.
|
| No scraping, no NVD rate-limit handling, no ETL maintenance on your side.
|
|
|
| ---
|
|
|
| ## Live Dataset Statistics
|
|
|
| | Metric | Value |
|
| |--------|------:|
|
| | **Total CVE records** | 91 |
|
| | **Critical + High severity** | 54 |
|
| | **CISA KEV (actively exploited)** | 0 |
|
| | **Exploit available / in-the-wild** | 1 |
|
| | **Average CVSS score** | 7.68 |
|
| | **Last updated (UTC)** | 2026-06-07T19:57:39.233203+00:00 |
|
|
|
| ### Top affected software (sample)
|
|
|
| | Software | CVE count |
|
| |----------|----------:|
|
| | Google Chrome | 69 |
|
| | Linux Linux Kernel | 37 |
|
| | Apple Macos | 34 |
|
| | Samsung Android | 8 |
|
| | Microsoft Windows | 6 |
|
|
|
| ---
|
|
|
| ## Record Schema (JSONL)
|
|
|
| Each line is one valid JSON object:
|
|
|
| ```json
|
| {
|
| "id": "CVE-2024-1234",
|
| "timestamp": "2026-06-06T12:00:00.000",
|
| "data_value": "Vulnerability description…",
|
| "cvss_score": 9.8,
|
| "cvss_severity": "CRITICAL",
|
| "affected_software": ["Vendor Product"],
|
| "exploit_available": true,
|
| "kev_listed": false,
|
| "cwes": ["CWE-79"],
|
| "published": "…",
|
| "last_modified": "…",
|
| "references": ["https://…"],
|
| "source": "nvd+cisa_kev"
|
| }
|
| ```
|
|
|
| ---
|
|
|
| ## Data Sources
|
|
|
| - [NVD API 2.0](https://nvd.nist.gov/developers/vulnerabilities)
|
| - [CISA Known Exploited Vulnerabilities Catalog](https://www.cisa.gov/known-exploited-vulnerabilities-catalog)
|
|
|
| **Update cadence:** every 7–15 minutes (CVE List); pipeline polls every 15 min
|
|
|
| ---
|
|
|
| ## Quick Start
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| ds = load_dataset("FXBIA/cve-intelligence-stream", data_files="data/cve_intelligence.jsonl", split="train")
|
|
|
| critical = [r for r in ds if r["cvss_severity"] == "CRITICAL"]
|
| exploitable = [r for r in ds if r["exploit_available"]]
|
| print(f"Critical: {len(critical)}, Exploitable: {len(exploitable)}")
|
| ```
|
|
|
| ---
|
|
|
| ## Contact & Licensing
|
|
|
| Derived from U.S. Government NVD and CISA open feeds.
|
| Maintained by automated Threat Intelligence pipeline (`datasetagent`).
|
|
|
| For commercial integration, API feeds, or private deployment — open an issue on the dataset repo.
|
|
|
