README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: title
      dtype: string
    - name: description
      dtype: string
    - name: cpes
      sequence: string
    - name: cvss_v4_0
      dtype: float64
    - name: cvss_v3_1
      dtype: float64
    - name: cvss_v3_0
      dtype: float64
    - name: cvss_v2_0
      dtype: float64
  splits:
    - name: train
      num_bytes: 339786436.3812975
      num_examples: 523403
    - name: test
      num_bytes: 37754120.618702486
      num_examples: 58156
  download_size: 145858329
  dataset_size: 377540557
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Sources of the data

• CVE Program (enriched with data from vulnrichment and Fraunhofer FKIE)
• GitHub Security Advisories
• PySec advisories
• CSAF Red Hat
• CSAF Cisco

Extracted from the database of Vulnerability-Lookup.
Dumps of the data are available here.

Query with datasets

import json
from datasets import load_dataset

dataset = load_dataset("CIRCL/vulnerability-scores")

vulnerabilities = ["CVE-2012-2339", "RHSA-2023:5964", "GHSA-7chm-34j8-4f22", "PYSEC-2024-225"]

filtered_entries = dataset.filter(lambda elem: elem["id"] in vulnerabilities)

for entry in filtered_entries["train"]:
    print(json.dumps(entry, indent=4))