attack-cves-data / README.md
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metadata
license: openrail
dataset_info:
  features:
    - name: instruction
      dtype: string
    - name: input
      dtype: string
    - name: output
      dtype: string
  splits:
    - name: train
      num_bytes: 264800612
      num_examples: 238994
  download_size: 87762052
  dataset_size: 264800612
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for Dataset Name

The dataset combines information from MITRE ATT&CK (Adversarial Tactics, Techniques, and Common Knowledge) and CVE (Common Vulnerabilities and Exposures) to provide a comprehensive resource for training language models on cybersecurity concepts and vulnerabilities.

Dataset Details

Dataset Description

Each entry in the dataset typically includes:

  • MITRE ATT&CK tactics and techniques
  • CVE identifiers and descriptions
  • Relationships between ATT&CK techniques and CVEs
  • Additional metadata relevant to cybersecurity analysis

Dataset Sources [optional]

Mitre Att&ck: (https://github.com/mitre/cti/raw/master/enterprise-attack/enterprise-attack.json)[https://github.com/mitre/cti/raw/master/enterprise-attack/enterprise-attack.json]

Mapping CVE-Attack: [https://center-for-threat-informed-defense.github.io/mappings-explorer/external/cve/]

CVEs:: [https://www.cve.org/downloads]

Uses

This dataset is provided to facilitate llama finetuning with MITRE information.

Who are the source data producers?

All data come from MITRE public resources (see sources). Data may be outdated, please note that this is not a MITRE associated project.

More Information [optional]

[More Information Needed]