[DATASET] Add dataset card
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README.md
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dataset_info:
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features:
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- name: id
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- split: test
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path: data/test-*
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---
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task_categories:
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- text-classification
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language:
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- en
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license: cc-by-4.0
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library_name: datasets
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tags:
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- vulnerability
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- cybersecurity
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- security
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- cve
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- mitre-attack
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- attack-techniques
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dataset_info:
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features:
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- name: id
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- split: test
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path: data/test-*
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---
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# vulnerability-attack-techniques
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This dataset maps **1,207 CVEs** to **MITRE ATT&CK (Enterprise) techniques**, joining
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hand-curated mappings from the [MITRE Center for Threat-Informed Defense (CTID)](https://ctid.mitre.org/)
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with vulnerability descriptions from
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[CIRCL/vulnerability-scores](https://huggingface.co/datasets/CIRCL/vulnerability-scores).
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It is intended for training and evaluating models that suggest candidate ATT&CK
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techniques from a vulnerability description: CVSS tells you *how bad* a
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vulnerability is, CWE *what kind of flaw* it is — ATT&CK tells defenders *what
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adversary behavior to expect and detect*.
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Every label in the `techniques` column was written by an analyst following the CTID
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["Mapping ATT&CK to CVE for Impact" methodology](https://github.com/center-for-threat-informed-defense/attack_to_cve/blob/master/methodology.md),
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which assigns each CVE up to three kinds of techniques: an **exploitation
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technique** (how it is exploited), a **primary impact** (what exploitation
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directly yields), and a **secondary impact** (what the attacker can do next).
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## Label sources
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| `label_sources` | CVEs | Origin |
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|-----------------|------|--------|
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| `ctid_cve` | 788 | [attack_to_cve](https://github.com/center-for-threat-informed-defense/attack_to_cve) (2021), ATT&CK v9 era |
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| `ctid_kev` | 392 | [Mappings Explorer](https://center-for-threat-informed-defense.github.io/mappings-explorer/) KEV mappings, ATT&CK 16.1 |
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| both | 27 | |
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All technique IDs are normalized to **enterprise ATT&CK v19.1**: techniques revoked
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since the original mappings are remapped to their successor via the STIX
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`revoked-by` relationships (e.g. T1562 *Impair Defenses* → T1685 *Disable or
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Modify Tools*), and Mobile/ICS techniques are dropped (enterprise domain only).
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## ⚠️ `techniques` vs `techniques_derived`
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The `techniques_derived` column contains labels from the automatically derived
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CVE → CWE → CAPEC → ATT&CK chain maintained by
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[CVE2CAPEC](https://github.com/Galeax/CVE2CAPEC). **Do not train on this
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column.** Analysis of the chain shows a median fan-out of 4–20 techniques per
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CVE and top-frequency techniques (e.g. T1574.007 on 53% of 2024 CVEs) that are
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artifacts of the cross-framework table expansion, not descriptions of real
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adversary behavior. The column is included as:
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1. a candidate prior at inference time (restrict suggestions to techniques compatible with the CWE chain);
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2. a baseline that a trained model must beat;
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3. a comparison column for studying where the deterministic chain diverges from analyst judgment.
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The full source analysis is documented in the
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[VulnTrain documentation](https://github.com/vulnerability-lookup/VulnTrain/blob/main/docs/attack-techniques-dataset.md).
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## Fields
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| Field | Type | Description |
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|-------|------|-------------|
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| `id` | string | CVE identifier |
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| `title` | string | Vulnerability title |
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| `description` | string | Vulnerability description in English (model input) |
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| `exploitation_techniques` | list[string] | CTID exploitation technique(s) |
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| `primary_impact` | list[string] | CTID primary impact technique(s) |
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| `secondary_impact` | list[string] | CTID secondary impact technique(s) |
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| `techniques` | list[string] | Union of all curated techniques — the training target |
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| `techniques_derived` | list[string] | CVE2CAPEC weak labels — **not** for training |
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| `label_sources` | list[string] | `ctid_cve` and/or `ctid_kev` |
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| `attack_version` | string | Enterprise ATT&CK version the IDs are normalized to |
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## Label statistics
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192 distinct techniques; 66 with at least 5 examples. Most CVEs carry 1–3
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techniques. Top techniques: T1190 *Exploit Public-Facing Application* (348),
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T1059 *Command and Scripting Interpreter* (262), T1203 *Exploitation for Client
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Execution* (213), T1068 *Exploitation for Privilege Escalation* (189).
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## Known limitations
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- **Size**: ~1,200 CVEs supports a proof-of-concept, not a production model.
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- **Selection bias**: both label sources over-represent exploited-in-the-wild
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vulnerabilities (the KEV set by construction).
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- **Inherent task ceiling**: a CVE description describes a flaw, while ATT&CK
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describes attacker behavior around it — even human annotators disagree on
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such mappings. Models trained on this data should *suggest candidate
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techniques for analyst review*, not produce authoritative mappings.
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("CIRCL/vulnerability-attack-techniques")
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for entry in dataset["train"].select(range(3)):
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print(entry["id"], entry["techniques"], "-", entry["description"][:80])
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```
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## Licensing of upstream sources
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The CTID mappings are Apache-2.0. Descriptions come from
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[CIRCL/vulnerability-scores](https://huggingface.co/datasets/CIRCL/vulnerability-scores)
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(CC BY 4.0). The `techniques_derived` column is derived from the GPLv3
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[CVE2CAPEC](https://github.com/Galeax/CVE2CAPEC) project. MITRE ATT&CK® is a
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registered trademark of The MITRE Corporation; ATT&CK content is used in
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accordance with the [MITRE ATT&CK terms of use](https://attack.mitre.org/resources/legal-and-branding/terms-of-use/).
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## References
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- [Vulnerability-Lookup](https://vulnerability.circl.lu) — the vulnerability data source
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- [VulnTrain](https://github.com/vulnerability-lookup/VulnTrain) — generation pipeline (`vulntrain-dataset-attack-generation`)
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- [Methodology documentation](https://github.com/vulnerability-lookup/VulnTrain/blob/main/docs/attack-techniques-dataset.md)
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- [MITRE CTID attack_to_cve](https://github.com/center-for-threat-informed-defense/attack_to_cve) and [Mappings Explorer](https://center-for-threat-informed-defense.github.io/mappings-explorer/)
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- [CVE2CAPEC](https://github.com/Galeax/CVE2CAPEC) by Galeax
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