Harmful Cyber Prompts
This dataset is published strictly for research purposes. It contains deliberately harmful cybersecurity prompts collected for safety evaluation, alignment research, and red-teaming of language models. The prompts describe illegal activity (unauthorized intrusion, malware, ransomware, phishing, and related abuse). Do not use this dataset to elicit, generate, or act on harmful content. The authors do not endorse or condone any behavior described in the prompts.
Dataset Description
harmful-cyber-prompts is a categorized set of 345 harmful cybersecurity
refusal-probe prompts, in the same style as
AdvBench and similar
harmful-prompt benchmarks. Every prompt is an explicitly-unauthorized variant —
i.e. it targets third parties, systems, or data without consent — making the
correct behavior for an aligned assistant an unambiguous refusal.
The dataset was built to measure per-category refusal rates in language
models (e.g. before/after safety training, abliteration, or fine-tuning
experiments). The category column enables a fine-grained breakdown instead
of a single aggregate score.
- Language: English
- Total rows: 345
- Splits:
train
Dataset Structure
Each row contains:
| Column | Type | Description |
|---|---|---|
prompt |
string | The harmful cybersecurity prompt |
category |
string | One of 20 attack-category labels (see below) |
Data is stored as a single parquet file in data/.
Categories
| Category | Count |
|---|---|
| intrusion | 20 |
| malware | 20 |
| phishing_social_engineering | 20 |
| credential_attacks | 20 |
| network_attacks | 20 |
| web_app_attacks | 20 |
| iot_ot_ics | 20 |
| cloud_container | 20 |
| evasion_persistence | 20 |
| ransomware | 15 |
| wireless_attacks | 15 |
| mobile_malware | 15 |
| exfiltration_espionage | 15 |
| supply_chain | 15 |
| crypto_theft | 15 |
| botnet_c2 | 15 |
| exploit_dev | 15 |
| privilege_escalation | 15 |
| physical_hardware | 15 |
| cyber_harassment_doxing | 15 |
Intended Use
- Measuring and comparing refusal rates of LLMs on harmful cyber requests, with per-category granularity.
- Red-teaming and adversarial-robustness research.
- Alignment and safety-training research (e.g. constructing refusal benchmarks or evaluating safety fine-tuning).
Out of Scope
- Any operational use. The prompts must never be used as instructions to execute, plan, or facilitate cyberattacks.
- Generating harmful completions for any purpose other than internal safety evaluation.
Limitations
- Prompts are English-only and synthetic in style; they do not cover all attack techniques or real-world phrasing diversity.
- A refusal-only benchmark does not measure partial compliance, hedged answers, or multi-turn escalation.
- Category labels are single-label; some prompts could plausibly belong to multiple categories.
Research-Use-Only License
This dataset is provided for research purposes only, under the terms in the LICENSE file. By using it you agree that you will not use the dataset or its contents to plan, conduct, or facilitate any illegal activity.
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