---
configs:
- config_name: default
  data_files:
  - split: train
    path: "list.json"
- config_name: community
  data_files:
  - split: train
    path: "community/blocklist.json"
- config_name: active_domains
  data_files:
  - split: train
    path: "dns/active_domains.json"
- config_name: content_active
  data_files:
  - split: train
    path: "dns/content_active.json"
- config_name: dead_domains
  data_files:
  - split: train
    path: "dns/dead_domains.json"
- config_name: domains_csv
  data_files:
  - split: train
    path: "domains.csv"
tags:
  - phishing
  - cybersecurity
  - threat-intelligence
  - crypto-scam
  - blocklist
  - malware
  - fraud-detection
  - domain-security
license: mit
language:
  - en
task_categories:
  - text-classification
size_categories:
  - 100K<n<1M
pretty_name: "PhishDestroy - Real-time Phishing & Crypto Scam Domain Blocklist"
---

# PhishDestroy Blocklist Dataset

Real-time feed of phishing, crypto drainer, and scam domains detected by [PhishDestroy](https://phishdestroy.io).

**Updated hourly from GitHub.**

## Statistics

| Metric | Count |
|--------|-------|
| Total Domains | 216,914 |
| DNS Active | 133,513 |
| Content Active | 89,450 |
| Dead Domains | 83,339 |
| Community Blocklist | 1,115,875 |
| Added Today | 4 |
| Added This Week | 4 |

*Last updated: 2026-10-07 12:30 UTC*

## Files

| File | Description |
|------|-------------|
| `list.json` | Full domain list (JSON array) |
| `domains.txt` | Plain text, one domain per line |
| `urls.txt` | Full URLs with protocol |
| `domains.csv` | ML-ready CSV with metadata |
| `dns/active_domains.json` | DNS-verified active domains |
| `dns/content_active.json` | Domains with verified malicious content |
| `dns/dead_domains.json` | Inactive/dead domains |
| `dns/today_added.json` | New domains added today |
| `dns/week_added.json` | New domains this week |
| `community/blocklist.json` | Community-submitted blocklist |
| `community/live_blocklist.json` | Community verified live |

## Usage

### Python (datasets)

```python
from datasets import load_dataset

# Load full dataset
ds = load_dataset("phishdestroy/destroylist")

# Or load specific file
import json
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="phishdestroy/destroylist",
    filename="list.json",
    repo_type="dataset"
)
with open(path) as f:
    domains = json.load(f)
```

### Pandas

```python
import pandas as pd
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="phishdestroy/destroylist",
    filename="domains.csv",
    repo_type="dataset"
)
df = pd.read_csv(path)
print(df.head())
```

### curl

```bash
# Download domains list
curl -L https://huggingface.co/datasets/phishdestroy/destroylist/resolve/main/domains.txt

# Download as JSON
curl -L https://huggingface.co/datasets/phishdestroy/destroylist/resolve/main/list.json
```

## Links

- Website: [phishdestroy.io](https://phishdestroy.io)
- API: [api.destroy.tools](https://api.destroy.tools)
- GitHub: [github.com/phishdestroy/destroylist](https://github.com/phishdestroy/destroylist)
- AlienVault OTX: [OTX Pulse](https://otx.alienvault.com/pulse/69c081afa2bd54a9599b7c07)

## License

MIT License - Free for commercial and non-commercial use.

## Citation

```bibtex
@dataset{phishdestroy_blocklist,
  title = {PhishDestroy Blocklist},
  author = {PhishDestroy Team},
  year = {2024},
  url = {https://huggingface.co/datasets/phishdestroy/destroylist}
}
```