Datasets:

phishdestroy
/

destroylist

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.

Updated hourly from GitHub.

Statistics

Metric	Count
Total Domains	216,641
DNS Active	132,468
Content Active	89,450
Dead Domains	83,334
Community Blocklist	1,115,343
Added Today	4
Added This Week	4

Last updated: 2026-10-07 07:30 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)

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

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

# 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

License

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

Citation

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