Datasetpublic

phishdestroy/destroylist

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 219,460 DNS Active 134,843 Content Active 89,450 Dead Domains 84,613 Community Blocklist 1,119,953 Added Today 4 Added This Week 4 Last updated: 2026-10-10 13:30 UTC Files File Description list.json Full domain list (JSON array)… See the full description on the dataset page: https://huggingface.co/datasets/phishdestroy/destroylist.

sourceHugging Facemitupdated 40m agoView on Hugging Face

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Dataset Card

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	219,460
DNS Active	134,843
Content Active	89,450
Dead Domains	84,613
Community Blocklist	1,119,953
Added Today	4
Added This Week	4

Last updated: 2026-10-10 13:30 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

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}
}