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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 130,064
DNS Active 70,870
Content Active 68,844
Dead Domains 58,969
Community Blocklist 877,433
Added Today 4
Added This Week 4

Last updated: 2026-04-16 19:30 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

Links

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}
}
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