PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
Paper • 2507.10854 • Published • 3
Datasets:
sha256 large_stringlengths 64 64 | url large_stringlengths 15 1.28k | label large_stringclasses 2
values | target large_stringclasses 185
values | date large_stringdate 2024-07-01 00:00:00 2025-01-02 00:00:00 | lang large_stringclasses 53
values | lang_score float64 -1 1 | html large_stringlengths 96 11.9M |
|---|---|---|---|---|---|---|---|
9aca4a5e5fd7b781005a913d6a94d35d366962b14275a0217bcb784102327785 | https://conisbseproszlogin.gitbook.io/us | phish | unknown | 2024-09-28 | en | 0.848 | <html lang="en" class="scroll-pt-[76px] plain-background light" style="color-scheme: light;"><head><meta charset="utf-8"><link rel="preconnect" href="https://api.gitbook.com"><meta name="viewport" content="width=device-width, initial-scale=1"><link rel="preload" as="image" imagesrcset="https://conisbseproszlogin.gitboo... |
84fb791a4a3ef0f0abcba9e60aa27fb8a2a03b15d99ee7693bf7de74a62514c6 | https://rakeshpandey12.github.io/facebook_loginpage_clone | phish | facebook | 2024-10-27 | en | 0.776 | <html lang="en"><head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="icon" type="image/x-icon" href="/assets/facebook-XhU6_W1M.png">
<title>facebook</title>
<link rel="stylesheet" crossorigin="" href="/assets/index-BzaJj-tv.css">
</head>
<bod... |
c7a7003c6bed8fc95d3b84f408fd4902ee8c54db8615fa561f15208a1d44ce6e | https://www.nibusinessinfo.co.uk/content/what-considered-personal-data-under-uk-gdpr | benign | null | 2024-09-04 | en | 0.835 | "<html lang=\"en\" dir=\"ltr\" prefix=\"content: http://purl.org/rss/1.0/modules/content/ dc: http:(...TRUNCATED) |
e7959779880ae8cd9720f8deeee07a0dc96c3cd113906b7f2b6ec727531028d0 | https://personnelchecks.squarespace.com/disclosure-scotland-checks | benign | null | 2024-07-30 | en | 0.8 | "<html xmlns:og=\"http://opengraphprotocol.org/schema/\" xmlns:fb=\"http://www.facebook.com/2008/fbm(...TRUNCATED) |
d2ad2574e7e0aeb2a9f77f19c14e186d5b36cc21081207fd3e67081ab1da4c98 | "https://www.msn.com/en-us/news/us/east-tennessee-population-boom-prompting-action-from-utility-dist(...TRUNCATED) | benign | null | 2024-08-11 | es | 0.725 | "<html lang=\"en-us\" dir=\"ltr\" data-clarity-unmask=\"true\"><head data-info=\"f:msnallexpusers,pr(...TRUNCATED) |
b90dbff345fee8548d1b8480e16c2f4ff5e313be7741441235b322cd6ca8303f | https://www.oilandgasiq.com/events-worldoffshoreweek/sponsors/m-i-swaco | benign | null | 2024-07-30 | en | 0.899 | "<html lang=\"en\" prefix=\"og: http://ogp.me/ns#\" class=\"h-100\"><head><meta http-equiv=\"origin-(...TRUNCATED) |
f1735e5937cce03730f9216d8ec79807bbbc11fbc38fb666ac1c915b5292d47a | https://huechura.web.app/ | phish | unknown | 2024-11-24 | es | 0.982 | "<html><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-widt(...TRUNCATED) |
a5add5ac4f71988dbec5f2728959348491df200fb1754de1d512ae04ab7fcbf7 | https://meta.com-case83993.com/ | phish | unknown | 2024-10-14 | en | 0.446 | "<html lang=\"en\"><head>\n <meta charset=\"UTF-8\">\n <link rel=\"icon\" type=\"image/svg+xml(...TRUNCATED) |
d782458f6ce25293299f9004376fb80a1444e8d719c3aa18f550174c47e6426b | https://banking.orangecountyscu.org/apps/occuolb | benign | null | 2024-08-21 | en | 0.799 | "<html lang=\"en\" class=\"async-hide fa-events-icons-loading\"><head>\n <!-- Optimize Page Hidin(...TRUNCATED) |
246381d956180d983d64f644a67e6171d305bcd3d177ab45607f2a25a7e7117e | https://www.mnc.toho-u.ac.jp/v-lab/shinkin/differ/differ-3-2.html | benign | null | 2024-07-30 | ja | 1 | "<html lang=\"ja\"><!-- InstanceBegin template=\"/Templates/shinkin2.dwt\" codeOutsideHTMLIsLocked=\(...TRUNCATED) |
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PhreshPhish
PhreshPhish is a large-scale, real-world dataset and benchmark for phishing webpage detection containing phishing and benign HTML-URL pairs.
Train 371,941 samples: 253,189 benign and 118,752 phish
Test 36,787 samples: 30,048 benign and 6,739 phish
Benchmarks 404 benchmarks with baserates ranging from
[5e-4, 1e-3, 5e-3, 1e-2, 5e-2]
Changelog
- v1.0.0 (2025-05-14): Initial release
Getting Started
from datasets import load_dataset
train = load_dataset('phreshphish/phreshphish', split='train')
test = load_dataset('phreshphish/phreshphish', split='test')
License & Terms of Use
The dataset is released under Creative Commons Attribution 4.0 International license and should only be used for anti-phishing research.
Citing
If you find our work useful, please consider citing.
Paper: PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
@article{dalton2025phreshphish,
title = {PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark},
author = {Thomas Dalton and Hemanth Gowda and Girish Rao and Sachin Pargi and Alireza Hadj Khodabakhshi and Joseph Rombs and Stephan Jou and Manish Marwah},
year = 2025,
journal = {arXiv preprint},
url = {https://arxiv.org/abs/2507.10854},
eprint = {2507.10854}
}
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