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text
string
label
int64
http://serviceoffer.gov/login
1
http://debitmail.me/profile
1
https://www.washingtonpost.com
0
http://netflixinvest.edu/dashboard
1
https://www.reddit.com
0
http://maildata.info/password
1
https://www.washingtonpost.com
0
https://www.twitter.com
0
https://www.slack.com
0
http://accountinstagram.info/login
1
https://www.nytimes.com
0
http://discountfinance.biz/secure
1
http://infosync.gov/login
1
http://storecrypto.edu/profile
1
https://www.washingtonpost.com
0
http://paypalspotify.biz/update
1
https://www.wellsfargo.com
0
https://www.nytimes.com
0
https://www.amazon.com
0
https://www.dropbox.com
0
http://walletservice.org/password
1
http://investdiscount.me/update
1
https://www.stackoverflow.com
0
https://www.linkedin.com
0
https://www.wellsfargo.com
0
https://www.amazon.com
0
https://www.github.com
0
https://www.amazon.com
0
https://www.spotify.com
0
http://instagramsupport.co/confirm
1
https://www.twitter.com
0
http://verifysecure.net/secure
1
https://www.github.com
0
https://www.linkedin.com
0
https://www.google.com
0
https://www.reddit.com
0
http://syncdiscount.gov/password
1
https://www.github.com
0
http://blogdiscount.co/update
1
https://www.stackoverflow.com
0
http://membershop.co/account
1
https://www.instagram.com
0
http://discountinstagram.gov/dashboard
1
http://servicecustomer.gov/verify
1
https://www.reddit.com
0
https://www.twitter.com
0
https://www.apple.com
0
http://shopdrive.me/reset
1
https://www.dropbox.com
0
https://www.nytimes.com
0
https://www.paypal.com
0
https://www.github.com
0
http://cloudtwitter.me/reset
1
https://www.airbnb.com
0
https://www.facebook.com
0
http://financeblockchain.net/update
1
https://www.youtube.com
0
http://facebookshop.edu/account
1
http://marketverify.co/reset
1
https://www.stackoverflow.com
0
https://www.stackoverflow.com
0
http://facebookconfirm.info/account
1
http://securebank.edu/profile
1
http://accountconfirm.me/login
1
https://www.washingtonpost.com
0
https://www.spotify.com
0
http://offershop.biz/dashboard
1
https://www.bbc.com
0
http://communityupdate.net/dashboard
1
http://updateinstagram.info/verify
1
http://servicepaypal.gov/verify
1
http://blogdiscount.io/verify
1
https://www.spotify.com
0
https://www.github.com
0
http://debitsecure.net/profile
1
https://www.paypal.com
0
http://backupsale.co/update
1
https://www.dropbox.com
0
https://www.amazon.com
0
http://storeamazon.biz/secure
1
https://www.etsy.com
0
https://www.wellsfargo.com
0
https://www.microsoft.com
0
http://offeramazon.edu/dashboard
1
https://www.dropbox.com
0
https://www.google.com
0
http://financeservice.io/login
1
https://www.facebook.com
0
http://dealcommunity.net/profile
1
https://www.linkedin.com
0
https://www.netflix.com
0
https://www.github.com
0
http://accountmicrosoft.info/profile
1
http://customercommunity.com/secure
1
https://www.twitter.com
0
http://spotifyapple.me/reset
1
https://www.youtube.com
0
http://facebookgoogle.net/login
1
http://membershop.io/profile
1
https://www.ebay.com
0
End of preview. Expand in Data Studio

Dataset for Detecting Phishing URLs

This dataset contains URLs labeled as 'Safe' (0) or 'Not Safe' (1) for phishing detection tasks.

Dataset Summary

This dataset contains URLs labeled for phishing detection tasks. It's designed to help train and evaluate models that can identify potentially malicious URLs.

Dataset Creation

The dataset was synthetically generated using a custom script that creates both legitimate and potentially phishing URLs. This approach allows for a controlled and balanced dataset while mimicking real-world URL patterns.

Tags

url, phishing, security

License

MIT

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