Are you going to use a discrete tag or something for the exposure of medium sensitive data (emails) vs higher (crackable passwords or passwords)? An industry standard sensitivity taxonomy based on your data set would be very useful
Just blogged: Data Enrichment, People Data Labs and Another 622M Email Addresseshttps://troy.hn/2OesvdH
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No plans at this stage, can you tell me more about how that would help you? There’s a UserVoice here if you’re keen: https://haveibeenpwned.uservoice.com/forums/275398-general …
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I signed up for an API key for PDL. This looks like a really crappy data set, pretty much an old copy of public LinkedIn info. Nothing to see here. I queried a few emails associated with FB/Twit, nada
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Here's hoping the next round of data privacy legislation includes lengthy mandatory prison time for executives of these companies.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Another 622 million. Sigh. It's getting so we should get an email when we DON'T get pwned.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Signing up for an API key gives an error and their contact form is intentionally or accidentally down. No recourse...
pic.twitter.com/FvPM5TgzNQ
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That had my unique LinkedIn email address in it that hasn't been current since 2017 and was included in the prior LinkedIn breach. Nothing recent of mine has been included in this (yet).
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Good share and good job!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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