I was curious as to how much of this data had been seen in other breaches before and if there was an obvious trend. For example, is this largely just data from, say, the Collection 1 credential stuffing list I loaded early last year? Here's what I found after checking over 74k addresses:. There were a bunch of addresses in the Collection 1 incident and also in the 2, breach collection I added in Feb , but clearly based on the red "null" results there were also many new addresses. In other words, there were a substantial number of people who prior to loading this data, would get no hits when searching HIBP but had previously been in a breach.
Then there were the passwords. Eyeballing them, they're all the sorts of terrible passwords you'd expect most people to use. Passwords like "Ashtro", "Odette" and, perhaps unsurprisingly given the file I was looking at, "ilovechordie". Whilst many of the passwords I tested were terrible enough to have previously appeared in other data breaches and flowed through to Pwned Passwords , these three didn't exist there at all.
In fact, over 40M of them didn't exist at all. The passwords, however, do also pose a bit of a conundrum when parsing them out of thousands of separate files. Whilst many existed as credential pairs in the "Results.
So, thousands of files, different naming formats and whilst mostly consistent in terms of structure, inevitably there are some parsing issues in there. For example, this "password":. This would be an epic password if someone did in fact use it, but it's almost certainly an upstream parsing error.
Or take this password:. Yes, I can envisage someone using it on a website perhaps one related to cooking , but no, I don't believe it would have been used 6, times which is the number of occurrences that were found within the breach corpus. Interestingly, they were all sourced from "www. But neither of these data quality issues matter - here's why:.
When these passwords flow through into Pwned Passwords, they ultimately exist as hashes to be downloaded or queried using k-anonymity. Nobody is going to use the first password with all the HTML in it so it has no real world impact. Someone might feasibly try to use the second password and a service using HIBP's Pwned Passwords might then reject it due to its prevalence. I'm ok with that because it's not a good password! But what about hash collisions? Given the number of individual breaches, the legitimacy of the data plus the vast number of previously unseen email addresses and passwords, I've loaded it all into HIBP.
The lot - both emails and passwords note: these go in as separate archives and never as pairs, read more about Pwned Passwords here. As with other breaches without a single clear origin, this means that people may find themselves pwned and not know which service leaked their data.
It also means they may find their password breached and not know which service leaked it. Whether you are looking for Right Click Tools Enterprise to improve device security, report patch installation and increase compliance, or Shift Left for ServiceNow plug-in, our product experts can help you get the right fit for your organization.
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