Collection #1 breach download torrent

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Mobile News News More than M email addresses victim of largest data breach February 1, 4 minute read. Staggering 2. Why is this dangerous if the data is considered old? What actions should you take? Better safe than sorry! Earlier this month, security researcher Troy Hunt identified the first tranche of that mega-dump, named Collection 1 by its anonymous creator , a patched-together set of breached databases Hunt said represented million unique usernames and passwords.

Now other researchers have obtained and analyzed an additional vast database called Collections 2—5, which amounts to gigabytes of stolen data and 25 billion records in all. After accounting for duplicates, analysts at the Hasso Plattner Institute in Potsdam, Germany, found that the total haul represents close to three times the Collection 1 batch.

He says the collection has already circulated widely among the hacker underground: He could see that the tracker file he downloaded was being "seeded" by more than people who possessed the data dump, and that it had already been downloaded more than 1, times. Despite its unthinkable size, which was first reported by the German news site Heise.

WIRED examined a sample of the data and confirmed that the credentials are indeed valid, but mostly represent passwords from years-old leaks.

But the leak is still significant for its quantity of privacy violation, if not its quality. WIRED asked Rouland to search for more than a dozen people's email addresses; all but a couple turned up at least one password they had used for an online service that had been hacked in recent years.

As another measure of the data's importance, Hasso Plattner Institute's researchers found that million of the credentials weren't previously included in their database of leaked usernames and passwords, Info Leak Checker , and that million of the credentials in Collections 2—5 weren't included in the Collection 1 data.

The original intention of it was to provide a data set to people building systems so that they could refer to a list of known breached passwords in order to stop people from using them again or at least advise them of the risk. This provided a means of implementing guidance from government and industry bodies alike , but it also provided individuals with a repository they could check their own passwords against.

If you're inclined to lose your mind over that last statement, read about the k-anonymity implementation then continue below. Here's how it works: let's do a search for the word "P ssw0rd" which incidentally, meets most password strength criteria upper case, lower case, number and 8 characters long :.

Obviously, any password that's been seen over 51k times is terrible and you'd be ill-advised to use it anywhere. When I searched for that password, the data was anonymised first and HIBP never received the actual value of it.

Yes, I'm still conscious of the messaging when suggesting to people that they enter their password on another site but in the broader scheme of things, if someone is actually using the same one all over the place as the vast majority of people still do , then the wakeup call this provides is worth it. As of now, all 21,, passwords from Collection 1 have been added to Pwned Passwords bringing the total number of unique values in the list to ,, Whilst I can't tell you precisely what password was against your own record in the breach, I can tell you if any password you're interested in has appeared in previous breaches Pwned Passwords has indexed.

If one of yours shows up there, you really want to stop using it on any service you care about. If you have a bunch of passwords and manually checking them all would be painful, give this a go:. This is 1Password's Watchtower feature and it can take all your stored passwords and check them against Pwned Passwords in one go. The same anonymity model is used neither 1Password nor HIBP ever see your actual password and it enables bulk checking all in one go. I'm conscious that many people reading this won't be using a password manager of any kind in the first place and that's an absolutely pivotal part of how to deal with this incident so I'll come back to that a little later.

Apparently, this feature along with integrated HIBP searches and notifications when new breaches pop up is one of the most-loved features of 1Password which is pretty cool! For some background on that, without me knowing in advance, they launched an early version of this only a day after I released V2 with the anonymity model incidentally, that was a key motivator for later partnering with them :.

Hey, you know what would be cool? If 1Password was to integrate with my newly released Pwned Passwords k-Anonymity model so you could securely check your exposure against the service it'd have to be opt in, of course.

Oh wow - look at this! For those using Pwned Passwords in their own systems EVE Online, GitHub, Okta et al , the API is now returning the new data set and all cache has now been flushed you should see a very recent "last-modified" response header. All the downloadable files have also been revised up to version 4 and are available on the Pwned Passwords page via download courtesy of Cloudflare or via torrents.

Every single time I came across a data set that's not clearly a breach of a single, easily identifiable service, I ask the question - should this go into HIBP? There are a number of factors that influence that decision and one of them is uniqueness; is this a sufficiently new set of data with a large volume of records I haven't seen before? In determining that, I take a slice of the email addresses and ran them against HIBP to see how many of them had been seen before.

Here's what it looked like after a few hundred thousand checks:. In other words, there's somewhere in the order of M email addresses in this breach that HIBP has never seen before. The data was also in broad circulation based on the number of people that contacted me privately about it and the fact that it was published to a well-known public forum. In terms of the risk this presents, more people with the data obviously increases the likelihood that it'll be used for malicious purposes.

Keeping in mind how this service is predominantly used , that's a significant number that I want to make sure are available to the organisations that rely on this data to help steer their customers away from using higher-risk passwords. And finally, every time I've asked the question "should I load data I can't emphatically identify the source of? People will receive notifications or browse to the site and find themselves there and it will be one more little reminder about how our personal data is misused.

If - like me - you're in that list, people who are intent on breaking into your online accounts are circulating it between themselves and looking to take advantage of any shortcuts you may be taking with your online security. My hope is that for many, this will be the prompt they need to make an important change to their online security posture.

And if you find yourself in this data and don't feel there's any value in knowing about it, ignore it. For everyone else, let's move on and establish the risk this presents then talk about fixes. I referred to the word "combos" earlier on and simply put, this is just a combination of usernames usually email addresses and passwords.

In this case, it's almost 2. In other words, people take lists like these that contain our email addresses and passwords then they attempt to see where else they work. The success of this approach is predicated on the fact that people reuse the same credentials on multiple services. Perhaps your personal data is on this list because you signed up to a forum many years ago you've long since forgotten about, but because its subsequently been breached and you've been using that same password all over the place, you've got a serious problem.

By pure coincidence, just last week I wrote about credential stuffing attacks and how they led many people to believe that Spotify had suffered a data breach. In that post, I embedded a short video that shows how easily these attacks are automated and I want to include it again here:. Within the first 15 seconds, the author of the video has chosen a combo list just like the one three quarters of a billion people are in via this Combination 1 breach.

Another 30 seconds and the software is testing those accounts against Spotify and reporting back with email addresses and passwords that can logon to accounts there. That's how easy it is and also how indiscriminate it is; it's not personal, you're just on the list! For people wanting to go deeper, check out Shape Security's video on credential stuffing.

To be clear too, this is not just a Spotify problem.