WEBVTT - The Largest Data Breaches in US History: Part II

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeart Podcasts and how the

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<v Speaker 1>tech are you? So? In our last episode, I started

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<v Speaker 1>covering some of the largest data breaches in US history,

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<v Speaker 1>and as a refresher, I'm using a list that was

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<v Speaker 1>compiled by Kyle Chen of upguard dot com, and you know,

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<v Speaker 1>biggest data breaches. That's an interesting adjective biggest, because the

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<v Speaker 1>scope of the attack isn't always a case where the

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<v Speaker 1>data breach affected more people than, say, the previous one

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<v Speaker 1>on the list. There are cases in which fewer people

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<v Speaker 1>were affected, but the types of information made the breach

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<v Speaker 1>more severe. For example, in our last episode, I talked

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<v Speaker 1>about al hackers stole information from millions of FriendFinder Networks customers.

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<v Speaker 1>So friend Fighter Networks op rates lots of different businesses,

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<v Speaker 1>including some that fall into the adult entertainment and adult

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<v Speaker 1>lifestyle categories. So for some customers, the revelation that they

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<v Speaker 1>were patronizing such a business could be embarrassing or damaging

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<v Speaker 1>due to the taboo nature of the services, and so

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<v Speaker 1>they're less likely to put up a big fuss about

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<v Speaker 1>a data breach, because if they did, it would be

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<v Speaker 1>admitting that they were using the service. And if you're

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<v Speaker 1>a hacker, that kind of target is really tempting because

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<v Speaker 1>your victims are incentivized to not come forward. Now, we

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<v Speaker 1>left off in the last episode talking about the Cambridge

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<v Speaker 1>Analytica scandal with Facebook. That scandal was a doozy and

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<v Speaker 1>was hitting right around the time when Facebook, now known

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<v Speaker 1>as Meta, was in the US government's crosshairs for multiple reasons.

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<v Speaker 1>In fact, I'd argue that those events are in part

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<v Speaker 1>what led to Facebook changing its name to Meta in

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<v Speaker 1>the first place. It was an attempt to kind of

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<v Speaker 1>distance itself from a brand that was being associated with

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<v Speaker 1>lacks security and other shady maybe not shady shade is

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<v Speaker 1>the wrong word, but ethically questionable actions. But as I

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<v Speaker 1>mentioned in the last episode, the Cambridge Analytica scandal was

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<v Speaker 1>just a little side quest in the real Number five

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<v Speaker 1>on our top ten list of largest data breaches in

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<v Speaker 1>US history. Chen's main target for number five was just

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<v Speaker 1>Facebook in general, because the site has been a massive

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<v Speaker 1>target for hackers looking to harvest a mountain of data,

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<v Speaker 1>and that makes sense. Most estimates put the number of

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<v Speaker 1>Facebook users in the neighborhood of three billion people billion

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<v Speaker 1>with a B. So, if you're a hacker and if

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<v Speaker 1>your goal is to steal as much personal information as

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<v Speaker 1>you can, you're likely balancing a few different things when

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<v Speaker 1>you're figuring out who you're going to attack. How valuable

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<v Speaker 1>is the information you're going to get hold of. How

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<v Speaker 1>much of that information do you think you can potentially

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<v Speaker 1>get away with? How secure is the system? You know

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<v Speaker 1>you might be able to infiltrate a relatively small target

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<v Speaker 1>without much trouble. On the flip side, you're not likely

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<v Speaker 1>going to end up with a ton of useful stuff

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<v Speaker 1>in the process. But Facebook, well, Facebook has just about

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<v Speaker 1>everyone's data on it, and heck, if you wanted to

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<v Speaker 1>see if you could compromise specific accounts and use those

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<v Speaker 1>to boost a misinformation campaign, that's a possibility too. It

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<v Speaker 1>may be that you're not looking to sell information. You

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<v Speaker 1>may want to sell a narrative, and in doing so,

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<v Speaker 1>what you're doing is borrowing accounts that aren't yours to

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<v Speaker 1>elevate a message. The main data breach that Chen mentions

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<v Speaker 1>with Facebook actually happened with Facebook in twenty twenty one.

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<v Speaker 1>You know, that's years after the Cambridge Analyticus scandal, and

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<v Speaker 1>that's when someone posted to a black market site on

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<v Speaker 1>the dark Web that they had data records including personal

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<v Speaker 1>information of more than half a billion Facebook users, so

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<v Speaker 1>more than five hundred million, like five hundred and thirty

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<v Speaker 1>million user accounts essentially, so this information would include things

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<v Speaker 1>like user names, the actual names, the data, birth location data,

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<v Speaker 1>and more, all from people who were on the platform

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<v Speaker 1>between twenty eighteen to twenty nineteen. How much data was

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<v Speaker 1>available per person depended upon the individual and the settings

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<v Speaker 1>that they used on Facebook, because this was another case

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<v Speaker 1>of hackers using data scraping tools to pull publicly available

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<v Speaker 1>information off a platform. So no different than if you

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<v Speaker 1>were to visit each person's account and then just note

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<v Speaker 1>down all the information that was visible to you. And

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<v Speaker 1>you might remember from our last episode that a hacker

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<v Speaker 1>with a handle Tomliner was offering similar information that someone

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<v Speaker 1>presumably Tomliner themselves whoever they are, had scraped off of LinkedIn.

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<v Speaker 1>So this Facebook instance is a similar case, except it

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<v Speaker 1>appears that the hacker exploited a vulnerability in the Facebook

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<v Speaker 1>platform to harvest information from profiles. Until Facebook fixed the

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<v Speaker 1>vulnerability in late twenty nineteen, and this is based off

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<v Speaker 1>Facebook's own statements about the data reach. The company claimed

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<v Speaker 1>initially that the April twenty twenty one data was the

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<v Speaker 1>same as a similar breach that happened in January, also

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<v Speaker 1>of twenty twenty one. Now Motherboard reported in January twenty

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<v Speaker 1>twenty one that quote a user of a low level

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<v Speaker 1>cyber criminal forum is selling access to a database of

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<v Speaker 1>phone numbers belonging to Facebook users and conveniently letting customers

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<v Speaker 1>look up those numbers by using an automated Telegram bot

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<v Speaker 1>end quote. So this person had created a database in

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<v Speaker 1>which you could search for specific names and see if

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<v Speaker 1>you've got a hit with a relevant phone number. But

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<v Speaker 1>the April revelation showed more than just phone numbers, which

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<v Speaker 1>you know already. Just the phone numbers is bad enough,

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<v Speaker 1>But the hack that happened later in twenty twenty one

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<v Speaker 1>included lots more stuff like that geolocation data if it

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<v Speaker 1>was in fact part of the account. Now companies like

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<v Speaker 1>Meta Slash Facebook typically have policies prohibiting the mass scraping

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<v Speaker 1>of data. As I said in the last episode, data

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<v Speaker 1>is effectively the currency of the Internet, and when you

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<v Speaker 1>really get down to it. User data is the commodity

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<v Speaker 1>that Meta relies upon for its revenue. Meta's whole business

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<v Speaker 1>model is primarily centered on advertising, and user data allows

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<v Speaker 1>Meta to work with ad companies to target specific customer bases.

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<v Speaker 1>So you'd better believe Meta would prefer to maintain dominion

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<v Speaker 1>over that information rather than having someone else get a

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<v Speaker 1>hold of it. Plus, by not keeping user information under

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<v Speaker 1>tight control, Meta opens itself up to lawsuits and regulatory

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<v Speaker 1>finds that sort of thing, and that certainly happened in

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<v Speaker 1>twenty twenty one. So, for example, the Data Protection Commission

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<v Speaker 1>or DPC, which is a regulatory agency in Ireland and

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<v Speaker 1>thus part of the European Union, found Facebook at fault

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<v Speaker 1>for failing to comply with the quote GDPR obligation for

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<v Speaker 1>data protection by design and default in the quote. So

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<v Speaker 1>as a quick reminder for those of y'all who live

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<v Speaker 1>outside the EU like me, GDPR stands for General Data

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<v Speaker 1>Protection Regulation and it's part of a much larger piece

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<v Speaker 1>of legislation regarding fundamental rights. So here in the United

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<v Speaker 1>States we have relatively little protection with regard to our

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<v Speaker 1>private information. That may be changing, but it's long overdue.

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<v Speaker 1>The same is not true in the EU, where citizens

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<v Speaker 1>are supposed to have authority over their own personal information.

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<v Speaker 1>In the wake of hackers releasing personal information about more

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<v Speaker 1>than five hundred million Facebook users, the DPC conducted an

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<v Speaker 1>investigation into Facebook. The DPC determined that Facebook failed to

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<v Speaker 1>embed proper data privacy and protection measures in place, and

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<v Speaker 1>that gave the hackers the opportunity to scrape all that data.

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<v Speaker 1>So just having a policy saying hey, don't do that,

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<v Speaker 1>that wasn't enough. They had to have things that actually

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<v Speaker 1>would prohibit the practice, and that was where the failure was.

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<v Speaker 1>The DPC then ruled that Facebook would owe a fine

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<v Speaker 1>of two hundred and sixty five million euros, which at

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<v Speaker 1>the time equalled to around two hundred and seventy five

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<v Speaker 1>million dollars, And that was actually the third fine DPC

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<v Speaker 1>levey to get Meta just that year. The first fine

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<v Speaker 1>was for eighteen point six million dollars that related to

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<v Speaker 1>Meta keeping really poor records that contributed to a data

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<v Speaker 1>leak that exposed the information of around thirty million Facebook users,

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<v Speaker 1>so a much smaller leak in that case. The second

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<v Speaker 1>of the fines was actually the largest because this two

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<v Speaker 1>hundred and sixty five million euros. That wasn't the most.

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<v Speaker 1>The most was four hundred two million, and that had

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<v Speaker 1>to do with how Facebook, well really Meta was handling

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<v Speaker 1>data that belonged to teenage users of the app Instagram.

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<v Speaker 1>So yeah, it was a very expensive year for Meta

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<v Speaker 1>in terms of fines paid to the EU. I mean

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<v Speaker 1>keep in mind that Facebook had also had to face

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<v Speaker 1>a five billion dollar fine in the United States earlier

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<v Speaker 1>due to other issues. So yeah, Facebook was no stranger

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<v Speaker 1>to having to pay out hundreds of millions and even

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<v Speaker 1>billions of dollars in fines for how the company handles information.

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<v Speaker 1>In Chen's blog post, he also points out a few

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<v Speaker 1>other incidents involving Meta and data security or lack of

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<v Speaker 1>data security. So, for example, in twenty nineteen, Upguard researchers

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<v Speaker 1>found a database of five hundred and forty million Facebook

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<v Speaker 1>user data records on quote public Amazon S three cloud

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<v Speaker 1>servers end quote. Now, arguably you could say this really

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<v Speaker 1>wasn't Facebook's fault, This was the fault of a third

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<v Speaker 1>party company that was working with Facebook. That third party

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<v Speaker 1>company was Cultura Collectiva, which was a media and app

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<v Speaker 1>developer company. So you could say that, you know, Cultura

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<v Speaker 1>Collectiva was a customer for Facebook, and they had this

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<v Speaker 1>massive database of Facebook user data, presumably so that they

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<v Speaker 1>could develop the apps or whatever that they were working on,

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<v Speaker 1>and they were storing this database on an Amazon S

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<v Speaker 1>three cloud server, but they failed to actually secure that

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<v Speaker 1>information on the cloud. They didn't put protections in place

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<v Speaker 1>to prevent unauthorized people from being able to access, which

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<v Speaker 1>is a big old whoopsie. But I think it's fair

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<v Speaker 1>to say that it was not Meta's direct fault for

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<v Speaker 1>this one. It sounded to me like this was the

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<v Speaker 1>third party that arranged to have the database on that server.

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<v Speaker 1>But I don't know if Facebook had done that, Like

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<v Speaker 1>if Meta had made it available on that server and

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<v Speaker 1>then gave access to Cultura Collectiva but failed to secure

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<v Speaker 1>that access appropriately, then yes, it would have been Meta's fault.

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<v Speaker 1>I honestly don't know the details where I can make

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<v Speaker 1>a determination in that regard. Anyway, That's really just the

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<v Speaker 1>tip of the iceberg when it comes to data breaches

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<v Speaker 1>with Meta slash Facebook. And given the reach of platforms

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<v Speaker 1>like Facebook and Watsapp and Instagram, you know, all these

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<v Speaker 1>different meta properties, it really should come as no surprise

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<v Speaker 1>that any data breach that targets Meta is going to

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<v Speaker 1>end up being one of the largest in US history

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<v Speaker 1>simply because they have such a huge user base, right like,

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<v Speaker 1>just by definition, if it's an effective attack, it's going

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<v Speaker 1>to be one of the largest ever. So again, it's

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<v Speaker 1>one of those things that you know, it makes Meta

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<v Speaker 1>such an attractive target for attackers, the fact that it's

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<v Speaker 1>this huge. Okay, we've got lots more to go through,

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<v Speaker 1>and rather than start the next entry and then just

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<v Speaker 1>have to take a break in the middle, let's take

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<v Speaker 1>a break. Now, we'll be back with numbers four and three.

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<v Speaker 1>I think, okay, we're back. So number four on our

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<v Speaker 1>list of largest data breaches in US history is another

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<v Speaker 1>financial institution. So in the last episode, I mentioned how

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<v Speaker 1>a twenty fourteen hack on JP Morgan Chase demonstrated that

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<v Speaker 1>it wasn't just web based companies that were at risk.

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<v Speaker 1>In May twenty nineteen, that lesson was reinforced when poor

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<v Speaker 1>data security practices meant the first American financial corporation inadvertently

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<v Speaker 1>made it possible for anyone with a particular weblink and

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<v Speaker 1>able to access some really sensitive financial information. There was

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<v Speaker 1>no hacking required. Literally, all you needed was the URL

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<v Speaker 1>and boom you could view a whole bunch of files,

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<v Speaker 1>and by whole bunch, I mean nine hundred million files almost,

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<v Speaker 1>so you know, more than eight hundred billion. I think

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<v Speaker 1>it was like eight hundred and eighty million something along

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<v Speaker 1>those lines. So what the heck happened? Well, whomever first

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<v Speaker 1>American financial corporation hired to do web design made a

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<v Speaker 1>major boo boo, And I'd like to think it was

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<v Speaker 1>an honest but dumb mistake and not you know, some

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<v Speaker 1>sort of malicious or premeditated attempt to gain access to

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<v Speaker 1>sensitive information. So essentially, the web developer failed to include

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<v Speaker 1>any sort of authorization or verification process to access this

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<v Speaker 1>list of files. So maybe the thought was just that,

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<v Speaker 1>you know, the URL for the web directory wouldn't be

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<v Speaker 1>published anywhere, so the only people who would even have

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<v Speaker 1>access to it were the ones who knew what the

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<v Speaker 1>UURL was. And if that was the thought, like if

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<v Speaker 1>it was like, oh, we don't need to institute anything

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<v Speaker 1>else because this is a private web address, who's going

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<v Speaker 1>to see it? That would be a practice that's called

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<v Speaker 1>security through obscurity, which by the way, is not very

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<v Speaker 1>secure at all. And as the name implies, the hope

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<v Speaker 1>is that by flying below the radar of attackers, no

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<v Speaker 1>one takes notice of you, so you remain safe, not

0:13:21.200 --> 0:13:24.640
<v Speaker 1>because you're practicing really good security, but because no one

0:13:24.679 --> 0:13:27.200
<v Speaker 1>has spotted you, and so no one has decided to

0:13:27.280 --> 0:13:31.319
<v Speaker 1>target you. Sometimes this isn't something that you're actively practicing,

0:13:31.360 --> 0:13:34.520
<v Speaker 1>it's just kind of in effect. I have argued in

0:13:34.559 --> 0:13:39.280
<v Speaker 1>the past that Apple enjoyed security through obscurity. For many years,

0:13:39.679 --> 0:13:44.560
<v Speaker 1>you didn't see much malware targeting Apple systems. Apple fans

0:13:44.760 --> 0:13:47.760
<v Speaker 1>would argue this was because Apple was just better at

0:13:47.840 --> 0:13:51.160
<v Speaker 1>security than companies like Microsoft or IBM. In fact, some

0:13:51.200 --> 0:13:54.720
<v Speaker 1>of Apple's own ads seemed to me at least to

0:13:54.880 --> 0:13:59.079
<v Speaker 1>imply that one advantage Apple computers had over Windows based

0:13:59.080 --> 0:14:02.040
<v Speaker 1>PCs is that they were more secure. Now, I would

0:14:02.040 --> 0:14:06.240
<v Speaker 1>counter that I don't think Apple was necessarily so much

0:14:06.280 --> 0:14:10.319
<v Speaker 1>better at security. I mean, granted, they were using proprietary systems,

0:14:10.360 --> 0:14:14.880
<v Speaker 1>including proprietary software and hardware, which does make it harder

0:14:15.160 --> 0:14:18.599
<v Speaker 1>to develop malware for those platforms. It doesn't make it impossible,

0:14:18.760 --> 0:14:21.000
<v Speaker 1>but it makes it harder. But I think that the

0:14:21.120 --> 0:14:24.000
<v Speaker 1>vast majority of people, I don't think this this is true.

0:14:24.040 --> 0:14:26.920
<v Speaker 1>The vast majority of people were not using Apple computers.

0:14:26.960 --> 0:14:29.600
<v Speaker 1>They were on Windows based machines. So, yeah, there were

0:14:29.640 --> 0:14:32.720
<v Speaker 1>people using Apple computers, but if you looked at the percentages,

0:14:32.800 --> 0:14:36.920
<v Speaker 1>I mean, Apple was just dwarfed by Windows machines. So

0:14:37.440 --> 0:14:40.120
<v Speaker 1>if you are a hacker and you're going to dedicate

0:14:40.200 --> 0:14:43.000
<v Speaker 1>the time and effort into developing malware, and you have

0:14:43.040 --> 0:14:45.360
<v Speaker 1>a specific goal in mind, whatever that goal might be,

0:14:45.760 --> 0:14:48.520
<v Speaker 1>you're more likely going to aim at the largest target

0:14:48.760 --> 0:14:50.960
<v Speaker 1>in order to have the biggest impact. Like, that's going

0:14:51.040 --> 0:14:54.560
<v Speaker 1>to make more of a difference than affecting a relatively

0:14:54.720 --> 0:14:58.440
<v Speaker 1>small population of Apple users. Go for the bigger population

0:14:58.520 --> 0:15:03.520
<v Speaker 1>of Windows users. That's security through obscurity, right, Like, yes,

0:15:03.960 --> 0:15:07.520
<v Speaker 1>the security might have been better to some degree, but

0:15:07.640 --> 0:15:10.440
<v Speaker 1>that's not why Apple was so safe for the longest time.

0:15:10.640 --> 0:15:13.480
<v Speaker 1>It was also safe or what was not the only reason?

0:15:13.520 --> 0:15:15.640
<v Speaker 1>I guess I should say it was also safe because

0:15:15.960 --> 0:15:19.440
<v Speaker 1>the company's market share was small enough that a lot

0:15:19.440 --> 0:15:22.720
<v Speaker 1>of hackers just didn't see the return on investment to

0:15:22.800 --> 0:15:26.560
<v Speaker 1>develop malware for Apple when most people were using Windows

0:15:26.640 --> 0:15:30.920
<v Speaker 1>machines anyway, Whether the thought was that no one who

0:15:31.040 --> 0:15:34.560
<v Speaker 1>was unauthorized would even find their way to this URL,

0:15:34.960 --> 0:15:38.280
<v Speaker 1>or it was just an oversight and the web developer

0:15:38.320 --> 0:15:40.920
<v Speaker 1>failed to take steps that they should have taken the

0:15:41.000 --> 0:15:44.400
<v Speaker 1>vulnerability was in place, and this type of vulnerability is

0:15:44.520 --> 0:15:48.880
<v Speaker 1>called an insecure direct object reference. So this is just

0:15:48.960 --> 0:15:52.360
<v Speaker 1>a category for vulnerabilities, and essentially it just means that

0:15:52.640 --> 0:15:55.840
<v Speaker 1>if a user has the ability to submit a specific

0:15:55.960 --> 0:15:59.720
<v Speaker 1>input into a system and they can gain access to

0:15:59.760 --> 0:16:03.000
<v Speaker 1>that system without having to pass through any control measures,

0:16:03.240 --> 0:16:07.880
<v Speaker 1>that is an insecure direct object reference. So in this case,

0:16:08.240 --> 0:16:11.680
<v Speaker 1>the input was just a web address, so the only

0:16:11.840 --> 0:16:14.440
<v Speaker 1>tool that you needed was a browser. You did not

0:16:14.560 --> 0:16:16.680
<v Speaker 1>have to be a hacker. You needed a web browser

0:16:16.760 --> 0:16:19.320
<v Speaker 1>and you needed to put a URL into the address

0:16:19.400 --> 0:16:22.360
<v Speaker 1>bar and boom, you would be taken to one of

0:16:22.360 --> 0:16:25.680
<v Speaker 1>these documents. Now, adding to this problem was the fact

0:16:25.680 --> 0:16:29.960
<v Speaker 1>that First American Financial Corporation was using a sequential numbering

0:16:30.000 --> 0:16:33.680
<v Speaker 1>system for their documents, which meant if you had discovered

0:16:33.720 --> 0:16:37.520
<v Speaker 1>a URL that brought you to one of these documents,

0:16:37.800 --> 0:16:40.480
<v Speaker 1>you could then adjust the numeral that was at the

0:16:40.720 --> 0:16:43.920
<v Speaker 1>end of the file name, and if you went down one,

0:16:44.200 --> 0:16:46.760
<v Speaker 1>then you'd see the previous record, and if you went

0:16:46.840 --> 0:16:48.920
<v Speaker 1>up one, you'd see the next record. So what kind

0:16:48.920 --> 0:16:52.320
<v Speaker 1>of records are we talking about. Well, it included stuff

0:16:52.400 --> 0:16:58.520
<v Speaker 1>like bank statements, receipts, actual bank account numbers, drivers licenses,

0:16:58.560 --> 0:17:01.520
<v Speaker 1>and other stuff. Now, on the bright side, while security

0:17:01.560 --> 0:17:04.680
<v Speaker 1>researcher Brian Krebs reported on the discovery of the issue,

0:17:04.720 --> 0:17:08.800
<v Speaker 1>it appeared that no unauthorized third parties with malicious intent

0:17:09.080 --> 0:17:13.159
<v Speaker 1>had actually accessed this information. You could argue, really just

0:17:13.200 --> 0:17:15.119
<v Speaker 1>a matter of luck. Also, there was no way to

0:17:15.200 --> 0:17:18.160
<v Speaker 1>really know. But it just didn't seem like this stuff

0:17:18.240 --> 0:17:21.560
<v Speaker 1>was showing up anywhere where you would say, oh, the

0:17:21.600 --> 0:17:23.639
<v Speaker 1>bad guys got hold of this, right. It wasn't like

0:17:23.680 --> 0:17:26.919
<v Speaker 1>it was popping up on the dark web. Perhaps because

0:17:27.000 --> 0:17:29.639
<v Speaker 1>it seemed that no criminals had found out about this

0:17:29.760 --> 0:17:33.520
<v Speaker 1>problem before First American could actually, you know, address it,

0:17:33.680 --> 0:17:37.800
<v Speaker 1>the SEC went fairly light on the financial institution, at

0:17:37.880 --> 0:17:40.680
<v Speaker 1>least in my opinion. First American was ordered to pay

0:17:40.720 --> 0:17:43.960
<v Speaker 1>a five hundred thousand dollars fine. Now, five hundred thousand

0:17:43.960 --> 0:17:45.639
<v Speaker 1>dollars is a lot of money. If you hit me

0:17:45.680 --> 0:17:48.159
<v Speaker 1>with a five hundred thousand dollars fine, I would be

0:17:48.359 --> 0:17:51.400
<v Speaker 1>up the creek. I would be so deep in trouble.

0:17:51.600 --> 0:17:54.560
<v Speaker 1>But when you think of like a financial institution and

0:17:54.600 --> 0:17:58.640
<v Speaker 1>the fact that this this data leak scope was nearly

0:17:58.760 --> 0:18:04.040
<v Speaker 1>a billion records of incredibly sensitive financial information. I think

0:18:04.080 --> 0:18:06.920
<v Speaker 1>it's still a fairly light fine to have to pay.

0:18:07.320 --> 0:18:09.640
<v Speaker 1>The State of New York would actually secure a million

0:18:09.720 --> 0:18:13.000
<v Speaker 1>dollar payout from First American in a lawsuit settlement, so

0:18:13.240 --> 0:18:15.280
<v Speaker 1>that was twice as much. Now it may be, and

0:18:15.320 --> 0:18:18.040
<v Speaker 1>I haven't looked at this. It maybe that the SEC

0:18:18.359 --> 0:18:22.040
<v Speaker 1>just had limitations on how much it could find an institution,

0:18:22.440 --> 0:18:24.840
<v Speaker 1>in which case, you know, no fault on them. It's

0:18:24.880 --> 0:18:26.840
<v Speaker 1>not like it's not like they could do more. If

0:18:26.920 --> 0:18:30.080
<v Speaker 1>you throw the book at someone, you don't typically assume

0:18:30.160 --> 0:18:32.800
<v Speaker 1>the person has a second book to throw. More recently,

0:18:33.119 --> 0:18:36.040
<v Speaker 1>First American was in the news again in late twenty

0:18:36.119 --> 0:18:38.560
<v Speaker 1>twenty three when hackers claiming to be part of the

0:18:38.600 --> 0:18:43.199
<v Speaker 1>infamous Alpha and black Cat groups infiltrated company systems and

0:18:43.359 --> 0:18:47.760
<v Speaker 1>encrypted several directories as a ransomware attack. Now, this disrupted

0:18:47.800 --> 0:18:50.720
<v Speaker 1>First Americans operations for a short while, but the company

0:18:50.800 --> 0:18:53.160
<v Speaker 1>assured the public that the attackers had failed to lock

0:18:53.200 --> 0:18:57.080
<v Speaker 1>off anything that was absolutely critical for operations, and at

0:18:57.119 --> 0:19:01.320
<v Speaker 1>first they believe that customer records weren't act. However, very

0:19:01.400 --> 0:19:05.399
<v Speaker 1>recently First American revealed that quote personal information pertaining to

0:19:05.440 --> 0:19:09.679
<v Speaker 1>approximately forty four thousand individuals may have been accessed without

0:19:09.760 --> 0:19:12.760
<v Speaker 1>authorization as a result of the incident. End quote. This

0:19:12.800 --> 0:19:16.600
<v Speaker 1>is according to the title report dot com. So the

0:19:16.600 --> 0:19:19.040
<v Speaker 1>company is going to be contacting those who are potentially

0:19:19.040 --> 0:19:23.199
<v Speaker 1>affected and offer identity protection services and credit monitoring for

0:19:23.280 --> 0:19:25.560
<v Speaker 1>free for you know, some amount of time. I don't

0:19:25.600 --> 0:19:27.960
<v Speaker 1>know for how long. Number three on our list is

0:19:28.000 --> 0:19:31.200
<v Speaker 1>a real estate education company. It is called the Real

0:19:31.320 --> 0:19:34.919
<v Speaker 1>Estate Wealth Network. Now, before I did any research on

0:19:34.960 --> 0:19:38.080
<v Speaker 1>this episode, I had not heard about this particular data breach.

0:19:38.200 --> 0:19:40.480
<v Speaker 1>This one I just missed. When it happened, it was

0:19:40.520 --> 0:19:42.919
<v Speaker 1>big news, and somehow I didn't see it, And it

0:19:42.960 --> 0:19:45.480
<v Speaker 1>really was a data leak. So similar to what we

0:19:45.720 --> 0:19:48.320
<v Speaker 1>just talked about with First American. As opposed to you know,

0:19:48.400 --> 0:19:51.840
<v Speaker 1>hackers compromising a system, this is more of a company

0:19:52.040 --> 0:19:56.520
<v Speaker 1>failing to put in the proper measures to protect information.

0:19:56.920 --> 0:20:03.080
<v Speaker 1>Before I read about this particular situation, my imagination went wild, right,

0:20:03.080 --> 0:20:06.960
<v Speaker 1>because it's the Real Estate Wealth Network. I in my

0:20:07.040 --> 0:20:10.719
<v Speaker 1>imagination thought, aha, this is going to be a story

0:20:10.760 --> 0:20:15.040
<v Speaker 1>about some sort of crypto anarchist, right, because here's a

0:20:15.040 --> 0:20:17.920
<v Speaker 1>company that's dedicated to teaching folks how to build wealth

0:20:17.960 --> 0:20:20.440
<v Speaker 1>by buying up real estate in many parts of the

0:20:20.560 --> 0:20:23.760
<v Speaker 1>United States. Right now, we're in sort of a housing crisis.

0:20:23.920 --> 0:20:26.880
<v Speaker 1>There are a lot of middle class Americans who cannot

0:20:26.960 --> 0:20:30.480
<v Speaker 1>afford to buy a house, which is a change from

0:20:30.640 --> 0:20:33.840
<v Speaker 1>previous generations. Right like, you have people who are in

0:20:33.920 --> 0:20:40.280
<v Speaker 1>the same relative space in middle class, who, unlike earlier generations,

0:20:40.640 --> 0:20:44.199
<v Speaker 1>cannot buy an average home or a suitable home. So

0:20:44.240 --> 0:20:47.879
<v Speaker 1>the housing prices have skyrocketed in various regions throughout the

0:20:47.960 --> 0:20:50.359
<v Speaker 1>United States in recent years, and a lot of properties

0:20:50.400 --> 0:20:53.280
<v Speaker 1>seem to get scooped up by people or companies determined

0:20:53.320 --> 0:20:56.960
<v Speaker 1>to turn the houses into lucrative vacation rental properties a

0:20:57.080 --> 0:21:01.000
<v Speaker 1>la Airbnb and such. So I am imagine this data

0:21:01.040 --> 0:21:04.439
<v Speaker 1>breach was the work of some crypto anarchist akin to

0:21:04.520 --> 0:21:06.919
<v Speaker 1>the main character in v for Vendetta. You know, a

0:21:06.960 --> 0:21:09.400
<v Speaker 1>person who was determined to take down the system by

0:21:09.400 --> 0:21:14.120
<v Speaker 1>targeting a wealth generation platform that by its very existence

0:21:14.240 --> 0:21:17.520
<v Speaker 1>seemed to put the common person at a disadvantage. But no,

0:21:18.040 --> 0:21:20.520
<v Speaker 1>it's nothing quite so dramatic as that. This is another

0:21:20.560 --> 0:21:23.640
<v Speaker 1>case of a company failing to institute basic security measures

0:21:23.640 --> 0:21:26.920
<v Speaker 1>in place in order to protect sensitive information. So let's

0:21:26.960 --> 0:21:30.240
<v Speaker 1>talk about that information first, and then I will talk

0:21:30.240 --> 0:21:35.480
<v Speaker 1>about what actually happened. So the leaked info included all

0:21:35.560 --> 0:21:39.200
<v Speaker 1>the top hits, you know, your basic stuff like customer names,

0:21:39.359 --> 0:21:42.280
<v Speaker 1>their phone numbers, addresses, that kind of thing. But it

0:21:42.280 --> 0:21:45.760
<v Speaker 1>also included other stuff like tax IDs, or whether or

0:21:45.840 --> 0:21:48.800
<v Speaker 1>not the entity that owned the property had ever gone

0:21:48.800 --> 0:21:52.880
<v Speaker 1>through bankruptcy, or if there were any court judgments against

0:21:52.920 --> 0:21:56.880
<v Speaker 1>the property owner. Obviously, it also included property history records

0:21:56.920 --> 0:21:59.000
<v Speaker 1>like when it was bought and sold and who bought

0:21:59.080 --> 0:22:01.800
<v Speaker 1>it or sold it. And there were a lot of

0:22:01.840 --> 0:22:04.119
<v Speaker 1>these data records, or like a one and a half

0:22:04.640 --> 0:22:08.760
<v Speaker 1>billion data records in total. Some of them included information

0:22:08.800 --> 0:22:13.240
<v Speaker 1>about very notable people, you know, like politicians and celebrities

0:22:13.320 --> 0:22:15.359
<v Speaker 1>and that kind of thing. And you could imagine this

0:22:15.440 --> 0:22:19.479
<v Speaker 1>sort of crime meant that the people who had access

0:22:19.480 --> 0:22:22.600
<v Speaker 1>to this information could do all sorts of other crimes,

0:22:23.040 --> 0:22:25.879
<v Speaker 1>everything from spearfishing, which would be a breeze because you

0:22:25.880 --> 0:22:28.640
<v Speaker 1>would have so much information about your target, you could

0:22:28.640 --> 0:22:33.679
<v Speaker 1>craft a very convincing attack that would potentially compromise them further.

0:22:34.160 --> 0:22:36.280
<v Speaker 1>You would have all the information you needed to commit

0:22:36.359 --> 0:22:39.479
<v Speaker 1>some pretty nasty fraud crimes in the name of some

0:22:39.520 --> 0:22:41.800
<v Speaker 1>of these victims. Not to mention now that you have

0:22:41.880 --> 0:22:45.760
<v Speaker 1>these notable people like politicians and celebrities. You have information

0:22:45.920 --> 0:22:48.879
<v Speaker 1>that you know, stalkers would really like, or people who

0:22:48.920 --> 0:22:53.000
<v Speaker 1>have a particular desire to hurt somebody specific they might

0:22:53.080 --> 0:22:55.200
<v Speaker 1>really want the information. So yeah, there's a whole host

0:22:55.200 --> 0:22:57.640
<v Speaker 1>of crimes that can happen as a result of this.

0:22:58.200 --> 0:23:02.360
<v Speaker 1>So what actually happened? How did this come about? Well,

0:23:02.359 --> 0:23:04.959
<v Speaker 1>the simple explanation is that the Real Estate Wealth Network

0:23:05.000 --> 0:23:08.680
<v Speaker 1>failed to put any security around accessing this database, which

0:23:08.720 --> 0:23:11.919
<v Speaker 1>held one point one six terabytes of information in it.

0:23:12.359 --> 0:23:16.119
<v Speaker 1>There was this security researcher named Jeremiah Fowler who discovered

0:23:16.119 --> 0:23:20.440
<v Speaker 1>the problem. He found an unencrypted, massive database containing extremely

0:23:20.480 --> 0:23:23.640
<v Speaker 1>sensitive information, and he said he found it after searching

0:23:23.680 --> 0:23:26.280
<v Speaker 1>for his own details, and then he followed a trail

0:23:26.359 --> 0:23:28.719
<v Speaker 1>that led to this database. So I don't know if

0:23:28.720 --> 0:23:31.919
<v Speaker 1>he was just like doing this search just on his

0:23:32.040 --> 0:23:34.320
<v Speaker 1>own and that had nothing to do with, you know,

0:23:34.400 --> 0:23:38.320
<v Speaker 1>any kind of investigation and just stumbled upon this, or

0:23:38.680 --> 0:23:42.159
<v Speaker 1>if he had already heard something about this or suspected

0:23:42.160 --> 0:23:44.880
<v Speaker 1>something about it and then started to do some searching

0:23:45.160 --> 0:23:48.200
<v Speaker 1>and came across it. Either way, he reported the problem

0:23:48.320 --> 0:23:51.080
<v Speaker 1>to the Real Estate Wealth Network, and to their credit,

0:23:51.160 --> 0:23:54.920
<v Speaker 1>they promptly locked down access to the database, They closed

0:23:54.960 --> 0:23:58.440
<v Speaker 1>off that avenue toward the data, and they also confirmed

0:23:58.560 --> 0:24:02.480
<v Speaker 1>that they owned the data base, which again all credit

0:24:02.600 --> 0:24:06.480
<v Speaker 1>to Real Estate Wealth Network for doing this. They acknowledged

0:24:06.480 --> 0:24:09.000
<v Speaker 1>the data leak, and honestly, that had a real breath

0:24:09.000 --> 0:24:11.720
<v Speaker 1>of fresh air to it, because, yes, the leak never

0:24:11.760 --> 0:24:13.640
<v Speaker 1>should have happened in the first place, but at least

0:24:13.680 --> 0:24:15.800
<v Speaker 1>we're not talking about an incident in which the company

0:24:15.880 --> 0:24:20.520
<v Speaker 1>delayed installed for days, weeks, months, or even years before

0:24:20.560 --> 0:24:23.760
<v Speaker 1>finally owning up to it. Because spoiler alert number one

0:24:23.800 --> 0:24:27.399
<v Speaker 1>on this list did that. It's a company that held

0:24:27.440 --> 0:24:31.000
<v Speaker 1>back on disclosing information about a massive data breach for

0:24:31.200 --> 0:24:34.879
<v Speaker 1>multiple years. But no, Real Estate Wealth Networks was pretty

0:24:34.960 --> 0:24:38.639
<v Speaker 1>quick to disclose this issue, which is really the responsible

0:24:38.640 --> 0:24:40.800
<v Speaker 1>thing to do, right, to warn those who have been

0:24:40.800 --> 0:24:42.840
<v Speaker 1>affected so that they could be on the lookout for

0:24:42.920 --> 0:24:47.840
<v Speaker 1>any signs that malicious actors have accessed that information. However,

0:24:47.960 --> 0:24:51.280
<v Speaker 1>despite this responsible approach, you know, you still have to

0:24:51.320 --> 0:24:53.960
<v Speaker 1>admit there were some pretty massive problems here. So for

0:24:54.040 --> 0:24:57.359
<v Speaker 1>one thing, it was not clear how long that database

0:24:57.400 --> 0:25:01.400
<v Speaker 1>had been unsecured, right it could have been unsecured for ages.

0:25:01.680 --> 0:25:04.639
<v Speaker 1>It was also unknown whether anyone besides you know, the

0:25:04.720 --> 0:25:08.200
<v Speaker 1>security research or Fowler had noticed this issue, because you know,

0:25:08.240 --> 0:25:11.399
<v Speaker 1>if criminals had found it, they would have a treasure

0:25:11.440 --> 0:25:14.280
<v Speaker 1>trove of data at their fingertips, and they wouldn't likely

0:25:15.119 --> 0:25:17.520
<v Speaker 1>just blurred out that they had found it if they

0:25:17.520 --> 0:25:20.760
<v Speaker 1>wanted to keep accessing it, although they could have made copies.

0:25:20.760 --> 0:25:24.080
<v Speaker 1>And apparently, from what I understand, no one found anything

0:25:24.080 --> 0:25:26.400
<v Speaker 1>about this on the dark web, So that's a fairly

0:25:26.440 --> 0:25:31.080
<v Speaker 1>good indicator that it was unnoticed by the criminal element.

0:25:31.200 --> 0:25:32.720
<v Speaker 1>But I mean, it would have only been a matter

0:25:32.760 --> 0:25:34.719
<v Speaker 1>of time. So the fact that Fowler found it and

0:25:34.760 --> 0:25:37.800
<v Speaker 1>that Real Estate Wealth Networks responded so quickly, that's really

0:25:37.880 --> 0:25:40.719
<v Speaker 1>a good thing. But yeah, this data included you know,

0:25:40.800 --> 0:25:45.080
<v Speaker 1>information about actual like celebrities, everyone from Britney Spears to

0:25:45.119 --> 0:25:49.480
<v Speaker 1>Elon Musk to Nancy Pelosi. So okay, we're coming down

0:25:49.640 --> 0:25:52.800
<v Speaker 1>to our top two entries on this list. Although I

0:25:52.800 --> 0:25:55.560
<v Speaker 1>should remind everybody that while I'm presenting this as a

0:25:55.600 --> 0:25:58.880
<v Speaker 1>top ten countdown, in episode one was like ten through

0:25:59.280 --> 0:26:01.680
<v Speaker 1>five and a half and this is five through one,

0:26:01.920 --> 0:26:04.240
<v Speaker 1>I should mention Kyle Chen did not claim that his

0:26:04.320 --> 0:26:07.080
<v Speaker 1>list was ordered in any kind of ranked way. He

0:26:07.119 --> 0:26:11.320
<v Speaker 1>listed twenty six different data breaches, and I don't wish

0:26:11.400 --> 0:26:15.040
<v Speaker 1>to imply that this is Kyle Chin's ranking. I just

0:26:15.320 --> 0:26:18.840
<v Speaker 1>chose to interpret it that way. So I'm just an

0:26:18.840 --> 0:26:21.480
<v Speaker 1>Internet hack. Really. Maybe at some point I'll do an

0:26:21.520 --> 0:26:25.720
<v Speaker 1>episode covering the other sixteen data breaches. But we're gonna

0:26:25.720 --> 0:26:28.680
<v Speaker 1>take a quick break right now for some more messages,

0:26:28.720 --> 0:26:41.120
<v Speaker 1>and when we come back, we're gonna keep on hacking. Okay,

0:26:41.200 --> 0:26:44.680
<v Speaker 1>we're back, and I mentioned before the break, we're gonna

0:26:44.760 --> 0:26:47.160
<v Speaker 1>keep on hacking. And hacking actually does play a part

0:26:47.440 --> 0:26:50.920
<v Speaker 1>in numbers two and one, right, because the last two

0:26:51.200 --> 0:26:55.080
<v Speaker 1>those weren't really data breaches. Those were data leaks. A breach,

0:26:55.160 --> 0:26:58.880
<v Speaker 1>I would argue, is when an outsider, a hacker, has

0:26:59.600 --> 0:27:02.399
<v Speaker 1>managed to infiltrate a system in some way. They have

0:27:02.560 --> 0:27:06.320
<v Speaker 1>breached the security whatever there might be of a system.

0:27:06.480 --> 0:27:09.000
<v Speaker 1>Data leaks are when you don't have any security in

0:27:09.080 --> 0:27:12.480
<v Speaker 1>place and no one actively has to be like searching

0:27:12.520 --> 0:27:15.040
<v Speaker 1>for it. It's just out there and it's available if

0:27:15.119 --> 0:27:17.520
<v Speaker 1>you happen to nowhere to look. Well, this is definitely

0:27:17.600 --> 0:27:20.040
<v Speaker 1>a breach, not a leak, and it's one that puts

0:27:20.080 --> 0:27:24.760
<v Speaker 1>Microsoft in the spotlight. The Culprit was an allegedly China

0:27:24.840 --> 0:27:31.040
<v Speaker 1>backed hacker group called Hafnium. The target were Microsoft Exchange servers.

0:27:31.440 --> 0:27:35.600
<v Speaker 1>So to be clear, the targets weren't just Microsoft. It

0:27:35.640 --> 0:27:38.560
<v Speaker 1>wasn't like the they were going after the company Microsoft.

0:27:38.640 --> 0:27:42.640
<v Speaker 1>They were going after companies that were using Microsoft Exchange servers,

0:27:42.840 --> 0:27:47.280
<v Speaker 1>So customers of Microsoft. That's who these hackers were going after.

0:27:47.480 --> 0:27:52.480
<v Speaker 1>And the entry point was allegedly four separate zero day vulnerabilities.

0:27:52.680 --> 0:27:55.280
<v Speaker 1>Now I mentioned in the previous episode. A zero day

0:27:55.359 --> 0:27:59.360
<v Speaker 1>vulnerability is one that the person or entity that's responsible

0:27:59.480 --> 0:28:02.800
<v Speaker 1>for the softwareware, or system doesn't know about. That's what

0:28:02.880 --> 0:28:05.960
<v Speaker 1>makes it a zero day vulnerability. They have zero days

0:28:06.080 --> 0:28:09.560
<v Speaker 1>to address any sort of exploit that pops up in

0:28:09.600 --> 0:28:14.200
<v Speaker 1>the wild, and zero day vulnerabilities are like gold to hackers.

0:28:14.520 --> 0:28:18.439
<v Speaker 1>They represent an opportunity to infiltrate systems without fear of

0:28:18.480 --> 0:28:22.760
<v Speaker 1>being stopped or sometimes even detected, and that gives hackers

0:28:22.840 --> 0:28:26.479
<v Speaker 1>way more time and opportunities to achieve whatever goals they have,

0:28:26.600 --> 0:28:30.640
<v Speaker 1>whether that's stealing information or breaking entire directories as part

0:28:30.640 --> 0:28:34.399
<v Speaker 1>of a ransomware attack, or infiltrating systems with malware, whatever

0:28:34.400 --> 0:28:38.240
<v Speaker 1>it might be. One zero day vulnerability is bad for

0:28:38.600 --> 0:28:42.960
<v Speaker 1>zero day vulnerabilities is really really bad. And on top

0:28:43.000 --> 0:28:45.200
<v Speaker 1>of that, some of these vulnerabilities had sort of been

0:28:45.240 --> 0:28:48.240
<v Speaker 1>grandfathered in from software that had been out for almost

0:28:48.280 --> 0:28:51.480
<v Speaker 1>a decade at that point. One key element that made

0:28:51.480 --> 0:28:54.640
<v Speaker 1>this particular attack so devastating was that many of the

0:28:54.640 --> 0:28:59.000
<v Speaker 1>customers using Microsoft Exchange kept their own email servers on

0:28:59.200 --> 0:29:03.200
<v Speaker 1>company premises or on prem as those in the biz

0:29:03.680 --> 0:29:07.720
<v Speaker 1>call it, so in case you're not familiar with that term,

0:29:07.840 --> 0:29:11.520
<v Speaker 1>it just means that a company hasn't offloaded everything to

0:29:11.560 --> 0:29:15.040
<v Speaker 1>the cloud. At least some of their servers that they're

0:29:15.120 --> 0:29:18.920
<v Speaker 1>using are on company property, whether that's in the company

0:29:19.080 --> 0:29:22.480
<v Speaker 1>HQ or a data center or whatever. The point is,

0:29:22.800 --> 0:29:26.360
<v Speaker 1>they own and operate the server. They're just running the

0:29:26.400 --> 0:29:31.040
<v Speaker 1>Microsoft Exchange product on those servers. So these are computers

0:29:31.040 --> 0:29:33.840
<v Speaker 1>that are not under the direct supervision of Microsoft. And

0:29:33.880 --> 0:29:37.320
<v Speaker 1>that's the important part, and the reason it's important is

0:29:37.360 --> 0:29:42.480
<v Speaker 1>that once Microsoft became aware of these vulnerabilities, they could

0:29:42.720 --> 0:29:47.040
<v Speaker 1>and they did release security patches to plug up those holes,

0:29:47.240 --> 0:29:50.400
<v Speaker 1>which would stop attackers from being able to infiltrate those

0:29:50.480 --> 0:29:54.960
<v Speaker 1>Microsoft Exchange servers. But while Microsoft could install these patches

0:29:55.000 --> 0:29:58.400
<v Speaker 1>directly onto any systems that were under their direct control.

0:29:58.680 --> 0:30:01.600
<v Speaker 1>They couldn't do that with exchange servers that were on

0:30:01.680 --> 0:30:06.080
<v Speaker 1>premises on customer property, right because Microsoft doesn't have that access.

0:30:06.120 --> 0:30:08.600
<v Speaker 1>You wouldn't want Microsoft to have that access. You know,

0:30:08.600 --> 0:30:11.480
<v Speaker 1>the whole reason to have on premises systems is that

0:30:11.560 --> 0:30:14.880
<v Speaker 1>those are under your direction and control. So you don't

0:30:14.880 --> 0:30:18.080
<v Speaker 1>want to give another party access to that's that's a

0:30:18.240 --> 0:30:22.040
<v Speaker 1>security vulnerability. So that meant Microsoft had to send out

0:30:22.160 --> 0:30:25.120
<v Speaker 1>messages to their customers that essentially said, hey, you need

0:30:25.160 --> 0:30:30.920
<v Speaker 1>to install these security patches asap, like yesterday, and the

0:30:31.040 --> 0:30:34.239
<v Speaker 1>customers were in charge of actually following through on that

0:30:34.360 --> 0:30:38.000
<v Speaker 1>because they were maintaining their own on premises email servers.

0:30:38.320 --> 0:30:41.640
<v Speaker 1>And you know, some companies have it departments that will

0:30:41.680 --> 0:30:44.760
<v Speaker 1>respond immediately to these kinds of messages and install those

0:30:44.800 --> 0:30:47.560
<v Speaker 1>kind of security patches, but there are cases where that

0:30:47.760 --> 0:30:51.880
<v Speaker 1>doesn't happen. Now, sometimes the decision not to implement a

0:30:51.920 --> 0:30:55.040
<v Speaker 1>security patch right away is actually done out of a

0:30:55.080 --> 0:30:59.160
<v Speaker 1>sense of caution, because occasionally you'll get a patch that

0:30:59.200 --> 0:31:03.720
<v Speaker 1>once you install, but it has unintended consequences on your operations,

0:31:04.000 --> 0:31:08.240
<v Speaker 1>right it might break something else, And so sometimes companies

0:31:08.320 --> 0:31:11.800
<v Speaker 1>won't install a security patch on the initial day of

0:31:11.880 --> 0:31:15.200
<v Speaker 1>release just in case that patch causes other issues. They

0:31:15.240 --> 0:31:17.640
<v Speaker 1>take a wait and see approach to make sure that

0:31:17.680 --> 0:31:21.040
<v Speaker 1>they're not going to interrupt their regular business operations by

0:31:21.120 --> 0:31:24.640
<v Speaker 1>installing this patch. But that means that they remain vulnerable

0:31:25.000 --> 0:31:28.280
<v Speaker 1>for as long as the patch remains uninstalled. Now, other times,

0:31:28.320 --> 0:31:30.720
<v Speaker 1>you might have IT departments that just are not on

0:31:30.800 --> 0:31:34.040
<v Speaker 1>top of the ball, and that means some companies would

0:31:34.040 --> 0:31:37.320
<v Speaker 1>just go unprotected longer than others. Sometimes you don't really

0:31:37.360 --> 0:31:40.320
<v Speaker 1>have an IT department at all, Right, You've outsourced a

0:31:40.320 --> 0:31:43.480
<v Speaker 1>lot of stuff, and so you don't necessarily have the

0:31:44.000 --> 0:31:47.640
<v Speaker 1>assets in place to be able to install security patches.

0:31:47.720 --> 0:31:51.640
<v Speaker 1>You're depending too heavily upon third parties and as a result,

0:31:51.760 --> 0:31:55.040
<v Speaker 1>you may not have the staff who has the knowledge

0:31:55.040 --> 0:31:58.360
<v Speaker 1>of how to install those security patches. It's possible there

0:31:58.360 --> 0:32:01.880
<v Speaker 1>are still some servers out there that aren't protected, though

0:32:01.920 --> 0:32:04.200
<v Speaker 1>I hope that's not the case because it has been

0:32:04.400 --> 0:32:08.240
<v Speaker 1>like three years since this attack happened, and surely someone

0:32:08.320 --> 0:32:11.560
<v Speaker 1>has installed security updates within those three years. But you

0:32:11.640 --> 0:32:16.640
<v Speaker 1>never know anyway, what did the attackers actually achieve, what

0:32:16.880 --> 0:32:19.520
<v Speaker 1>was their goal and what did they do well by

0:32:19.560 --> 0:32:24.320
<v Speaker 1>exploiting these vulnerabilities in Microsoft's software. The hackers gained access

0:32:24.360 --> 0:32:27.920
<v Speaker 1>to these infected email servers, and that meant they could

0:32:27.960 --> 0:32:31.040
<v Speaker 1>access all the email on that server as if they

0:32:31.080 --> 0:32:34.640
<v Speaker 1>were the administrator of the server. They could read everything,

0:32:34.880 --> 0:32:37.840
<v Speaker 1>so they could go into any account on that email

0:32:37.880 --> 0:32:41.280
<v Speaker 1>server and read stuff. They could send email as someone

0:32:41.360 --> 0:32:44.280
<v Speaker 1>else if they wanted to, and they could harvest data

0:32:44.320 --> 0:32:47.200
<v Speaker 1>in contacts. They could pull all the information off of

0:32:47.280 --> 0:32:52.080
<v Speaker 1>calendars like they could gather a lot of valuable information. Now,

0:32:52.400 --> 0:32:57.080
<v Speaker 1>in this case, the targets were companies, not necessarily individuals. However,

0:32:57.400 --> 0:33:00.920
<v Speaker 1>if they were able to compromise a company system that

0:33:01.160 --> 0:33:04.120
<v Speaker 1>had an individual of interest on it, then they could

0:33:04.200 --> 0:33:07.760
<v Speaker 1>pull tons of information about that person as part of

0:33:07.840 --> 0:33:10.680
<v Speaker 1>their attack. The attackers were able to compromise the email

0:33:10.720 --> 0:33:14.400
<v Speaker 1>servers of around thirty thousand companies in the United States.

0:33:14.520 --> 0:33:17.760
<v Speaker 1>Thirty thousand companies, not people like keep in mind, like

0:33:17.800 --> 0:33:21.000
<v Speaker 1>these businesses might employ hundreds or thousands of people. They

0:33:21.000 --> 0:33:24.840
<v Speaker 1>were also able to compromise another thirty thousand businesses around

0:33:24.880 --> 0:33:28.480
<v Speaker 1>the world, so sixty thousand total. Brian Krebs, once again

0:33:28.640 --> 0:33:31.720
<v Speaker 1>was the researcher who wrote about these attacks and alerted

0:33:31.720 --> 0:33:33.680
<v Speaker 1>the world in general as to what was going on.

0:33:33.920 --> 0:33:36.680
<v Speaker 1>The revelation came just a few days after Microsoft had

0:33:36.680 --> 0:33:40.160
<v Speaker 1>released emergency security updates. By the way, there are actually

0:33:40.160 --> 0:33:43.560
<v Speaker 1>a lot of security researchers out there, the white hat

0:33:43.640 --> 0:33:46.760
<v Speaker 1>hacker types, who tend to have a general code of

0:33:46.840 --> 0:33:50.000
<v Speaker 1>honor right. If they discover a vulnerability in a system,

0:33:50.160 --> 0:33:52.440
<v Speaker 1>typically what they do is they reach out to the

0:33:52.480 --> 0:33:56.520
<v Speaker 1>company or person responsible for that system and they alert them.

0:33:56.560 --> 0:33:59.880
<v Speaker 1>They say, hey, I found this, it's possible to exploit.

0:34:00.280 --> 0:34:03.280
<v Speaker 1>You're gonna want to patch it. And typically they'll give

0:34:03.320 --> 0:34:05.560
<v Speaker 1>a little bit of time for the company to respond

0:34:05.720 --> 0:34:08.560
<v Speaker 1>to this, and then they'll wait for that response before

0:34:08.600 --> 0:34:11.520
<v Speaker 1>they reveal what they know to the public. That's the

0:34:11.560 --> 0:34:14.320
<v Speaker 1>responsible way to do it, so that the least amount

0:34:14.320 --> 0:34:17.840
<v Speaker 1>of damage is done. However, if a company fails to respond,

0:34:18.120 --> 0:34:20.920
<v Speaker 1>like if it doesn't acknowledge the fact that you have

0:34:20.960 --> 0:34:26.279
<v Speaker 1>alerted them to this vulnerability at all, well, sometimes researchers

0:34:26.320 --> 0:34:28.880
<v Speaker 1>will reveal what they know in an effort to pressure

0:34:28.960 --> 0:34:32.000
<v Speaker 1>the company into responding. If they go public and say

0:34:32.400 --> 0:34:35.800
<v Speaker 1>this vulnerability exists, then there's suddenly this enormous amount of

0:34:35.800 --> 0:34:38.680
<v Speaker 1>pressure on the company to fix it, and then also

0:34:38.840 --> 0:34:42.799
<v Speaker 1>warns the customers of that company that the product they're

0:34:42.880 --> 0:34:46.399
<v Speaker 1>using isn't secure. However, in this case, Microsoft acted very

0:34:46.480 --> 0:34:49.520
<v Speaker 1>quickly and then Brian Krebs reported on it, so back

0:34:49.560 --> 0:34:53.200
<v Speaker 1>to Microsoft. US cybersecurity experts determine that the hacker group

0:34:53.280 --> 0:34:56.560
<v Speaker 1>Halfnium was responsible for these attacks, and that in turn

0:34:56.719 --> 0:35:00.880
<v Speaker 1>Halfnium enjoyed the backing and protection of the Chinese government. Further,

0:35:01.239 --> 0:35:03.360
<v Speaker 1>the attacks were assumed to be part of a large

0:35:03.520 --> 0:35:07.560
<v Speaker 1>espionage mission to spy upon and steal information from US companies.

0:35:07.600 --> 0:35:11.360
<v Speaker 1>In particular, The Guardian reported that the US government, in

0:35:11.400 --> 0:35:14.879
<v Speaker 1>the form of the FBI, the Federal Bureau of Investigation,

0:35:15.040 --> 0:35:19.520
<v Speaker 1>took a rather extreme step to protect companies by hacking

0:35:19.719 --> 0:35:23.759
<v Speaker 1>into infected systems that belonged to various companies that had

0:35:23.840 --> 0:35:27.120
<v Speaker 1>failed to mitigate the malware themselves. In order to actually

0:35:27.160 --> 0:35:31.279
<v Speaker 1>neutralize the threat, so the FBI hacked into company systems

0:35:31.400 --> 0:35:34.799
<v Speaker 1>in order to shut down the malware. The FBI did

0:35:34.840 --> 0:35:38.120
<v Speaker 1>not go the extra step to install the security updates

0:35:38.200 --> 0:35:41.360
<v Speaker 1>on those systems. But apparently the FBI was fighting hacking

0:35:41.480 --> 0:35:44.440
<v Speaker 1>by hacking, I guess, and not directly against the hackers,

0:35:44.480 --> 0:35:47.080
<v Speaker 1>but against the same companies that had already been hacked.

0:35:47.320 --> 0:35:49.960
<v Speaker 1>When it comes to zero day vulnerabilities. I don't think

0:35:50.000 --> 0:35:53.120
<v Speaker 1>there's really anything I can say that's terribly helpful. I mean,

0:35:53.160 --> 0:35:55.000
<v Speaker 1>how do you fix a problem if you don't know

0:35:55.080 --> 0:35:57.719
<v Speaker 1>there is a problem. So, you know, it might be

0:35:57.840 --> 0:36:02.080
<v Speaker 1>tempting to blame Microsoft for leasing software platforms that had

0:36:02.120 --> 0:36:04.839
<v Speaker 1>these vulnerabilities in them, but again, if the company has

0:36:04.880 --> 0:36:07.960
<v Speaker 1>no awareness that there's an issue, how are they supposed

0:36:07.960 --> 0:36:11.120
<v Speaker 1>to fix it? So I think just saying do better

0:36:11.360 --> 0:36:13.960
<v Speaker 1>isn't really useful. You see that a lot in the

0:36:14.000 --> 0:36:18.359
<v Speaker 1>gamer community. It's very dismissive and snobby, and I hate

0:36:18.360 --> 0:36:21.400
<v Speaker 1>it and it's not useful at all. It's not helpful.

0:36:21.600 --> 0:36:25.719
<v Speaker 1>So I don't really think that's a viable response. As

0:36:25.760 --> 0:36:28.360
<v Speaker 1>for customers, well, there's even less that you can do

0:36:28.400 --> 0:36:30.800
<v Speaker 1>as a customer to prevent an attack that leverages a

0:36:30.880 --> 0:36:34.560
<v Speaker 1>zero day vulnerability in some tool that your company is using.

0:36:34.719 --> 0:36:36.560
<v Speaker 1>The best you can do is beyond the ball when

0:36:36.600 --> 0:36:39.160
<v Speaker 1>security patches come out to minimize the risk of becoming

0:36:39.160 --> 0:36:44.439
<v Speaker 1>another victim, or to at least temporarily migrate away from

0:36:44.520 --> 0:36:47.680
<v Speaker 1>a tool that's been known to have been compromised. Okay,

0:36:48.160 --> 0:36:50.760
<v Speaker 1>we're finally up to number one on the list, and maybe,

0:36:50.760 --> 0:36:52.680
<v Speaker 1>like I said, I'll do a future episodes to cover

0:36:52.760 --> 0:36:56.000
<v Speaker 1>some of the other instances that Kyle Chen mentions. So again,

0:36:56.280 --> 0:36:59.719
<v Speaker 1>if you didn't hear me before, these are all coming

0:36:59.719 --> 0:37:02.400
<v Speaker 1>from a blog post that Kyle Chen wrote for upguard

0:37:02.480 --> 0:37:04.640
<v Speaker 1>dot com, So you can always look up like the

0:37:04.719 --> 0:37:08.279
<v Speaker 1>largest data breaches in US history. That'll probably pull that

0:37:08.480 --> 0:37:11.000
<v Speaker 1>article up as a result. That's where I'm getting this

0:37:11.080 --> 0:37:16.480
<v Speaker 1>particular list. But our number one entry is Yahoo, and yeah,

0:37:16.880 --> 0:37:20.440
<v Speaker 1>this one was huge. Also, I can't really say this

0:37:20.600 --> 0:37:24.520
<v Speaker 1>one because the word one is deceptive. Honestly, this was

0:37:24.560 --> 0:37:27.640
<v Speaker 1>a series of cyber attacks that ultimately resulted in more

0:37:27.680 --> 0:37:34.040
<v Speaker 1>than three billion records being exposed to cyber criminals. Three billion.

0:37:34.239 --> 0:37:37.920
<v Speaker 1>That's nearly forty percent of the world's population. Though honestly,

0:37:37.960 --> 0:37:41.879
<v Speaker 1>that's three billion accounts. I'm sure that some people had

0:37:42.000 --> 0:37:44.680
<v Speaker 1>multiple accounts, so it's not the same thing as three

0:37:44.800 --> 0:37:48.200
<v Speaker 1>billion people, I guess, But that seems like a fine

0:37:48.280 --> 0:37:50.600
<v Speaker 1>point that we don't really need to worry about. If

0:37:50.640 --> 0:37:53.200
<v Speaker 1>we do assume that's three billion people, that means if

0:37:53.200 --> 0:37:55.960
<v Speaker 1>you were to get ten people together, four of those folks,

0:37:56.080 --> 0:37:58.960
<v Speaker 1>or really three point seven eight of them would be

0:37:58.960 --> 0:38:02.279
<v Speaker 1>affected by this. But those chances would actually depend upon

0:38:02.320 --> 0:38:04.200
<v Speaker 1>where in the world you are, right, Like, if you're

0:38:04.200 --> 0:38:06.359
<v Speaker 1>in a more developed part of the world, then the

0:38:06.360 --> 0:38:09.080
<v Speaker 1>odds are going to be higher that there'll be more

0:38:09.200 --> 0:38:12.160
<v Speaker 1>people there who were affected by this. My analogy only

0:38:12.200 --> 0:38:14.359
<v Speaker 1>works if the ten people are randomly selected from all

0:38:14.400 --> 0:38:16.200
<v Speaker 1>over the world. But anyway, I'm on a tangent. So

0:38:16.440 --> 0:38:20.240
<v Speaker 1>what happened, Well, what happened was a combination of various

0:38:20.320 --> 0:38:25.120
<v Speaker 1>hacking techniques, some international intrigue, a company staying quiet about

0:38:25.160 --> 0:38:28.320
<v Speaker 1>the whole thing for way too long after finding out

0:38:28.360 --> 0:38:32.320
<v Speaker 1>about this intrusion, possibly in an effort to avoid affecting

0:38:32.400 --> 0:38:35.760
<v Speaker 1>a massive acquisition deal that was going on with another

0:38:35.800 --> 0:38:40.719
<v Speaker 1>big company. Because this story is juicy, y'all. But we

0:38:40.760 --> 0:38:44.680
<v Speaker 1>begin in twenty thirteen, and this is when the first

0:38:44.719 --> 0:38:48.239
<v Speaker 1>and the largest hack happened, though the public would not

0:38:48.400 --> 0:38:53.600
<v Speaker 1>find out about it for another three years. Now. Arguably,

0:38:53.680 --> 0:38:57.680
<v Speaker 1>Yahoo itself remained ignorant of this attack for quite some time,

0:38:57.920 --> 0:39:00.600
<v Speaker 1>but it would take three years for the US public

0:39:00.719 --> 0:39:03.640
<v Speaker 1>to hear that this had happened. Even in that revelation,

0:39:04.000 --> 0:39:07.399
<v Speaker 1>Yahoo would downplay how many accounts were affected by a

0:39:07.440 --> 0:39:09.960
<v Speaker 1>third in fact, because, as we would later hear in

0:39:10.000 --> 0:39:15.799
<v Speaker 1>twenty seventeen, the attack compromised some three billion accounts, but

0:39:15.840 --> 0:39:18.400
<v Speaker 1>when Yahoo disclosed this attack to the public back in

0:39:18.440 --> 0:39:21.759
<v Speaker 1>twenty sixteen, Yahoo said it was just one billion, which

0:39:21.800 --> 0:39:24.359
<v Speaker 1>is weird. I was saying, just is crazy. I mean,

0:39:24.400 --> 0:39:27.040
<v Speaker 1>one billion is a number so huge that I cannot

0:39:27.160 --> 0:39:29.560
<v Speaker 1>possibly imagine it. So you might as well cop to

0:39:29.560 --> 0:39:31.520
<v Speaker 1>all three billion at that point, right, But to be

0:39:31.600 --> 0:39:34.560
<v Speaker 1>fair to Yahoo, I do think it's very possible the

0:39:34.600 --> 0:39:37.760
<v Speaker 1>company honestly did not have a grasp on how large

0:39:37.800 --> 0:39:41.320
<v Speaker 1>this attack actually was at that time. And by large

0:39:41.360 --> 0:39:45.719
<v Speaker 1>I do mean every single Yahoo account active or otherwise

0:39:46.040 --> 0:39:49.920
<v Speaker 1>was affected by this because the company had lousy security.

0:39:50.000 --> 0:39:52.800
<v Speaker 1>There's no getting around it. I don't think that's opinion,

0:39:52.840 --> 0:39:55.960
<v Speaker 1>by the way, because in twenty twelve, Yahoo had already

0:39:55.960 --> 0:39:58.760
<v Speaker 1>been the target of a different hacker attack that ultimately

0:39:58.800 --> 0:40:02.400
<v Speaker 1>compromised nearly half a million accounts. Now half a million

0:40:02.920 --> 0:40:05.520
<v Speaker 1>is a drop in the bucket compared to three billion.

0:40:05.680 --> 0:40:09.360
<v Speaker 1>It's nothing. But you would think that half a million

0:40:09.440 --> 0:40:12.480
<v Speaker 1>compromised accounts would be a serious wake up call to Yahoo,

0:40:12.560 --> 0:40:14.640
<v Speaker 1>and it would at least kick things into gears so

0:40:14.680 --> 0:40:18.080
<v Speaker 1>that the company would institute better security practices. But sadly,

0:40:18.480 --> 0:40:20.840
<v Speaker 1>that didn't really happen, or at least it didn't happen

0:40:20.880 --> 0:40:23.520
<v Speaker 1>on a scale and timeline that would prevent the massive

0:40:23.560 --> 0:40:27.680
<v Speaker 1>intrusion in twenty thirteen. Now, it is easy to conflate

0:40:28.000 --> 0:40:30.880
<v Speaker 1>the twenty thirteen attack with another one that happened in

0:40:30.920 --> 0:40:34.160
<v Speaker 1>twenty fourteen. So if you're keeping count, that's three different

0:40:34.200 --> 0:40:38.400
<v Speaker 1>hacker intrusions in three years. Twenty twelve was half a million,

0:40:38.520 --> 0:40:44.120
<v Speaker 1>twenty thirteen three billion, twenty fourteen was like five hundred million.

0:40:44.520 --> 0:40:47.040
<v Speaker 1>I think it is important to draw some distinctions between

0:40:47.080 --> 0:40:51.640
<v Speaker 1>these because authorities would ultimately identify four individuals believed to

0:40:51.640 --> 0:40:55.120
<v Speaker 1>be responsible for the twenty fourteen attack. These folks would

0:40:55.160 --> 0:40:59.280
<v Speaker 1>also end up having alleged ties to the Russian government. Thus,

0:40:59.560 --> 0:41:02.640
<v Speaker 1>there are locations that the Yahoo hack in twenty fourteen

0:41:02.880 --> 0:41:06.560
<v Speaker 1>was the result of a state backed hacking operation, that

0:41:06.640 --> 0:41:10.840
<v Speaker 1>it was essentially funded by the Russians. Now, whether the

0:41:10.840 --> 0:41:14.960
<v Speaker 1>twenty thirteen attack was state backed or not, we don't

0:41:15.160 --> 0:41:17.600
<v Speaker 1>really know. To this day. As far as I can tell,

0:41:17.840 --> 0:41:20.640
<v Speaker 1>no one has the definitive information on who was behind

0:41:20.640 --> 0:41:24.080
<v Speaker 1>the twenty thirteen attack. Marissa Meyer, who was CEO of

0:41:24.160 --> 0:41:27.719
<v Speaker 1>Yahoo during those data breaches, would testify to Congress in

0:41:27.760 --> 0:41:30.880
<v Speaker 1>twenty seventeen that the company had been unable to determine

0:41:30.880 --> 0:41:34.280
<v Speaker 1>who was responsible for that particular attack in twenty thirteen.

0:41:34.560 --> 0:41:37.120
<v Speaker 1>She also revealed that she did learn of the twenty

0:41:37.200 --> 0:41:40.759
<v Speaker 1>fourteen intrusion in twenty fourteen, this is the one that

0:41:40.800 --> 0:41:43.680
<v Speaker 1>would affect half a billion accounts, but she didn't learn

0:41:43.680 --> 0:41:47.080
<v Speaker 1>of the actual scale of the attacks until twenty sixteen.

0:41:47.360 --> 0:41:50.040
<v Speaker 1>So if that's true, it meant the attackers had some

0:41:50.800 --> 0:41:54.040
<v Speaker 1>really good ability to hide their tracks and had years

0:41:54.040 --> 0:41:57.359
<v Speaker 1>of opportunity there as well. So presumably no one knew

0:41:57.400 --> 0:42:00.359
<v Speaker 1>about the twenty thirteen attack until much later. They knew

0:42:00.360 --> 0:42:02.680
<v Speaker 1>about the twenty fourteen attack, but they didn't know how

0:42:02.760 --> 0:42:05.439
<v Speaker 1>bad it was. This also means I can't really talk

0:42:05.440 --> 0:42:08.000
<v Speaker 1>about what happened in twenty thirteen, because the truth of

0:42:08.040 --> 0:42:11.120
<v Speaker 1>the matter is there were several potential exploits that the

0:42:11.160 --> 0:42:14.200
<v Speaker 1>hackers could have used, and the twenty thirteen attack may

0:42:14.200 --> 0:42:18.320
<v Speaker 1>have used multiple avenues to get access to all the information.

0:42:18.719 --> 0:42:21.720
<v Speaker 1>We can, however, talk about what happened in twenty fourteen.

0:42:21.760 --> 0:42:24.040
<v Speaker 1>We know more about that one. It's a tail that

0:42:24.120 --> 0:42:28.960
<v Speaker 1>involves spearfishing and cookies. Now I should also mention this

0:42:29.120 --> 0:42:32.080
<v Speaker 1>version of the story comes to us courtesy of the FBI.

0:42:32.560 --> 0:42:36.000
<v Speaker 1>The agency said that the hackers first sent spearfishing emails

0:42:36.040 --> 0:42:39.239
<v Speaker 1>to Yahoo employees, So again, these are emails meant to

0:42:39.280 --> 0:42:42.440
<v Speaker 1>trick someone into taking some sort of action that benefits

0:42:42.480 --> 0:42:44.480
<v Speaker 1>the hacker, and in this case, it was clicking on

0:42:44.520 --> 0:42:48.040
<v Speaker 1>a link that ultimately would give the hackers administrator level

0:42:48.080 --> 0:42:51.680
<v Speaker 1>access to some of Yahoo's systems, but not all of

0:42:51.719 --> 0:42:54.560
<v Speaker 1>their systems. But it did give them a chance to

0:42:54.600 --> 0:42:57.759
<v Speaker 1>look at some code that Yahoo used that would be

0:42:57.840 --> 0:43:01.880
<v Speaker 1>really valuable, and this included code on how Yahoo generated

0:43:02.080 --> 0:43:06.440
<v Speaker 1>Internet cookies, So a quick refresher course on what cookies

0:43:06.480 --> 0:43:08.959
<v Speaker 1>are and what they do. With the Web, You've got

0:43:08.960 --> 0:43:12.040
<v Speaker 1>clients and you've got servers. So if you're browsing the

0:43:12.080 --> 0:43:15.800
<v Speaker 1>web on your computer or your smartphone, you're using a client.

0:43:16.280 --> 0:43:20.480
<v Speaker 1>Servers are sending or serving you the information that you're requesting.

0:43:20.640 --> 0:43:23.120
<v Speaker 1>So if you type in an address in your web

0:43:23.120 --> 0:43:27.640
<v Speaker 1>browser like www dot Google dot com, your client sends

0:43:27.680 --> 0:43:30.520
<v Speaker 1>a request to go to that website. This request gets

0:43:30.640 --> 0:43:33.840
<v Speaker 1>routed to the appropriate web server, which then sends the

0:43:33.920 --> 0:43:36.760
<v Speaker 1>data to your client, so that you are visiting Google.

0:43:36.920 --> 0:43:39.520
<v Speaker 1>So each interaction is kind of like this. Now, to

0:43:39.600 --> 0:43:43.480
<v Speaker 1>save some time and effort, we have cookies. So cookies

0:43:43.520 --> 0:43:46.480
<v Speaker 1>are little bits of info that get saved to your

0:43:46.560 --> 0:43:49.880
<v Speaker 1>computer the client, and cookies can do really handy stuff.

0:43:49.880 --> 0:43:52.680
<v Speaker 1>For example, let's say that you've logged into an account

0:43:52.680 --> 0:43:55.400
<v Speaker 1>on a service like Amazon and you're doing some shopping,

0:43:55.560 --> 0:43:57.480
<v Speaker 1>and then you navigate a way because you have to

0:43:57.480 --> 0:44:00.200
<v Speaker 1>go do something else. But then gush, darn it, you remember, oh, well,

0:44:00.200 --> 0:44:02.120
<v Speaker 1>you know what, I should have ordered something else on

0:44:02.160 --> 0:44:04.839
<v Speaker 1>top of everything else. So you go back to Amazon. Well,

0:44:04.880 --> 0:44:06.719
<v Speaker 1>if you didn't have cookies, you would need to go

0:44:06.960 --> 0:44:10.000
<v Speaker 1>all the way back through the login process because Amazon

0:44:10.040 --> 0:44:13.280
<v Speaker 1>wouldn't know it was you again. But with a cookie

0:44:13.320 --> 0:44:16.560
<v Speaker 1>stored on your computer, Amazon can say, oh, yeah, that's

0:44:16.560 --> 0:44:19.560
<v Speaker 1>Billy Bob who logged in earlier, never logged out their

0:44:19.680 --> 0:44:22.680
<v Speaker 1>back Let's just let them continue their session. So cookies

0:44:22.719 --> 0:44:26.080
<v Speaker 1>are how web pages quote unquote know where you were

0:44:26.200 --> 0:44:28.359
<v Speaker 1>the last time you visited, so that you can kind

0:44:28.360 --> 0:44:30.880
<v Speaker 1>of pick up where you left off. Of course, cookies

0:44:30.920 --> 0:44:33.240
<v Speaker 1>can do more than that, and there's a whole discussion

0:44:33.239 --> 0:44:36.080
<v Speaker 1>to be had about tracking and whatnot with cookies, but

0:44:36.080 --> 0:44:38.560
<v Speaker 1>we're going to leave that for now. So how did

0:44:38.560 --> 0:44:41.320
<v Speaker 1>the attack happen. Well, the hypothesis goes that the hackers

0:44:41.320 --> 0:44:44.800
<v Speaker 1>were able to figure out how to forge Yahoo cookies

0:44:45.080 --> 0:44:50.280
<v Speaker 1>because Yahoo was not good at practicing decent security, because

0:44:50.360 --> 0:44:53.600
<v Speaker 1>ideally each cookie would contain data that's unique to a

0:44:53.680 --> 0:44:56.360
<v Speaker 1>single individual and that would be very hard to crack.

0:44:56.440 --> 0:44:59.560
<v Speaker 1>But Yahoo apparently wasn't really doing this in that regard.

0:44:59.600 --> 0:45:02.359
<v Speaker 1>You could say Yahoo was kind of behaving sort of

0:45:02.400 --> 0:45:05.200
<v Speaker 1>like how certain German officers in World War Two were

0:45:05.400 --> 0:45:10.160
<v Speaker 1>reusing code phrases while encrypting messages using an Enigma machine. Now,

0:45:10.200 --> 0:45:13.960
<v Speaker 1>the practice of reusing those code phrases, that's what gave

0:45:14.040 --> 0:45:17.640
<v Speaker 1>British code breakers the advantage that they needed to actually

0:45:17.680 --> 0:45:20.600
<v Speaker 1>break the code. If the Germans had used more discipline

0:45:20.600 --> 0:45:23.200
<v Speaker 1>security measures, the code likely would have stood up to

0:45:23.239 --> 0:45:27.120
<v Speaker 1>the BRIT's best efforts and it wouldn't have ever been broken. Possibly.

0:45:27.200 --> 0:45:29.399
<v Speaker 1>I mean, it's impossible to say, because we know what

0:45:29.480 --> 0:45:32.040
<v Speaker 1>did happen, it's impossible to say that what could have

0:45:32.120 --> 0:45:35.560
<v Speaker 1>happened was a definite possibility. Anyway, all this meant that

0:45:35.600 --> 0:45:39.120
<v Speaker 1>the hackers could actually forge a cookie, and they could

0:45:39.160 --> 0:45:43.560
<v Speaker 1>fool Yahoo into thinking that the hackers were actually somebody else,

0:45:43.680 --> 0:45:46.279
<v Speaker 1>like a legitimate Yahoo user, So it meant that they

0:45:46.280 --> 0:45:51.120
<v Speaker 1>could access user accounts and then spy on that user's correspondence,

0:45:51.239 --> 0:45:55.359
<v Speaker 1>plus scrape any data relating to that user and their

0:45:55.400 --> 0:45:58.680
<v Speaker 1>other online accounts. So potentially they could even compromise even

0:45:58.760 --> 0:46:00.960
<v Speaker 1>more data in the process. A right, like if you

0:46:01.160 --> 0:46:04.479
<v Speaker 1>figure out a user's username and password, and you also

0:46:04.520 --> 0:46:06.840
<v Speaker 1>see that they use other services, you can try and

0:46:06.960 --> 0:46:08.759
<v Speaker 1>use that and see if it works. Because so many

0:46:08.760 --> 0:46:11.480
<v Speaker 1>people reuse their passwords. I said it in the last episode,

0:46:11.520 --> 0:46:13.799
<v Speaker 1>I'll say it again. Don't do that, And you start

0:46:13.840 --> 0:46:15.720
<v Speaker 1>to see how a data breach can be much bigger

0:46:15.760 --> 0:46:18.880
<v Speaker 1>than just this enormous scope of three billion accounts. So

0:46:19.000 --> 0:46:22.880
<v Speaker 1>coy to Marissa Meyer, Yahoo learned about the twenty fourteen attack,

0:46:23.440 --> 0:46:26.040
<v Speaker 1>even though they might not have known what the scope was,

0:46:26.239 --> 0:46:29.000
<v Speaker 1>but they kept things quiet, possibly in part because there

0:46:29.080 --> 0:46:33.920
<v Speaker 1>was this big acquisition deal Verizon wanted to acquire Yahoo.

0:46:34.280 --> 0:46:36.799
<v Speaker 1>Some of this news, however, would break before that deal

0:46:36.840 --> 0:46:39.719
<v Speaker 1>would be finalized, and Verizon would drop the offer by

0:46:39.719 --> 0:46:42.719
<v Speaker 1>a whopping three hundred and fifty million dollars, So that

0:46:42.880 --> 0:46:47.640
<v Speaker 1>was a big deduction on the final cost for that acquisition,

0:46:47.880 --> 0:46:50.319
<v Speaker 1>and even that might have been too modest. Because, of course,

0:46:50.400 --> 0:46:53.920
<v Speaker 1>later we would find out the real scope of those attacks,

0:46:54.160 --> 0:46:56.479
<v Speaker 1>lawsuits would follow, but Yahoo would pay out a little

0:46:56.520 --> 0:46:58.960
<v Speaker 1>more than one hundred million dollars as a result of

0:46:58.960 --> 0:47:02.960
<v Speaker 1>the lawsuits, a few tens of millions here, tens of

0:47:02.960 --> 0:47:06.440
<v Speaker 1>millions there in different fines, But honestly, I think it

0:47:06.480 --> 0:47:09.360
<v Speaker 1>was a pretty small amount considering the nature and scope

0:47:09.400 --> 0:47:12.000
<v Speaker 1>of the attack. Then again, the whole thing did cost

0:47:12.080 --> 0:47:15.040
<v Speaker 1>y'all who hundreds of millions of dollars because the acquisition

0:47:15.440 --> 0:47:18.560
<v Speaker 1>was reduced in price too. Only one of the four

0:47:18.600 --> 0:47:22.200
<v Speaker 1>men identified as hackers in that twenty fourteen attack was

0:47:22.320 --> 0:47:25.399
<v Speaker 1>ever arrested and sentenced for this crime was in a

0:47:25.440 --> 0:47:29.440
<v Speaker 1>Canadian citizen named Karim Borotov. He was sentenced to five

0:47:29.520 --> 0:47:33.240
<v Speaker 1>years in prison. He even wrote a book about his experiences.

0:47:33.360 --> 0:47:36.640
<v Speaker 1>The other three accused, which included two members of the

0:47:36.719 --> 0:47:39.920
<v Speaker 1>Russian FSB, that's kind of like the successor of the

0:47:40.000 --> 0:47:42.840
<v Speaker 1>KGB in the old Soviet days. They were accused, but

0:47:42.880 --> 0:47:45.640
<v Speaker 1>they were never arrested, and of course Russia denied having

0:47:45.719 --> 0:47:49.080
<v Speaker 1>any involvement in the attacks whatsoever. And that brings us

0:47:49.160 --> 0:47:52.319
<v Speaker 1>down to the last of my top ten. Again, I

0:47:52.320 --> 0:47:55.239
<v Speaker 1>don't wish to suggest that Kyle Chin had ranked these

0:47:55.280 --> 0:47:57.880
<v Speaker 1>in any specific way. This was kind of how I

0:47:57.960 --> 0:48:00.640
<v Speaker 1>ranked them, and there were sixteen other ones on that list.

0:48:00.680 --> 0:48:03.480
<v Speaker 1>So again, go to upguard dot com and search for

0:48:03.520 --> 0:48:06.080
<v Speaker 1>that article about the largest data breaches in US history

0:48:06.120 --> 0:48:07.879
<v Speaker 1>if you want to read more about them. Maybe I'll

0:48:07.880 --> 0:48:10.239
<v Speaker 1>do an episode about those later. I might do an

0:48:10.239 --> 0:48:14.040
<v Speaker 1>episode just about the ticketmaster data breach because that happened.

0:48:14.040 --> 0:48:17.840
<v Speaker 1>That are particularly bad time for ticketmasters since it's already

0:48:18.000 --> 0:48:20.600
<v Speaker 1>in the crosshairs of the US government due to an

0:48:20.600 --> 0:48:24.240
<v Speaker 1>antitrust lawsuit. So maybe I'll do a full episode about

0:48:24.280 --> 0:48:26.319
<v Speaker 1>that in the future too. In the meantime, I hope

0:48:26.400 --> 0:48:29.680
<v Speaker 1>you're all safe. I hope all your personal information is safe,

0:48:29.719 --> 0:48:38.880
<v Speaker 1>and I'll talk to you again really soon. Tech Stuff

0:48:39.000 --> 0:48:43.520
<v Speaker 1>is an iHeartRadio production. For more podcasts from iHeartRadio, visit

0:48:43.560 --> 0:48:47.080
<v Speaker 1>the iHeartRadio app, Apple Podcasts, or wherever you listen to

0:48:47.120 --> 0:48:48.080
<v Speaker 1>your favorite shows.