WEBVTT

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<v Speaker 1>Hey, Carl. Here, we're on a mission to find new

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<v Speaker 1>fans of the show. I mean, where else can you

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<v Speaker 1>get real life comedy and horror in one podcast. You

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<v Speaker 1>can do your part by leaving us a review on iTunes,

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<v Speaker 1>Spotify or wherever you get Security this week. Also, you

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<v Speaker 1>can get an ad free feed by becoming a five

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<v Speaker 1>dollars a month patron. Go to Patreon dot Security this

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<v Speaker 1>week dot com and sign up, and don't forget discord.

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<v Speaker 1>Discord dot Security this week dot com. Lots of good

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<v Speaker 1>stuff happening there. Yeah, I think that's it. So on

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<v Speaker 1>with the podcast. So a cop came to my door

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<v Speaker 1>last night and asked me where I was between five

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<v Speaker 1>and six. I said, kindergarten, how about you? And it

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<v Speaker 1>turns out the Lost and Found box at the new

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<v Speaker 1>London Superior court House doesn't have pants in my size where.

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<v Speaker 2>I thought they would.

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<v Speaker 1>Hey, and welcome back to Security this week. I'm Carl Franklin,

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<v Speaker 1>that Stwaye Laflatt and Patrick Hines and we got a

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<v Speaker 1>few stories for you things that happened last week. How

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<v Speaker 1>are you guys?

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<v Speaker 2>First of all, good, We'll enjoy the summer.

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<v Speaker 3>Yeah, I can't complain. Awesome somebody, somebody was at a

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<v Speaker 3>nice game this week.

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<v Speaker 1>Did you go to a World Cup game? I did, Patrick?

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<v Speaker 2>Yeah, yeah, I went to one of the original group

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<v Speaker 2>group games.

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<v Speaker 1>Nice.

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<v Speaker 3>That's awesome. Yeah, that's fun. That's fun.

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<v Speaker 1>Well, what does that have to do with Nintendo?

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<v Speaker 2>I caught some Pokemon?

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<v Speaker 3>Okay, I think that's iantic.

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<v Speaker 1>But oh yeah, So the first story is Nintendo confirms

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<v Speaker 1>limited employee data breach linked to third party service. Hmmm,

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<v Speaker 1>what happened?

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<v Speaker 3>That's okay? So thread actor group, shadow bites and that's

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<v Speaker 3>b y T three dollars sign because you know, hackers.

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<v Speaker 1>You noticed these things. These names are are becoming like

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<v Speaker 1>rock band names, like you know, they they have aspirations

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<v Speaker 1>of being famous.

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<v Speaker 3>Right, No Labyrinth of Pain Hacking group yet though, So

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<v Speaker 3>you know what, honestly, I think the three of us

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<v Speaker 3>need to start the Labyrinth of Pain Hacking. That was us,

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<v Speaker 3>Labyrinth of Pain LOP. That that would be our initials

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<v Speaker 3>is LOP.

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<v Speaker 2>We could rename the podcast.

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<v Speaker 1>Patrick, what are you going to play?

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<v Speaker 2>I know I'm playing the keyboard Pokemon. I already told you.

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<v Speaker 1>All right what happened here? You guys?

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<v Speaker 3>Anyways, hit tiny Pulse a third party employee survey platform

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<v Speaker 3>used by Nintendo of America. They claim to have x

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<v Speaker 3>filtrated eight hundred and fifty nine meg which doesn't sound

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<v Speaker 3>like a lot, but and it's just text. Almost a

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<v Speaker 3>gig is a lot of text. Nintendo says their own

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<v Speaker 3>systems were not compromised, which is important supply chain. It's yeah, absolutely,

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<v Speaker 3>and we're seeing this more and more, you know. It's

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<v Speaker 3>it's hard to hit Nintendo in that They've they've been

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<v Speaker 3>punched out a lot over the last thirty years of

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<v Speaker 3>you know, being in the market, so a lot of

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<v Speaker 3>attackers have tried to steal new games from them and

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<v Speaker 3>get access to systems, in reverse engineering their devices and whatever. Right,

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<v Speaker 3>Nintendo has pretty rock solid security team. Although there was

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<v Speaker 3>there was a way on Nintendo's website on their shop

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<v Speaker 3>to steal coins and gets up anyways, we won't talk

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<v Speaker 3>about that, but they do a pretty good job in

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<v Speaker 3>this particular case. If you can't hit Nintendo, what do

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<v Speaker 3>you do other than going to a Nintendo's employees home

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<v Speaker 3>and start bringing into their home Wi Fi and then

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<v Speaker 3>back routing into the office, which we don't you know, recommend,

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<v Speaker 3>but you try and hit a third party, you hit

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<v Speaker 3>somebody who's a little bit weaker, who doesn't you know,

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<v Speaker 3>take care of cybersecurity the way they should. They're probably

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<v Speaker 3>a smaller shop and they're you know, they get hit

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<v Speaker 3>and unfortunately it has an Attendo data on there. Actually,

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<v Speaker 3>you know what's interesting is tiny Poles probably isn't Nintendo's

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<v Speaker 3>probably not the only customer they have. So if I

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<v Speaker 3>were a customer of Time Post right now and now

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<v Speaker 3>we're using them for surveys, I would be kind of

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<v Speaker 3>concerned at this point did my data at leaked? It

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<v Speaker 3>just wasn't important enough right to make the news. So

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<v Speaker 3>that's our PSA for today, a try not to be

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<v Speaker 3>important to people. Yeah, yeah, exactly. Listen, that's what we

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<v Speaker 3>try and do.

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<v Speaker 1>Carl, to fly under the radar exactly.

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<v Speaker 3>So nobody knows who we are.

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<v Speaker 4>The Well.

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<v Speaker 3>The other thing is, uh, I know, we'll talk policies

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<v Speaker 3>and policies nobody wants to talk about like what's the

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<v Speaker 3>right how do we choose the right vendor, how do

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<v Speaker 3>we make sure they're doing the right things. So you

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<v Speaker 3>should have a policy for third party event don't have it,

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<v Speaker 3>whether it's third party software or third party vendors or

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<v Speaker 3>don't have any right questions you would ask them, you know,

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<v Speaker 3>how are they doing security? How are they training their folks,

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<v Speaker 3>how are they making are they doing yearly pen tasts?

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<v Speaker 3>Are their software being tested? Et cetera, et cetera, et cetera.

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<v Speaker 2>Yeah, yeah, And unfortunately the answer could very well be

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<v Speaker 2>I don't know. Yeah, And you know, it's it's not

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<v Speaker 2>the first thing a company does unless they are security

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<v Speaker 2>background people. So there's plenty of sites out there that

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<v Speaker 2>even claim to be in the security space that don't

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<v Speaker 2>have their act together.

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<v Speaker 1>Oh yeah, all right. We moved on auto jack how

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<v Speaker 1>a single page can remote control execute the host running

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<v Speaker 1>your AI agent.

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<v Speaker 2>So I had an argument with someone recently, someone who

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<v Speaker 2>I respect quite a bit, where we talked about whether

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<v Speaker 2>you could respect me. I wasn't talking about you. Where

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<v Speaker 2>we were talking about a paper that said that, you know,

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<v Speaker 2>you AI cannot be secured. Yeah, And the person who

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<v Speaker 2>wrote this says they've been proven right by you know,

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<v Speaker 2>mathematical proofs. And it's my counter is, nothing is one

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<v Speaker 2>hundred percent secure, right, It's all degrees of trade offs

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<v Speaker 2>and risk. AI is in the early days, and I

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<v Speaker 2>think there's ways we can do we can deal with

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<v Speaker 2>AI that that can be secure, but it's going to

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<v Speaker 2>be it's going to be a slippery slope for a while.

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<v Speaker 2>So we're going to see a lot of these reports.

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<v Speaker 2>We're going to see a lot of this fear, uncertainty,

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<v Speaker 2>and doubt. One of the ways that you can deal

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<v Speaker 2>with AI is to limit or minimize completely the text

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<v Speaker 2>that a user can input. Have the user make choices,

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<v Speaker 2>but not type in text, not up, not upload documents,

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<v Speaker 2>give them choices a wizard experience. They can't always do that,

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<v Speaker 2>but when you can, that's powerful for mitigating the data input.

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<v Speaker 2>Think about SQL injection. Can you seql inject a multiple

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<v Speaker 2>choice textbox? Well, you can if the SEQL isn't parameterized.

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<v Speaker 2>But if you go back to the SQL example, you

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<v Speaker 2>can't secure a SQL server. If the answer could be

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<v Speaker 2>the hacker is going to break in a Microsoft and

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<v Speaker 2>and and put malware in Microsoft SQL server, nothing can

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<v Speaker 2>be fully secured. So some of these we have to

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<v Speaker 2>understand when these are the equivalent. In that case, you.

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<v Speaker 1>Could also use another layer of abstraction. So for example,

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<v Speaker 1>if you have are you thinking of having a text

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<v Speaker 1>box in your software that allows the users to run reports,

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<v Speaker 1>for example, right instead of doing that you basically have

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<v Speaker 1>your you know, your your your report interface of the

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<v Speaker 1>things that they want and then you have a set

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<v Speaker 1>number of reports that use the AI to get the data.

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<v Speaker 1>It's not a great example, but you know, having just

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<v Speaker 1>another layer instead of allowing them to type anything.

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<v Speaker 2>I mean, we talk about defense and depth. So every

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<v Speaker 2>every every measure helps because it minimizes the service area well.

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<v Speaker 3>And one of the things you got to be careful of.

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<v Speaker 3>A lot of a lot of companies are racing towards

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<v Speaker 3>putting up their agentic uh you know, systems and platforms

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<v Speaker 3>and that sort of stuff. Right, So in doing that,

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<v Speaker 3>they go, well, my MCP server and for those of

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<v Speaker 3>you who aren't playing around with agentic AI, your model

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<v Speaker 3>context Protocol server, right is how think of an MCP server.

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<v Speaker 3>Is how an LLM would call a useful tool, right, right.

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<v Speaker 3>And the tool might be a web browsing tool, it

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<v Speaker 3>might be a database backup tool maybe whatever.

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<v Speaker 2>Right.

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<v Speaker 3>So MCP servers, all they're doing is taking in some

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<v Speaker 3>jason and they're and they're exposing functions tools that your

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<v Speaker 3>agents can use. So let's say you installed the open

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<v Speaker 3>clon you wanted to give it the ability to check

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<v Speaker 3>out the latest stocks. Right. Because an LLM is trained,

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<v Speaker 3>it means it doesn't know the native native stocks natively, right,

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<v Speaker 3>It just doesn't have it in its brain, so it

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<v Speaker 3>has to go search the web. Well, what better way

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<v Speaker 3>to have it searched the web is if it had

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<v Speaker 3>a tool it could do that with, and that's what

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<v Speaker 3>MCP servers are. The problem is you start implementing a

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<v Speaker 3>ton of these tools right your toolbox. You want one

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<v Speaker 3>hundred tools in there, just in case my agent needs

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<v Speaker 3>the ability to see what computers are on the network,

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<v Speaker 3>or to do facial recognition on cameras or whatever. Right there,

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<v Speaker 3>you could create an MCP ver for all of those things.

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<v Speaker 3>The downside is a lot of companies, as they're racing

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<v Speaker 3>to put these MCP servers up and running, there's no

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<v Speaker 3>authentication to the MCP for local host. So if I'm

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<v Speaker 3>running those MCP servers locally, what it says, Oh, well,

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<v Speaker 3>if the request came from inside the house, just let

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<v Speaker 3>it happen, right, because we must trust them.

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<v Speaker 2>And that is one hundred percent against horror movie. More.

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<v Speaker 2>Even King is rolling over in the graves that he

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<v Speaker 2>visits every night.

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<v Speaker 3>And he's like I told you so many times, if

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<v Speaker 3>it's in the house, you need to.

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<v Speaker 1>Worry about it. It kind of to me, It kind

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<v Speaker 1>of seems to me lately that you know, tools like

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<v Speaker 1>Claude can call tools directly, and so if you've got

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<v Speaker 1>a command line interface and you expose that as a tool,

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<v Speaker 1>you know, Claude doesn't need an MCP server. It can

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<v Speaker 1>just go querry the tool, which uses the API, which

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<v Speaker 1>brings back the the stuff that it can do, and

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<v Speaker 1>et cetera, et cetera. So I don't know if I'm

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<v Speaker 1>gonna if we're gonna see a shift away from MCP

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<v Speaker 1>servers and so towards tools.

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<v Speaker 3>It's interesting you say that because there's there's this big

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<v Speaker 3>war on the Internet around you know, is MCP dead?

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<v Speaker 3>And I can tell you from the from a person

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<v Speaker 3>who's sort of steeped in AI day in and day out.

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<v Speaker 3>MCP has a lot of benefits to it, like for

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<v Speaker 3>the ability for us to lock down who can call

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<v Speaker 3>MCP servers and what tools and functions they have access to. So,

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<v Speaker 3>for example, Claude might be able to call my terminal

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<v Speaker 3>and s sh into a box and now it has

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<v Speaker 3>unfettered access to do anything. And you're kind of hoping

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<v Speaker 3>Claude follows the rules, whereas my MCP server, I don't

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<v Speaker 3>have to expose every tool and I can I have

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<v Speaker 3>control over the flow of those tools.

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<v Speaker 1>So it's kind of like store procedures for AI tool.

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<v Speaker 3>Yes exactly, y, yeah exactly. That is a great analogy.

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<v Speaker 2>Right.

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<v Speaker 3>You could write this straight up query and just issue

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<v Speaker 3>it with a SQL command or yeah, use store procedures

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<v Speaker 3>and you're in a safer place. I think people will

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<v Speaker 3>realize that. Yeah, MCPS kind of the way is the

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<v Speaker 3>way to go.

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<v Speaker 1>Okay, good. So what happened here? Well story yeah.

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<v Speaker 3>Jack, right, So Microsoft found an exploit in their autogen studio.

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<v Speaker 3>So autogen studio is just their studio for creating agentic AIS.

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<v Speaker 3>What they saw was a malicious web page that is

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<v Speaker 3>rendered by an AI browsing agent. So if I if

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<v Speaker 3>I have an AI that goes to use a browsing

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<v Speaker 3>MCP and it comes back to that particular local browser,

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<v Speaker 3>the web socket that gets opened up, you can open

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<v Speaker 3>up a malicious web socket to the local MCP server.

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<v Speaker 3>So the browser is sitting on the MCP server, right,

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<v Speaker 3>So when the browser goes out to the malicious page

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<v Speaker 3>and the page comes back and loads on the browser

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<v Speaker 3>on the MCP server, a malicious socket opens back up

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<v Speaker 3>to local host, and now your MCP server goes, oh, well,

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<v Speaker 3>I should trust this because it came from my local

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<v Speaker 3>network and look like it came from the Internet, because

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<v Speaker 3>it was a pipe opened from that malicious page but

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<v Speaker 3>opened back to the MCP server, and that's that's where

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<v Speaker 3>they're finding. Now, okay, now I can get this to

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<v Speaker 3>run you know, PowerShell scripts, and I can get to

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<v Speaker 3>do anything at this point because really I have control

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<v Speaker 3>over what that MCP server is doing because it's innately

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<v Speaker 3>trusting anything that comes from local host. So you really

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<v Speaker 3>don't want to make sure that you know you have authentication,

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<v Speaker 3>even if it's local. I don't know what it hurts

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<v Speaker 3>you to throw it off authentication locally for.

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<v Speaker 2>It's assumptions. Yeah, people assume it's safe and therefore it's

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<v Speaker 2>it's it makes it more.

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<v Speaker 3>Of and it's interesting. We've we've seen this as in

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<v Speaker 3>the hacking world for decades. Is what's called SSRF. So

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<v Speaker 3>SSRF is where a server side request comes back to

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<v Speaker 3>the server. It's where I can hit a web page

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<v Speaker 3>and let's say there's an administrative webpage on port eighty

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<v Speaker 3>eighty that I don't have access to on the internet.

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<v Speaker 3>That is only access locally on the box. But there's

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<v Speaker 3>another web server running on that site, right on that computer.

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<v Speaker 3>If I can manipulate the normal website to make a

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<v Speaker 3>call to itself on port eighty eighty because it came

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<v Speaker 3>from the local box, now it's trusted and I can

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<v Speaker 3>add my user account, and I can do all sorts

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<v Speaker 3>of things. And we've broken into several places, actually a

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<v Speaker 3>really large school district doing this, where we're just like, hey,

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<v Speaker 3>I'm going to hit your public school website. I'm going

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<v Speaker 3>to look like I'm searching for classes, and instead I'm

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<v Speaker 3>going to very customly craft that server to reach back

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<v Speaker 3>out to itself and add a user that I can

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<v Speaker 3>then log in as this is the same exact thing,

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<v Speaker 3>but this is just for MCP servis Wow.

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<v Speaker 1>Yep, be careful out there, kids, All right, we moved on.

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<v Speaker 1>Everything's bigger and better in Texas. Even data breaches. Oh no,

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<v Speaker 1>this is crazy. Hunting and fishing license incident catches three

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<v Speaker 1>million residents.

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<v Speaker 2>So is it data that wouldn't be out there already?

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<v Speaker 3>A driver's license number, passport numbers, emails, phone numbers, addresses,

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<v Speaker 3>age also lists social security numbers.

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<v Speaker 2>Social secure numbers have been out there?

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<v Speaker 3>Sorry yeah yeah yeah. And how many people in Texas

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<v Speaker 3>actually go register license anyways? Don't they just hunting fish?

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<v Speaker 1>I mean, hey man, that is an elitist comment.

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<v Speaker 2>Wow, so they read too.

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<v Speaker 1>Texas is an awesome state.

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<v Speaker 3>Texas is great. Actually Texas is they just opened up. Okay,

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<v Speaker 3>Texas has a really big federal hog problem.

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<v Speaker 1>They have a big everything.

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<v Speaker 3>It's if you were if Texas hunters were to kill

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<v Speaker 3>two million federal hogs a year, there would still be

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<v Speaker 3>a population of three million of them every year.

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<v Speaker 1>And it would drive barbecue prices way down, so.

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<v Speaker 3>To the point where it's destroying so many crops. Texas

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<v Speaker 3>has said you don't need a hunting license to shoot

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<v Speaker 3>a feral hog, and you don't even need to be

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<v Speaker 3>You can be anywhere. You could be the middle of

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<v Speaker 3>Austin and if feral hog comes through, you can just

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<v Speaker 3>shoot it in the face and that's find no questions out.

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<v Speaker 2>It sounds like you just there's so many you could

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<v Speaker 2>just go to Walmart and find them.

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<v Speaker 3>I think I think you could at this point.

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<v Speaker 4>Yeah.

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<v Speaker 1>So from what I know about Italy, I'm I have

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<v Speaker 1>some friends in Tuscany and they you know, everybody's got

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<v Speaker 1>like an olive grove, right, Yeah, so they hunt chingale,

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<v Speaker 1>which are wild bores, which are essentially feral pigs.

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<v Speaker 4>Wow, the Germans take too, Yeah.

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<v Speaker 1>Yeah, they hunt them and they cook them and guess what,

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<v Speaker 1>they're delicious. Yeah. So you the combination of, yeah, we

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<v Speaker 1>got a big feral hog from in Texas and everybody

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<v Speaker 1>should go shoot them. It's just going to result in

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<v Speaker 1>a lot of delicious.

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<v Speaker 3>Meal, right, and then the barbecue capital of the world.

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<v Speaker 3>So why not?

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<v Speaker 4>Right?

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<v Speaker 1>Why not? Anyhow?

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<v Speaker 3>Deviating from our faral hog conversation, Yeah, I mean, you know,

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<v Speaker 3>I get it. It's I agree with Patrick. We all

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<v Speaker 3>talked tongue in cheek about how you know, SOFIA security

308
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<v Speaker 3>numbers are out there, and that's sort of passport numbers

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<v Speaker 3>not so much in general, like they're not as easy

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<v Speaker 3>to get, but you can still get passport numbers as well.

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<v Speaker 3>You know, in this particular case, credit monitoring is the

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<v Speaker 3>way to go, right, your your data has probably been

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<v Speaker 3>le leaked. You probably want to just monitor it.

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<v Speaker 4>Make sure.

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<v Speaker 1>I'm reading this article in the Register, and there's in

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<v Speaker 1>the middle it says more context and there's a few

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<v Speaker 1>links in one of them, it's Texas wu's TP link

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<v Speaker 1>over China links and security vulnerabilities.

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<v Speaker 3>Yeah, go Texas, way to go, Way to go, Texas

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<v Speaker 3>Way to go.

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<v Speaker 1>They're doing the dirty work for us. All right. So

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<v Speaker 1>is that all we have for this story? You know,

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<v Speaker 1>it was a big.

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<v Speaker 3>Breach, that's it, just it. Yeah, if you have if

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<v Speaker 3>you have a hunting license in Texas, you may want

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<v Speaker 3>to just make sure you monitor your credit.

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<v Speaker 1>Make sure you still have it. All right. This is

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<v Speaker 1>a this was a good one for me. Pixel smash,

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<v Speaker 1>a critical ffm peg vulnerability turns media files into weapons.

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<v Speaker 4>Oh no.

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<v Speaker 1>Ffm peg is a command line tool and you can

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<v Speaker 1>call it from a program using standard in Standard out

333
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<v Speaker 1>and it just does every kind of conversion and.

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<v Speaker 4>Oh yeah, including a conversion.

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<v Speaker 1>Oh.

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<v Speaker 3>You know what's funny is from the first time I

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00:17:26.799 --> 00:17:30.640
<v Speaker 3>saw ffm peg, like where I was doing media stuff

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<v Speaker 3>and it's like, oh, you got to download ffm peg,

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00:17:32.680 --> 00:17:35.640
<v Speaker 3>and I was like, m hell no, that looks like

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<v Speaker 3>a hacker tool.

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<v Speaker 1>It did.

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00:17:37.440 --> 00:17:40.920
<v Speaker 3>It was like command line driven. It was like and

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00:17:40.960 --> 00:17:44.799
<v Speaker 3>it's like, oh, download this DLL from this janky site somewhere,

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<v Speaker 3>and I'm like honestly. I mean, ffm peg is probably

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<v Speaker 3>embedded in almost everything. Yeah that does media. It's a

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<v Speaker 3>it's an amazing encoder decode.

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<v Speaker 1>It can encode and decode packets in real time. Yeah,

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<v Speaker 1>like you know standard audio to MP three audio, stream

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<v Speaker 1>it over the internet. I mean it's really really smart.

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<v Speaker 3>Yeah. Yeah, so who I don't was it one guy

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<v Speaker 3>who put ffm peg together? Do we know if it

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<v Speaker 3>came from like sound Blaster or like one of those

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<v Speaker 3>type of companies.

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<v Speaker 1>I don't know the history. I don't know that.

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<v Speaker 3>Yeah, Creative Labs prominence of it, Yeah, I don't know.

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<v Speaker 3>So needless to say, it's probably on every computer you

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<v Speaker 3>could imagine right today. Right, even if you're not using

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00:18:22.960 --> 00:18:25.559
<v Speaker 3>ffm peg. If you've if you're just trying to you know,

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<v Speaker 3>fast forward through this podcast for things that are important

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<v Speaker 3>to you, you probably have a copy of fmpeg running

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<v Speaker 3>on your computer somewhere doing some sort of media conversions.

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<v Speaker 3>Whether it's games or camptasier or whatever. I'm sure there's

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00:18:37.960 --> 00:18:40.680
<v Speaker 3>something running it. So this is kind of an important

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00:18:40.720 --> 00:18:43.599
<v Speaker 3>deal to most people, even if you don't think it is. Yeah,

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00:18:43.680 --> 00:18:47.839
<v Speaker 3>it's been patched, right, so this is you know, this

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00:18:47.839 --> 00:18:51.079
<v Speaker 3>this was an out of bounds right for the ffm PEG,

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<v Speaker 3>not a you know, a big deal. Yes, but it's

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<v Speaker 3>been patched. So if you are running ffm peg, or

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<v Speaker 3>if you think you're running ffm PEG, if you're running

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00:19:00.400 --> 00:19:06.000
<v Speaker 3>things like Jellyfinn or plex or thumbnail generators, cloud trans coders,

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00:19:06.000 --> 00:19:08.160
<v Speaker 3>there's all sorts of things that actually use f MPEG.

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<v Speaker 3>If you're running any of those, you may want to

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<v Speaker 3>go pack.

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<v Speaker 1>And it doesn't look like it was malicious. It was

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<v Speaker 1>just a bug, right, It was like one you said,

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<v Speaker 1>one off. It was just like a math error or

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<v Speaker 1>something around in this match.

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<v Speaker 2>Yeah.

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<v Speaker 3>So, and I haven't seen any active you know, exploits

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<v Speaker 3>in the wilds or anything along those lines.

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<v Speaker 4>Just yeah, which is kind of the progression.

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00:19:27.880 --> 00:19:31.680
<v Speaker 2>It's like it's it's out there being it's being actively

383
00:19:32.759 --> 00:19:35.519
<v Speaker 2>you know used or the stories and then it's in

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<v Speaker 2>the known exploitive vulnerabilities list from.

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00:19:38.039 --> 00:19:41.079
<v Speaker 3>Sissa Well and now with AI the moment this got

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00:19:41.119 --> 00:19:44.000
<v Speaker 3>released as a oh this is an issue, right, somebody

387
00:19:44.039 --> 00:19:46.240
<v Speaker 3>will start weaponizing it by our next podcast.

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<v Speaker 2>So does it is that it's a tool that you use.

389
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<v Speaker 2>It wouldn't be hosted on the internet, would.

390
00:19:52.240 --> 00:19:55.640
<v Speaker 1>It, Yes, it could be. It could be in the

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00:19:55.880 --> 00:19:59.839
<v Speaker 1>executable path of any other DLL that your website could.

392
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<v Speaker 1>So the real problem is this magic YUV decoder which

393
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<v Speaker 1>is enabled by default in lib v codec, LIBA v

394
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<v Speaker 1>codec whatever.

395
00:20:14.039 --> 00:20:18.519
<v Speaker 2>That was a very important legal case codec.

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<v Speaker 1>It's almost like live v memorycks. So FFmpeg eight point

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<v Speaker 1>one point two contains the fix. Okay, so there you go,

398
00:20:31.160 --> 00:20:34.000
<v Speaker 1>go get it. Should we take a break, Let's do it. Yeah,

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00:20:34.079 --> 00:20:35.720
<v Speaker 1>let's take a little break. We'll be right back after

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<v Speaker 1>these very important messages, and we're back. It's security this week.

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<v Speaker 1>I'm Carl, that's Dwayne and Patrick. The next story. Scattered

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00:20:47.319 --> 00:20:52.920
<v Speaker 1>Spider members, especially the Drummer plead guilty to hacking Transport

403
00:20:53.039 --> 00:20:56.240
<v Speaker 1>for London. Oh no, we talked about the transport hack.

404
00:20:56.119 --> 00:20:59.160
<v Speaker 3>Right, Yeah we did. Yeah, caused all sorts of damages

405
00:20:59.160 --> 00:21:02.680
<v Speaker 3>twenty nine million dollars in a GPP, about thirty eight

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00:21:02.720 --> 00:21:10.920
<v Speaker 3>million dollars in US dollars in damages. Twenty thousand transportation

407
00:21:10.960 --> 00:21:16.319
<v Speaker 3>employees had to do in person password resets, which is

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00:21:16.359 --> 00:21:17.279
<v Speaker 3>a pain in the ass.

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00:21:18.079 --> 00:21:19.440
<v Speaker 1>So that's a long line.

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<v Speaker 3>Yeah, yeah, I know, right, And this was this was

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<v Speaker 3>a straight up standard Scattered Spider attack. This was social

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<v Speaker 3>engineering I'm sorry.

413
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<v Speaker 1>I'm sorry. That was a long queue, wasn't it.

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00:21:29.240 --> 00:21:31.480
<v Speaker 3>Oh yeah, it's not a line.

415
00:21:31.519 --> 00:21:32.240
<v Speaker 1>It's not a line.

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00:21:32.240 --> 00:21:35.440
<v Speaker 3>Wait, if you say line in London, what's a line?

417
00:21:35.599 --> 00:21:36.359
<v Speaker 3>It is something you say.

418
00:21:36.599 --> 00:21:38.400
<v Speaker 1>It's something you read as an actor.

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<v Speaker 3>Oh okay, all right, okay, Like.

420
00:21:40.400 --> 00:21:41.480
<v Speaker 1>Whose line is it? Anyway?

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00:21:41.519 --> 00:21:43.599
<v Speaker 3>A line is something you read. A que is something

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00:21:43.599 --> 00:21:45.920
<v Speaker 3>you stand in on it. Yeah, understood, sir.

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00:21:46.160 --> 00:21:50.079
<v Speaker 1>I'm sure it's something you draw with numbers on its class.

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00:21:50.960 --> 00:21:52.279
<v Speaker 2>Now you're going to make a cocaine joke.

425
00:21:53.640 --> 00:21:56.079
<v Speaker 3>Wait, that's a line and a line.

426
00:21:56.960 --> 00:21:58.279
<v Speaker 1>I got a line on this guy?

427
00:21:58.960 --> 00:22:03.759
<v Speaker 3>Moving on for our g rated Uh yeah yeah listeners.

428
00:22:04.759 --> 00:22:07.519
<v Speaker 3>So yeah, Needless to say, Scattered Spider is really really

429
00:22:07.519 --> 00:22:11.400
<v Speaker 3>good at social engineer. They're good at manipulating help desks,

430
00:22:11.440 --> 00:22:15.599
<v Speaker 3>they're good at, you know, understanding the lingo. For any

431
00:22:15.640 --> 00:22:17.519
<v Speaker 3>of you who are super interested in some of the

432
00:22:17.519 --> 00:22:20.920
<v Speaker 3>pioneers in this space, read The Arted Deception by Kevin Mitnick.

433
00:22:22.599 --> 00:22:28.160
<v Speaker 3>Fantastic story. Auto Uber our social engineer, brilliant guy, and

434
00:22:28.319 --> 00:22:30.759
<v Speaker 3>he goes through all of the reasons why you know,

435
00:22:30.960 --> 00:22:33.839
<v Speaker 3>large telco companies would trust him, right because he had

436
00:22:33.839 --> 00:22:35.960
<v Speaker 3>the lincol He knew the layout of the place. He knew,

437
00:22:36.000 --> 00:22:39.240
<v Speaker 3>people he knew, right, So needless to say, they're very

438
00:22:39.240 --> 00:22:41.799
<v Speaker 3>good at it, and they were able to break in

439
00:22:41.920 --> 00:22:44.680
<v Speaker 3>and all sorts of damages. So yeah, this but yeah,

440
00:22:44.720 --> 00:22:46.680
<v Speaker 3>two people caught surprising.

441
00:22:46.880 --> 00:22:49.039
<v Speaker 2>Yeah, there's a story about Kevin mcnick where he was

442
00:22:49.160 --> 00:22:53.359
<v Speaker 2>He walked onto a truck at and t truck and

443
00:22:53.440 --> 00:22:55.960
<v Speaker 2>convinced them he was a field supervisor, and he stole

444
00:22:56.000 --> 00:22:58.519
<v Speaker 2>their manuals. Yeah yeah, I need to borrow these and

445
00:22:58.759 --> 00:23:02.119
<v Speaker 2>any like criticized them and said, well, you know you're

446
00:23:02.160 --> 00:23:04.240
<v Speaker 2>not doing this, you should be doing this, and he'd

447
00:23:04.279 --> 00:23:05.119
<v Speaker 2>be doing this wrong.

448
00:23:05.519 --> 00:23:12.519
<v Speaker 3>He broke into a telcode like remote data center and.

449
00:23:12.480 --> 00:23:16.400
<v Speaker 2>He swear he hid the pot the pots line for

450
00:23:16.559 --> 00:23:18.759
<v Speaker 2>the FBI had investigator.

451
00:23:18.319 --> 00:23:20.000
<v Speaker 3>No, no, no, Although that one was awesome too.

452
00:23:20.079 --> 00:23:22.200
<v Speaker 1>You know I saw this. It was a movie. What

453
00:23:22.279 --> 00:23:26.400
<v Speaker 1>was it, Oh yeah, the Pink Panther where they you know,

454
00:23:26.480 --> 00:23:29.279
<v Speaker 1>they dressed up as servicemen and they go yeah.

455
00:23:29.440 --> 00:23:31.319
<v Speaker 3>Yeah, I mean it still works, right. So he actually

456
00:23:31.400 --> 00:23:34.519
<v Speaker 3>walked into one of the Telco substations and he had

457
00:23:34.519 --> 00:23:36.720
<v Speaker 3>brought a buddy with him at one point and they

458
00:23:36.720 --> 00:23:39.359
<v Speaker 3>were just like he knew how to crack the lock

459
00:23:39.519 --> 00:23:41.400
<v Speaker 3>and get in and one night he went in by

460
00:23:41.480 --> 00:23:43.319
<v Speaker 3>himself just to check out the teleco gear and that

461
00:23:43.319 --> 00:23:45.240
<v Speaker 3>sort of stuff, and they were security guards there and

462
00:23:45.240 --> 00:23:47.160
<v Speaker 3>they pulled him up, and without missing a beat, he

463
00:23:47.240 --> 00:23:49.799
<v Speaker 3>was like, do you yeah, I work at this station,

464
00:23:49.960 --> 00:23:53.279
<v Speaker 3>this this person over here. I work on the second floor.

465
00:23:53.480 --> 00:23:56.079
<v Speaker 3>I sit right next to Susie. She's my boss. But

466
00:23:56.200 --> 00:23:59.960
<v Speaker 3>any new song in verse. And the security guy was like, okay, really,

467
00:24:00.359 --> 00:24:02.319
<v Speaker 3>I'm gonna call Susie. And he picked up the phone

468
00:24:02.359 --> 00:24:03.960
<v Speaker 3>and called her. Yeah, and he's like, yeah, there's a

469
00:24:04.000 --> 00:24:05.839
<v Speaker 3>guy here who says he works for you, says this

470
00:24:05.880 --> 00:24:07.759
<v Speaker 3>is his name, and it was a real name of

471
00:24:07.799 --> 00:24:10.519
<v Speaker 3>a right of a guy you work in. She's like, wow,

472
00:24:10.559 --> 00:24:13.519
<v Speaker 3>that's really weird. Let me talk to him. And he convinced,

473
00:24:13.680 --> 00:24:16.519
<v Speaker 3>like Kevin Minna, convinced the guard to give him the phone. Yeah,

474
00:24:16.519 --> 00:24:18.279
<v Speaker 3>and he's talking to her and he's like, hey, I

475
00:24:18.319 --> 00:24:20.079
<v Speaker 3>know I shouldn't be here, and she's like who are you?

476
00:24:20.119 --> 00:24:22.359
<v Speaker 3>Hand the phone back to the car and he's like, yeah,

477
00:24:22.400 --> 00:24:24.480
<v Speaker 3>I know, I know. I'll see you Monday morning whatever, right,

478
00:24:25.039 --> 00:24:26.559
<v Speaker 3>and then he hangs the phone up and the guard

479
00:24:26.640 --> 00:24:29.279
<v Speaker 3>was like, ugh, all right, fine, well you know, yeah

480
00:24:29.319 --> 00:24:31.119
<v Speaker 3>you should you should take off. You really shouldn't be

481
00:24:31.119 --> 00:24:34.519
<v Speaker 3>here after the story. Yeah, it's impressive. It's impressive.

482
00:24:34.519 --> 00:24:38.400
<v Speaker 1>It is an impressive story. Yeah yeah, all right, so

483
00:24:38.559 --> 00:24:41.319
<v Speaker 1>this is just a story of a heist and uh,

484
00:24:41.359 --> 00:24:43.799
<v Speaker 1>you know, nothing that it affects you. It's just a

485
00:24:43.799 --> 00:24:48.000
<v Speaker 1>good story. Yep. So the next one is scammers use

486
00:24:48.160 --> 00:24:53.119
<v Speaker 1>fake GitHub stars and virus total reviews to spread crypto Clipper,

487
00:24:53.640 --> 00:24:57.960
<v Speaker 1>a multi platform malware campaign abuses fake trust signals to

488
00:24:58.079 --> 00:25:02.200
<v Speaker 1>infect Windows and Mac users with a crypto clipper packed

489
00:25:02.240 --> 00:25:05.799
<v Speaker 1>with fifteen thousand, five hundred attacker wallets.

490
00:25:05.960 --> 00:25:07.119
<v Speaker 3>This is impressive.

491
00:25:07.279 --> 00:25:08.400
<v Speaker 1>Yeah, I knew you would think that.

492
00:25:08.359 --> 00:25:13.119
<v Speaker 3>Social engineering. Yeah, this one's pretty awesome. So social engineering. Right,

493
00:25:13.160 --> 00:25:17.039
<v Speaker 3>you create this this GitHub repo whatever it is, and

494
00:25:17.079 --> 00:25:18.440
<v Speaker 3>you got to jacket up right. You got to get

495
00:25:18.440 --> 00:25:20.839
<v Speaker 3>people to download it so you could send it a

496
00:25:20.839 --> 00:25:21.400
<v Speaker 3>bunch of emails.

497
00:25:21.480 --> 00:25:25.240
<v Speaker 2>You add add reputation, you add credibiliony yeah, absolutely, half planet.

498
00:25:25.799 --> 00:25:28.519
<v Speaker 3>So how do you add reputation? Okay, so we manipulate

499
00:25:28.519 --> 00:25:31.359
<v Speaker 3>the ge hub stars, so everybody stars. It's amazing. It's

500
00:25:31.400 --> 00:25:34.279
<v Speaker 3>like the top GitHub rebo It's like open claw right, Okay, great,

501
00:25:34.599 --> 00:25:36.279
<v Speaker 3>that's going to get some people download it, but not

502
00:25:36.319 --> 00:25:39.440
<v Speaker 3>a lot. Then what they did is they source Forage

503
00:25:39.480 --> 00:25:42.680
<v Speaker 3>is a place that you can download packages and software

504
00:25:42.720 --> 00:25:44.079
<v Speaker 3>and that sort of stuff. So they put it on

505
00:25:44.119 --> 00:25:46.359
<v Speaker 3>SourceForge to make it look legitimate and pumped it up

506
00:25:46.359 --> 00:25:50.200
<v Speaker 3>there too by forty four thousand likes and whatnot. But

507
00:25:50.279 --> 00:25:52.519
<v Speaker 3>that's still not enough because people still might think it's

508
00:25:52.559 --> 00:25:55.079
<v Speaker 3>a virus. So they went to virus total, one of

509
00:25:55.119 --> 00:25:58.440
<v Speaker 3>the premier places for checking software to see if they're viruses,

510
00:25:59.000 --> 00:26:01.960
<v Speaker 3>and created tons of accounts and pointed it at this

511
00:26:02.039 --> 00:26:04.039
<v Speaker 3>and said no, thumbs up, this is good stuff.

512
00:26:04.119 --> 00:26:04.440
<v Speaker 1>Wow.

513
00:26:04.559 --> 00:26:07.160
<v Speaker 3>Right, So anybody who went to that length and went, well,

514
00:26:07.160 --> 00:26:09.160
<v Speaker 3>I'm gonna go to virus total, it would have come

515
00:26:09.200 --> 00:26:11.079
<v Speaker 3>up as now it is clean. You can just install it.

516
00:26:11.079 --> 00:26:11.839
<v Speaker 3>It's not a big deal.

517
00:26:11.960 --> 00:26:12.400
<v Speaker 1>Wow.

518
00:26:12.519 --> 00:26:18.519
<v Speaker 3>Then they created ai narrated YouTube tutorials, oh geez on

519
00:26:18.680 --> 00:26:21.519
<v Speaker 3>how to use it? Right, this piece of software that

520
00:26:21.559 --> 00:26:23.079
<v Speaker 3>did you know nothing or whatever?

521
00:26:23.160 --> 00:26:27.039
<v Speaker 1>Right, So there are people, fake people on YouTube that they.

522
00:26:26.960 --> 00:26:28.599
<v Speaker 3>Are saying, oh, this is an awesome piece of software.

523
00:26:28.839 --> 00:26:30.640
<v Speaker 3>Watch I installed it. This is what it does for me?

524
00:26:30.880 --> 00:26:31.359
<v Speaker 3>Well whatever?

525
00:26:31.440 --> 00:26:32.359
<v Speaker 1>Right? Unable.

526
00:26:32.519 --> 00:26:37.200
<v Speaker 3>So they went this full route of full on marketing,

527
00:26:37.319 --> 00:26:40.359
<v Speaker 3>social engineering as many people as possible, and what the

528
00:26:40.599 --> 00:26:43.200
<v Speaker 3>what the package did. If you installed it, it would

529
00:26:43.279 --> 00:26:47.400
<v Speaker 3>watch the clipboard and when you made a crypto purchase

530
00:26:47.599 --> 00:26:50.720
<v Speaker 3>or you transferred to another wallet or whatever, when it

531
00:26:50.799 --> 00:26:53.240
<v Speaker 3>went to do that, it would paste their own wallet

532
00:26:53.279 --> 00:26:55.000
<v Speaker 3>in as the destination.

533
00:26:55.400 --> 00:26:55.759
<v Speaker 1>Wow.

534
00:26:55.839 --> 00:26:57.960
<v Speaker 3>So unless you were really good at watching it, you

535
00:26:58.039 --> 00:27:00.480
<v Speaker 3>knew the money was leaving your account, right, you knew

536
00:27:00.480 --> 00:27:03.160
<v Speaker 3>it was going somewhere else. But unless you really kind

537
00:27:03.200 --> 00:27:05.400
<v Speaker 3>of looked at that address once it hit your ledger,

538
00:27:05.880 --> 00:27:07.000
<v Speaker 3>you wouldn't have noticed it.

539
00:27:07.039 --> 00:27:09.680
<v Speaker 1>So sucks if you were trying to pay off ransomware

540
00:27:10.640 --> 00:27:14.559
<v Speaker 1>and you're like, I paid, I paid you one hundred

541
00:27:14.599 --> 00:27:16.279
<v Speaker 1>thousand dollars and they're like, no, you didn't.

542
00:27:18.599 --> 00:27:22.759
<v Speaker 3>Now you're like, oh, curse you. So impressive to say

543
00:27:22.759 --> 00:27:25.599
<v Speaker 3>the least is a good marketing campaign.

544
00:27:25.640 --> 00:27:27.240
<v Speaker 1>So how does the story end? Did they get caught,

545
00:27:28.319 --> 00:27:29.119
<v Speaker 1>they took it down?

546
00:27:29.759 --> 00:27:32.720
<v Speaker 2>Well, let's let's let's talk about the moral of the story,

547
00:27:32.759 --> 00:27:35.519
<v Speaker 2>which I don't think anybody's gonna get, which is we

548
00:27:35.680 --> 00:27:38.920
<v Speaker 2>have to stop bots from being able to do stars

549
00:27:39.519 --> 00:27:42.839
<v Speaker 2>and voting on virus total and all that stuff. Because

550
00:27:42.839 --> 00:27:45.960
<v Speaker 2>I doubt it happened over months and years. It happened

551
00:27:45.960 --> 00:27:46.799
<v Speaker 2>over days, an.

552
00:27:46.759 --> 00:27:48.279
<v Speaker 1>Hour, Ye wasn't done by humans.

553
00:27:48.359 --> 00:27:50.720
<v Speaker 2>Yeah, absolutely, And so we have to figure out the

554
00:27:50.400 --> 00:27:54.079
<v Speaker 2>bought recognition on these platforms has to become the new

555
00:27:54.119 --> 00:27:55.279
<v Speaker 2>currency of reputation.

556
00:27:55.799 --> 00:27:57.880
<v Speaker 3>Yeah, and stars can be bought. Like a lot of

557
00:27:57.920 --> 00:28:00.319
<v Speaker 3>people don't know that. Like I talked to someone friends

558
00:28:00.319 --> 00:28:01.799
<v Speaker 3>and I'm like, they're like, oh, but it has forty

559
00:28:01.799 --> 00:28:04.920
<v Speaker 3>four thousand likes on you know, Amazon, And I'm like, okay,

560
00:28:05.200 --> 00:28:07.519
<v Speaker 3>Like that doesn't mean anything because I can easily just

561
00:28:07.559 --> 00:28:10.160
<v Speaker 3>go and buy forty four thousand likes if I want.

562
00:28:11.960 --> 00:28:14.920
<v Speaker 3>So stars can be bought. You know, I don't trust

563
00:28:16.000 --> 00:28:19.880
<v Speaker 3>engagement metrics because engagement metrics at this point, every marketer

564
00:28:19.960 --> 00:28:22.880
<v Speaker 3>on the planet is targeting manipulation of engagement metrics, right,

565
00:28:23.000 --> 00:28:24.359
<v Speaker 3>so be careful of those.

566
00:28:24.400 --> 00:28:26.920
<v Speaker 1>So, like, if you're looking at a product on Amazon

567
00:28:27.119 --> 00:28:29.799
<v Speaker 1>and it's got four and a half stars and one

568
00:28:29.799 --> 00:28:32.839
<v Speaker 1>thousand reviews and all of them are five star reviews

569
00:28:33.599 --> 00:28:37.000
<v Speaker 1>except for maybe one disgruntled person which they put in

570
00:28:37.039 --> 00:28:39.480
<v Speaker 1>there just to make it look real, right, exactly. It's

571
00:28:39.480 --> 00:28:41.440
<v Speaker 1>all about it was broken when it got Yeah, oh

572
00:28:41.440 --> 00:28:42.000
<v Speaker 1>it was terrible.

573
00:28:42.039 --> 00:28:44.240
<v Speaker 3>And you're like, ah, well, mine won't be broken.

574
00:28:44.319 --> 00:28:45.920
<v Speaker 4>I mean, what are the odds, right, yeah?

575
00:28:46.039 --> 00:28:49.160
<v Speaker 1>Right, yep, geez that's that's depressing because that's how I

576
00:28:49.200 --> 00:28:49.839
<v Speaker 1>buy things.

577
00:28:49.880 --> 00:28:52.000
<v Speaker 3>I mean, it's honestly, it's how we all do it.

578
00:28:52.240 --> 00:28:55.440
<v Speaker 1>How else are you going to know if if it's

579
00:28:56.319 --> 00:29:00.440
<v Speaker 1>what you want. Yeah, yeah, absolutely, that's depressing. Oh my god.

580
00:29:00.559 --> 00:29:02.839
<v Speaker 1>So they didn't get caught, but they took it down

581
00:29:03.599 --> 00:29:06.240
<v Speaker 1>and nobody knows who the people are, right, all right?

582
00:29:06.400 --> 00:29:07.680
<v Speaker 2>Do we know how much they got away with?

583
00:29:07.920 --> 00:29:11.279
<v Speaker 3>M doesn't say hard to tell, really, yeah, I mean,

584
00:29:11.920 --> 00:29:13.359
<v Speaker 3>you'd have to have people.

585
00:29:13.160 --> 00:29:14.319
<v Speaker 2>Just check your balance.

586
00:29:14.880 --> 00:29:16.079
<v Speaker 4>Oh, give me a second, I'll look.

587
00:29:19.839 --> 00:29:22.279
<v Speaker 1>I was gonna make a Dwayne joke here, Like Dwayne,

588
00:29:22.319 --> 00:29:26.359
<v Speaker 1>maybe this is more lucrative than your current job.

589
00:29:26.880 --> 00:29:32.279
<v Speaker 3>It's not, all right.

590
00:29:32.359 --> 00:29:36.839
<v Speaker 1>So our lead story today hackers leak facial recognition records

591
00:29:36.880 --> 00:29:42.240
<v Speaker 1>tied to millions of Madison Square Garden visitors. So, and

592
00:29:43.160 --> 00:29:46.799
<v Speaker 1>this this is interesting on a couple levels because Madison

593
00:29:46.920 --> 00:29:49.720
<v Speaker 1>Square Garden was in the news the knixt game. The

594
00:29:49.759 --> 00:29:53.839
<v Speaker 1>President was there falling asleep and like he always does.

595
00:29:53.880 --> 00:29:57.640
<v Speaker 1>But then, you know, so what was happening was that

596
00:29:57.680 --> 00:30:01.119
<v Speaker 1>there was a breach of the security cameras. Right. The

597
00:30:01.160 --> 00:30:03.440
<v Speaker 1>security cameras are used to make sure that there are

598
00:30:03.480 --> 00:30:06.960
<v Speaker 1>no bad guys walking in the arena, that kind of thing,

599
00:30:08.039 --> 00:30:11.240
<v Speaker 1>and apparently that became the target of this hack.

600
00:30:11.680 --> 00:30:12.000
<v Speaker 4>Yeah.

601
00:30:12.039 --> 00:30:16.079
<v Speaker 3>Absolutely, And this here again was also shiny Shiny Hunters.

602
00:30:16.160 --> 00:30:17.480
<v Speaker 4>These guys have been busy, man.

603
00:30:17.920 --> 00:30:21.440
<v Speaker 3>They are the most active group I've seen recently. So

604
00:30:21.480 --> 00:30:26.000
<v Speaker 3>this was another Shiny Hunter's you know attack. Where again,

605
00:30:26.119 --> 00:30:31.160
<v Speaker 3>remember social engineering. There's not a lot of detail around

606
00:30:31.559 --> 00:30:36.279
<v Speaker 3>how this data was stolen yet, but the leak, they say,

607
00:30:36.519 --> 00:30:41.000
<v Speaker 3>allegedly includes facial recognition biometric records tied to millions of

608
00:30:41.039 --> 00:30:45.319
<v Speaker 3>people at the venues, but it also can expose things

609
00:30:45.440 --> 00:30:51.000
<v Speaker 3>like customer information, internal security assessments, background checks, attendee records,

610
00:30:51.359 --> 00:30:56.359
<v Speaker 3>customer correspondences, especially if they had filed complaints with Madison

611
00:30:56.400 --> 00:30:59.119
<v Speaker 3>Square Gardens. So what do you do about it?

612
00:31:00.440 --> 00:31:02.079
<v Speaker 1>Patrick's got an answer, don't you. Patrick.

613
00:31:02.039 --> 00:31:03.000
<v Speaker 3>You can't change your face.

614
00:31:03.200 --> 00:31:06.079
<v Speaker 2>Just cut your face off.

615
00:31:07.319 --> 00:31:10.079
<v Speaker 1>When you go out in the morning. Don't wear your face.

616
00:31:10.880 --> 00:31:13.240
<v Speaker 3>Or somebody else's face. Actually, if you guys, have any

617
00:31:13.279 --> 00:31:14.960
<v Speaker 3>of you guys been to the Spy Museum in DC.

618
00:31:15.680 --> 00:31:18.079
<v Speaker 1>No, but are you thinking of the humanal masks?

619
00:31:18.880 --> 00:31:22.000
<v Speaker 3>Okay, yeah, So the International Spy Museum they have an

620
00:31:22.119 --> 00:31:26.160
<v Speaker 3>entire wall of its face masks that are faces that

621
00:31:26.279 --> 00:31:30.079
<v Speaker 3>people will wear and walk around to full facial recognition.

622
00:31:30.960 --> 00:31:34.440
<v Speaker 1>You know, Hollywood's been doing that for years, dressing people

623
00:31:34.519 --> 00:31:35.400
<v Speaker 1>up as different people.

624
00:31:35.839 --> 00:31:38.200
<v Speaker 2>It was a show. I can't remember the name of

625
00:31:38.240 --> 00:31:41.279
<v Speaker 2>the show. I think it was Person of Interest.

626
00:31:40.680 --> 00:31:42.039
<v Speaker 4>Which was a person of Interest.

627
00:31:42.160 --> 00:31:44.559
<v Speaker 3>Oh my god, it's so good and we're almost there,

628
00:31:44.599 --> 00:31:44.960
<v Speaker 3>by the way.

629
00:31:45.000 --> 00:31:48.200
<v Speaker 2>But yeah, the guy guy was walking. They were looking

630
00:31:48.200 --> 00:31:50.640
<v Speaker 2>for a guy and they couldn't find him. They were

631
00:31:50.680 --> 00:31:53.799
<v Speaker 2>sending you know, they were looking at all the feeds

632
00:31:53.799 --> 00:31:56.559
<v Speaker 2>in the world to find him. And he had his

633
00:31:56.799 --> 00:32:01.440
<v Speaker 2>hair grown out over his face. He had an eye

634
00:32:01.519 --> 00:32:04.279
<v Speaker 2>drawn on the side of his face, he had you know,

635
00:32:04.559 --> 00:32:09.160
<v Speaker 2>no no eyebrows, his mouth was covered and he was there.

636
00:32:09.400 --> 00:32:12.319
<v Speaker 2>It was to throw off the facial recognition. Yeah, and

637
00:32:12.400 --> 00:32:14.559
<v Speaker 2>he looked like an absolute freak. So we fit in

638
00:32:14.559 --> 00:32:16.880
<v Speaker 2>in a lot of places in New York City.

639
00:32:17.000 --> 00:32:18.920
<v Speaker 4>Was fine, burning and but.

640
00:32:18.559 --> 00:32:20.480
<v Speaker 2>But I thought that was an interesting way to like,

641
00:32:20.799 --> 00:32:22.839
<v Speaker 2>don't have a face that that would be this lea.

642
00:32:23.079 --> 00:32:27.279
<v Speaker 3>So I I do a fair bit of like robotics

643
00:32:27.319 --> 00:32:30.799
<v Speaker 3>and object detection on video recognition and that sort of stuff. Right,

644
00:32:31.480 --> 00:32:34.519
<v Speaker 3>And there's this group of people who have been creating

645
00:32:34.559 --> 00:32:39.960
<v Speaker 3>the anti facial recognition sweater so it's a sweater you

646
00:32:40.000 --> 00:32:43.200
<v Speaker 3>can wear and the moment you put it on, it

647
00:32:43.200 --> 00:32:45.039
<v Speaker 3>doesn't detect you as a human anymore.

648
00:32:45.119 --> 00:32:45.640
<v Speaker 1>Wow.

649
00:32:45.839 --> 00:32:48.799
<v Speaker 3>And it's like it's like the sweater actually has a

650
00:32:48.839 --> 00:32:52.039
<v Speaker 3>picture of like a house and people in it, but

651
00:32:52.079 --> 00:32:55.240
<v Speaker 3>they're kind of skewed and it's so it thinks that

652
00:32:55.319 --> 00:32:57.480
<v Speaker 3>it's looking at a perspective far and off away, but

653
00:32:57.519 --> 00:33:00.400
<v Speaker 3>it can't identify the person at that distance. And just

654
00:33:00.480 --> 00:33:02.200
<v Speaker 3>so you can just walk through and it doesn't.

655
00:33:01.920 --> 00:33:03.799
<v Speaker 1>Pick you up. That is really cool.

656
00:33:04.480 --> 00:33:09.079
<v Speaker 3>Gibson actually wrote a book called Pattern Recognition that put

657
00:33:09.160 --> 00:33:12.559
<v Speaker 3>this postulate forward I believe, I don't know, fifteen twenty

658
00:33:12.640 --> 00:33:15.279
<v Speaker 3>years ago, but apparently people are working on it.

659
00:33:15.319 --> 00:33:16.160
<v Speaker 4>So cool stuff.

660
00:33:16.759 --> 00:33:19.440
<v Speaker 3>It's the ugliest goddamn sweater I've ever seen. Yeah, of course,

661
00:33:19.519 --> 00:33:21.359
<v Speaker 3>I mean it's it is.

662
00:33:21.599 --> 00:33:22.920
<v Speaker 2>That means it's very in now.

663
00:33:23.079 --> 00:33:24.759
<v Speaker 3>Yeah, exactly, it's something.

664
00:33:24.920 --> 00:33:28.480
<v Speaker 1>So maybe they just train their facial recognition stuff to

665
00:33:28.519 --> 00:33:39.200
<v Speaker 1>recognize that sweater and exactly ugly sweater. Steal this sweater. Well,

666
00:33:39.400 --> 00:33:41.920
<v Speaker 1>I guess that's a show. That's everything that we found

667
00:33:42.000 --> 00:33:44.759
<v Speaker 1>that happened last week. So for more, we'll see you

668
00:33:44.839 --> 00:33:46.759
<v Speaker 1>next week on Security this week, Bye.

669
00:33:46.599 --> 00:33:47.039
<v Speaker 4>Bye, thank you.

670
00:33:47.079 --> 00:34:00.799
<v Speaker 2>Guys seven,
