WEBVTT - A Conversation with Jason Haddix from Flare

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<v S1>Welcome to Unsupervised Learning, a security, AI and meaning focused

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<v S1>podcast that looks at how best to thrive as humans

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<v S1>in a post AI world. It combines original ideas, analysis,

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<v S1>and mental models to bring not just the news, but

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<v S1>why it matters and how to respond. All right, Jason,

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<v S1>welcome to Unsupervised Learning.

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<v S2>Thanks for having me. First time on unsupervised learning. Super excited.

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<v S1>Yeah, absolutely. So as most people know, we know each

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<v S1>other very well. And you've also started your own business recently.

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<v S1>You've got Arcanum Security up and running. So congrats on that.

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<v S1>Thank you.

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<v S2>I mean, you were you were the one who pushed

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<v S2>me to do it. So I got to thank you

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<v S2>on that one.

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<v S1>Yeah. Yeah. Really exciting to see that. And, uh, you're

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<v S1>also field CSO for, uh, for flare, which is super exciting.

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<v S1>So I'm sure you've got a million companies, like beating

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<v S1>down the door to try to, like, be associated with

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<v S1>you and like, get you on the team and everything.

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<v S1>So what was, uh, the thing that stood out and

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<v S1>made you want to do it with flair.

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<v S2>Yeah. So that's actually a really great question, I think. Um,

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<v S2>so but between leaving Ubisoft, which, you know, actually wearing

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<v S2>the merch right now, um, between leaving Ubisoft, the video

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<v S2>game company, and being CSO there and then coming back

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<v S2>into Red team, there was a year where I worked

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<v S2>with a buddy of mine at another consultancy before I

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<v S2>started my own thing. And so over the past couple

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<v S2>of years, I've been on the red teaming side, um,

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<v S2>a lot of red teaming, a lot of pen testing.

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<v S2>And what I noticed was that kind of adversary methodologies

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<v S2>had changed a little bit from what the very known

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<v S2>penetration testing methodologies and red teaming methodologies, um, had, uh,

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<v S2>you know, had consistently shown, at least from, you know,

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<v S2>me talking to peers and, you know, reviewing reports. And

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<v S2>I did a bunch of research in the last two years.

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<v S2>And so that shift was basically, um, adversaries are not

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<v S2>using hacking methods, at least in the traditional sense as

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<v S2>their first stop shop right there, looking on the dark

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<v S2>web for pre-owned accounts and credentials for organizations. And so

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<v S2>I had to figure out a way to add that

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<v S2>to my methodology when we did red team tests. And

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<v S2>so I baked off, you know, all of the companies

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<v S2>that did this because I wanted to, you know, provide

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<v S2>the best, uh, you know, adversary emulation that I could.

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<v S2>And so when I looked at all these companies, I

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<v S2>stumbled upon flair, um, at a conference, met one of

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<v S2>their reps and started using their trial and, uh, used it.

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<v S2>And it was it was an order of magnitude better

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<v S2>than any other vendor as far as finding creds for

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<v S2>an organization. Um, and they do it in a, you know,

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<v S2>a CRM, you know, kind of way, a credential exposure

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<v S2>management threat, Intel management way. I mean, they sell that,

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<v S2>but they also let pen testers and red teamers use

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<v S2>the data as well for their customers. So if I

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<v S2>have a customer for Arcanum, you know, I can use

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<v S2>the I can use my relationship with them to look

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<v S2>up creds on that company in the red team test.

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<v S2>And so, um, like five out of the last six

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<v S2>red team engagements that I had done in 2023, uh,

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<v S2>flare credentials, which are pulled off of the dark web,

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<v S2>telegram channels and stuff like that. Um, they came from

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<v S2>the success came from the credentials that came out of flare. Um,

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<v S2>and so I started talking to them and I was like, hey, um,

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<v S2>you know, like, really like what you guys are doing.

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<v S2>I ended up doing like a, I think one podcast

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<v S2>with them. Um, and then that transitioned to them being like, hey,

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<v S2>would you like to come work part time as our

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<v S2>field CISO? And I was like, yeah, absolutely. So that's

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<v S2>how that relationship started. And and now, you know, I

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<v S2>do content for them. Um, I advise them on product.

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<v S2>I do all kinds of stuff like randomly, you know,

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<v S2>it's a startup. Everybody wears every hat. So yeah, that's

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<v S2>that's how that started.

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<v S1>No, that's very cool. And it flows really well with

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<v S1>what you're doing in Arcanum. Right. Because you're doing red

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<v S1>team over there. You're doing training over there. You're doing

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<v S1>all kinds of stuff.

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<v S2>Yeah, I mean, it comes in handy with the red teaming.

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<v S2>The purple teaming. Um, you know, the, you know, the

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<v S2>times when we do consult a little bit on blue

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<v S2>teaming as well, which is, you know, threat intelligence and

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<v S2>exposure management and um, yeah, really, it's been awesome. And

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<v S2>they've been really receptive to from, you know, when I

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<v S2>am a customer asking for, you know, features, they're on it,

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<v S2>they're like, hey, like we'll build that soon. It's on

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<v S2>the roadmap. So um, and they're one of the only players,

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<v S2>I think that also works with, um, like those pentesting companies, right,

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<v S2>where you can redistribute that threat Intel data and that

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<v S2>exposure data to use it in your engagements. So I

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<v S2>think that's really cool too.

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<v S1>Yeah, I really like that red team focus that that's

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<v S1>really powerful. Um, so what what would another protection scheme

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<v S1>look like for a customer? So let's say you're a

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<v S1>regular customer and you buy a flare. Is this essentially

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<v S1>threat Intel that's coming down to you to notify you

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<v S1>that a credential has been compromised? So, you know, to

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<v S1>rotate it? Is that like the main use case?

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<v S2>Yeah. So in in kind of the dark web world. Right.

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<v S2>That attackers kind of go through there's, there's really the

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<v S2>stepping stone or like I call it levels of, of

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<v S2>data that's exposed via the dark web. Right. And so

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<v S2>this is part of that research I did in my

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<v S2>last two years. And so the first level is creds

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<v S2>that have already made it to the clear web. Right.

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<v S2>So this is stuff that you will see. And have

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<v S2>I been pwned and leaked X. And you know some

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<v S2>things like this. Right. Um, and so these things are

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<v S2>already on the public web. They're posted via paste sites,

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<v S2>they're already on torrent listed sites and stuff like that.

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<v S2>And so that's the first place an adversary will go, okay, um,

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<v S2>to look for creds. Now, uh, there are several other intermediaries,

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<v S2>but eventually you get to one of the higher tiers,

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<v S2>the higher levels. And that level is looking on telegram, discord, WhatsApp. Um, and,

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<v S2>you know, some of the dark web forums that are

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<v S2>invite only to find really fresh what we call, um,

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<v S2>you know, basically they're the result of Steeler malware. Um,

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<v S2>and so these packs of, um, you know, data from

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<v S2>Steeler malware end up being sold, and they include, uh,

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<v S2>credentials and cookies, um, from a user that might be

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<v S2>associated to your business. And so that's where attackers will

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<v S2>end up. And then right after that is the step

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<v S2>where they actually try to hack you. Right? Um, but

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<v S2>they'll do all the easy stuff first.

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<v S1>Okay. And then so we hear a lot about like

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<v S1>toufar bypass or whatever. So is this where the Toufar

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<v S1>bypass comes in with the cookie stuff?

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<v S2>Yeah, exactly. So, um, you can have your credentials stolen

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<v S2>in a myriad of ways, right? Uh, and that is

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<v S2>stymied by kind of traditional, um, you know, traditional security

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<v S2>advice of using toufar. Right. And I think that what

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<v S2>a lot of people miss out on is that most

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<v S2>of the time when credentials are stolen, other than from, like,

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<v S2>a breach, right? They're stolen via credit stealer malware. which

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<v S2>owns your whole computer. And that means that the cookies

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<v S2>in your browser, like Chrome or Firefox, are stolen from,

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<v S2>you know, from that malware and sold as well. And

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<v S2>so that means that you can just inject a cookie

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<v S2>into a website and never be asked for a password

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<v S2>or a cookie. You know, the cookie. You know, for

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<v S2>those who aren't really, um, you know, aware of the,

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<v S2>you know, technology or I'm sure most people who watch

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<v S2>your show, you know, are aware of what cookies are,

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<v S2>but in most senses, authentication cookies. Just tell the website

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<v S2>that you are already authenticated, and you can view a

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<v S2>page for a certain amount of time or an authenticated

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<v S2>section of an application. So you have you have Netflix, right.

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<v S2>And so, you know, you leave Netflix logged in for weeks, months,

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<v S2>years sometimes. Right. And that's controlled by the cookie. When

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<v S2>your browser visits Netflix, the first thing it does is

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<v S2>it looks for the Netflix authentication cookie. And it says yes,

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<v S2>Daniel has that one. It's it's hasn't set to expire yet.

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<v S2>And so we know this is Daniel coming from this

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<v S2>cookie and we'll let them in without asking for username

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<v S2>and password.

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<v S1>Yeah, that totally makes sense because like in the course

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<v S1>of a session or even, you know, half a day

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<v S1>or a day, you're hitting hundreds of things, right? And

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<v S1>you can't be re-authoring each time. So you're just sending

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<v S1>a cookie. So that makes sense. So I imagine in

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<v S1>the forums they're going to have like decay numbers for

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<v S1>how long this token is going to be valid.

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<v S2>Yeah. And the dark and the dark web forums, you know,

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<v S2>they'll they'll sell the packs of, you know, like Red

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<v S2>line is the biggest credential stealing malware right now. In fact,

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<v S2>I think Cisa came out with an advisory just yesterday that, uh,

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<v S2>or the DoD just came out with an advisory saying

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<v S2>it's their number one, like focus is to fight, um,

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<v S2>Red line, which is one of the credential stealer malware

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<v S2>and um, and yeah, so that'll steal the cookies and

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<v S2>the credentials and a whole bunch of other stuff too.

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<v S2>Like when you see one of the packs being sold,

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<v S2>it's usually, uh, you know, sold. And it has a

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<v S2>whole bunch of zips in it, and the zips in

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<v S2>it have the result of the malware. You get a

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<v S2>screenshot of the desktop, you get that person's stored Chrome

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<v S2>credentials for all the sites they visit. You get the

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<v S2>cookies for all the sessions that the browser is logged into.

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<v S2>So all of their consumer apps, you get a full

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<v S2>hardware listing of every app that's running on the infected machine. Yeah.

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<v S2>It's crazy. I mean, I mean, Red line is a

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<v S2>pretty advanced infostealer. So yeah.

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<v S1>Yeah, I saw a thing yesterday. I got it marked for, um,

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<v S1>for the show later. Uh, Russian national Roudometof, uh, just

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<v S1>got captured for the red line. Yeah. And evidently they've

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<v S1>got full source code and everything, and, uh. Yeah, bad

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<v S1>OpSec was, uh, which has never happened before. Bad ops

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<v S1>never happened. Yeah.

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<v S2>Yeah.

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<v S1>I mean, yeah. That's interesting. So. So you just really

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<v S1>like the flow that flare is using here to like,

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<v S1>are they, are they better at going deeper into these forums.

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<v S1>Like what do you think sets him above right? Because

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<v S1>there's a lot of people playing in this space.

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<v S2>Yeah. For sure. So, um, I mean, I don't recommend

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<v S2>a product unless I, I review like kind of the

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<v S2>whole space, right? So, um, you know, like, in another life,

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<v S2>I probably could have been a Gartner analyst or something

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<v S2>like that, you know, but, uh, uh, but yeah, it

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<v S2>is the level at which, um, they go for their credentials.

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<v S2>It's really the research team. They're finding other novel ways

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<v S2>to of surfacing the data that ends up on the

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<v S2>dark web. Um, you know, I'm, uh, I may, may

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<v S2>or may not be aware of a new feature that's

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<v S2>going to launch pretty soon around this whole thing of cookies. Um,

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<v S2>coming out in, uh, in a couple of weeks. But, um,

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<v S2>to help people just. Yeah, in mass invalidate, um, cookies

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<v S2>from B2C companies. Right. So, like, Netflix is a great example, right?

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<v S2>So we could, you know, flare could work with Netflix

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<v S2>and give them a list of all cookies that have

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<v S2>been compromised, and then they can feed that into a

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<v S2>script that will invalidate those sessions. Oh yeah, and in

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<v S2>real time over API too. So, um, so those are

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<v S2>some exciting things. And that's the kind of stuff like,

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<v S2>you know, we talk about internally, they're building quickly, but

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<v S2>it is really the, the depth of the, um, you know,

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<v S2>the threat research or whatever you want to call it, right?

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<v S2>That the team that gets into the forums and, and

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<v S2>the telegrams and the discords is better than any other

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<v S2>I've seen. So, I mean, it's really at the end

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<v S2>of the day for any of those platforms, it's how

0:11:11.700 --> 0:11:14.459
<v S2>deep can they get into the ecosystem. Um, you know,

0:11:14.490 --> 0:11:16.830
<v S2>so bad that, you know, sometimes, you know, we see

0:11:16.860 --> 0:11:19.260
<v S2>people talking about flare on the dark web and like

0:11:19.290 --> 0:11:22.290
<v S2>lamenting the fact that we're, you know, like exposing all

0:11:22.320 --> 0:11:23.730
<v S2>their stuff. So yeah.

0:11:24.030 --> 0:11:27.450
<v S1>That's cool. Yeah, yeah. Uh, what what other stuff are

0:11:27.450 --> 0:11:30.630
<v S1>you thinking about right now? Um, in terms of, like,

0:11:30.660 --> 0:11:34.620
<v S1>malware activity that that, um, flare already catches or you're

0:11:34.620 --> 0:11:37.559
<v S1>looking forward to them catching like other types of, like,

0:11:37.590 --> 0:11:40.500
<v S1>forward leaning malware or attacks.

0:11:40.830 --> 0:11:46.520
<v S2>So exposure of, you know, exposure of, um, malware that

0:11:46.520 --> 0:11:50.569
<v S2>is like infostealer malware or credential stealer malware, um, is

0:11:50.600 --> 0:11:53.540
<v S2>is kind of what flare started with. But, you know,

0:11:53.570 --> 0:11:58.160
<v S2>that's part of a sub, you know, category of threat Intel. Right.

0:11:58.190 --> 0:12:00.050
<v S2>And so like threat Intel includes a whole bunch of

0:12:00.050 --> 0:12:03.859
<v S2>types of IOCs, right. Um, and so over the course of,

0:12:03.890 --> 0:12:06.199
<v S2>you know, this last year and this next year, we've

0:12:06.200 --> 0:12:10.490
<v S2>really been focused on also providing traditional threat Intel or

0:12:10.490 --> 0:12:13.640
<v S2>forum monitoring or brand monitoring for a business when a

0:12:13.670 --> 0:12:17.720
<v S2>campaign might start against them. Or we've been working with

0:12:17.750 --> 0:12:20.870
<v S2>the US government and several branches of government, you know,

0:12:20.900 --> 0:12:25.220
<v S2>tracking even, you know, some high profile threats to the nation,

0:12:25.309 --> 0:12:29.360
<v S2>election integrity, you name it. We're working with big companies

0:12:29.360 --> 0:12:32.720
<v S2>who I can't mention, you know, but AI companies and,

0:12:32.750 --> 0:12:35.690
<v S2>you know, fraud and abuse and AI based on threat

0:12:35.690 --> 0:12:40.809
<v S2>actor like IOCs and recognition. So there's that There's also

0:12:40.840 --> 0:12:43.600
<v S2>we did an acquisition really recently for Attack Surface Management,

0:12:43.600 --> 0:12:46.240
<v S2>which I know you're an expert in. Um, and so

0:12:46.240 --> 0:12:49.390
<v S2>for eternal attack surface management, that'll be something we also

0:12:49.420 --> 0:12:54.490
<v S2>move into offering in 2024 or 2025. Um, and so,

0:12:54.520 --> 0:12:57.010
<v S2>you know, my dream of what I've told flair is that,

0:12:57.040 --> 0:13:00.610
<v S2>you know, I feel like external attack surface, like kind

0:13:00.610 --> 0:13:04.630
<v S2>of this brand monitoring or campaign monitoring on top of

0:13:04.660 --> 0:13:09.490
<v S2>the credential exposure. Um, really great stuff that they do already.

0:13:09.490 --> 0:13:13.270
<v S2>I feel like this can fit into, um, like a

0:13:13.270 --> 0:13:16.929
<v S2>dashboard and a flow of, you know, general threat intelligence

0:13:16.929 --> 0:13:18.700
<v S2>that I think no one else really offers. And I'm

0:13:18.700 --> 0:13:20.500
<v S2>really excited to see when we can put it all

0:13:20.530 --> 0:13:23.829
<v S2>together in, you know, for one, one person to access

0:13:23.830 --> 0:13:25.179
<v S2>it in one place.

0:13:25.570 --> 0:13:29.650
<v S1>Yeah. That's fantastic. So basically, you'd be able to look

0:13:29.650 --> 0:13:32.020
<v S1>at your entire attack surface, see where you have like

0:13:32.050 --> 0:13:35.470
<v S1>exposures or whatever. It's almost like outside in and then

0:13:35.470 --> 0:13:36.550
<v S1>inside out. Right.

0:13:36.580 --> 0:13:39.270
<v S2>Yeah. Yeah. I mean imagine Imagine logging into a dashboard

0:13:39.270 --> 0:13:43.229
<v S2>and seeing all your assets. Everyone that has a login understanding.

0:13:43.230 --> 0:13:46.920
<v S2>If you breach credentials, work on that login, understanding how

0:13:46.920 --> 0:13:50.670
<v S2>to defend against that B2C or corporate app. You know,

0:13:50.700 --> 0:13:54.720
<v S2>invalidate sessions. Also understand, you know, what kind of threat

0:13:54.720 --> 0:13:57.960
<v S2>actors are targeting, which apps on your infrastructure. And you

0:13:57.960 --> 0:14:00.959
<v S2>can do that both externally and potentially internally as well.

0:14:00.990 --> 0:14:03.840
<v S1>So yeah starts to tie in a little bit with

0:14:03.870 --> 0:14:06.840
<v S1>like IAM type stuff where you're just you just understand

0:14:06.840 --> 0:14:09.660
<v S1>all the logins and how those logins work and which

0:14:09.660 --> 0:14:12.929
<v S1>ones are federated, like which ones have or have not

0:14:12.929 --> 0:14:15.959
<v S1>been compromised or whatever, maybe even like which ones haven't

0:14:15.960 --> 0:14:20.010
<v S1>been used, like they might be more vulnerable, you know? Yeah.

0:14:20.040 --> 0:14:23.490
<v S2>I mean, we already have filters for freshness. And you

0:14:23.490 --> 0:14:25.290
<v S2>asked earlier like kind of like how I consume it

0:14:25.290 --> 0:14:27.450
<v S2>since I'm a red teamer. Right? I use the credential

0:14:27.480 --> 0:14:30.150
<v S2>browser feature the most for flare. And so you log

0:14:30.150 --> 0:14:33.030
<v S2>in and you just put in a domain. So like,

0:14:33.060 --> 0:14:35.790
<v S2>you know, unsupervised learning.com or something like that. And then

0:14:35.790 --> 0:14:38.940
<v S2>it just filters down. You know what types of credentials

0:14:38.940 --> 0:14:42.000
<v S2>have been on the dark web for it? So what

0:14:42.000 --> 0:14:45.240
<v S2>do they come from? Breach lists or they come from

0:14:45.240 --> 0:14:49.020
<v S2>stealer logs, or they come from some other chatter or whatever.

0:14:49.020 --> 0:14:51.630
<v S2>And then you get that immediately and you can export

0:14:51.630 --> 0:14:54.930
<v S2>that to just start using. Um, but but yeah, that's

0:14:54.930 --> 0:14:57.570
<v S2>the way I use it. But organizations, you know, obviously

0:14:57.570 --> 0:15:00.810
<v S2>have a more holistic kind of want there as well.

0:15:00.810 --> 0:15:03.450
<v S2>So we're continuing to develop a whole bunch of features.

0:15:03.450 --> 0:15:07.109
<v S2>And you know, my my big pie in the sky

0:15:07.140 --> 0:15:10.410
<v S2>view will, you know, you know we're still working towards that.

0:15:10.410 --> 0:15:13.050
<v S2>The bread and butter has been the, the uh, the

0:15:13.050 --> 0:15:17.729
<v S2>exposure management, um, both GUI and API. Um, and that's

0:15:17.730 --> 0:15:21.960
<v S2>what we've been focusing on for a majority of it. But, um,

0:15:21.960 --> 0:15:25.440
<v S2>you know, we recently, um, you know, extended the team

0:15:25.440 --> 0:15:28.560
<v S2>and hired a bunch of new researchers as well. You know,

0:15:28.590 --> 0:15:31.290
<v S2>there's there's whole areas that, um, we want to get

0:15:31.290 --> 0:15:34.560
<v S2>deeper in and build more features for. So I think that, um,

0:15:34.560 --> 0:15:36.780
<v S2>the sky's the limit, honestly, for for flair.

0:15:37.380 --> 0:15:41.820
<v S1>Yeah. That's fantastic. Now is everything, um, kind of like pull.

0:15:42.030 --> 0:15:44.580
<v S1>You go to the portal to get the latest updates. Like,

0:15:44.610 --> 0:15:46.830
<v S1>what if someone forgets to go to the dashboard, they

0:15:46.830 --> 0:15:49.950
<v S1>just lose their login or they're just busy or whatever?

0:15:49.980 --> 0:15:53.850
<v S1>Is there also, like a push, like notifications or email

0:15:53.880 --> 0:15:55.140
<v S1>or that type of thing? Yeah, we have.

0:15:55.170 --> 0:15:59.130
<v S2>We have full API access. So you could use Chatops

0:15:59.130 --> 0:16:02.430
<v S2>to remind you with a webhook to remind you via

0:16:02.430 --> 0:16:05.880
<v S2>slack or Teams or whatever you use at your organization.

0:16:05.910 --> 0:16:08.340
<v S2>In fact, a lot of really forward facing companies are

0:16:08.340 --> 0:16:10.410
<v S2>using Chatops to do this kind of stuff, right? For

0:16:10.410 --> 0:16:12.540
<v S2>a lot of security data, not just us, but, you know,

0:16:12.570 --> 0:16:14.910
<v S2>for everything, right? Where, you know, you log into slack

0:16:14.910 --> 0:16:16.320
<v S2>in the morning and there's a whole channel that would

0:16:16.320 --> 0:16:18.180
<v S2>be like flare ops or something like that, and it

0:16:18.180 --> 0:16:21.030
<v S2>gets pushed like here, the new, you know, six credentials

0:16:21.030 --> 0:16:22.710
<v S2>that we found between the time you went to sleep

0:16:22.710 --> 0:16:25.230
<v S2>and the time you woke up and you know that

0:16:25.230 --> 0:16:27.270
<v S2>that have appeared on the dark web, here's where they

0:16:27.270 --> 0:16:29.880
<v S2>come from, you know, and then you can add that

0:16:29.880 --> 0:16:33.710
<v S2>to your teams, you know, um, list to check to

0:16:33.740 --> 0:16:36.110
<v S2>see if those sessions have been compromised or whatever. So.

0:16:36.560 --> 0:16:38.900
<v S1>So I know you're doing a whole bunch in AI

0:16:38.930 --> 0:16:43.160
<v S1>as well. And AI automation on the Arcanum side. Have

0:16:43.160 --> 0:16:45.739
<v S1>you all been thinking about any sort of chatops sort

0:16:45.770 --> 0:16:49.730
<v S1>of optimizations, like something drops into the channel? Can we

0:16:49.730 --> 0:16:53.120
<v S1>actually go in and validate that credential or something? Yeah.

0:16:53.120 --> 0:16:56.360
<v S2>So that is usually in the, in the B2C kind

0:16:56.360 --> 0:16:58.880
<v S2>of world, like like a Netflix or an Amazon or

0:16:58.880 --> 0:17:01.520
<v S2>anything like that, right. Um, that is usually up to

0:17:01.550 --> 0:17:04.160
<v S2>the client, you know, to, to implement. Right. Because each

0:17:04.190 --> 0:17:06.800
<v S2>app is different. And we would have to know, you know,

0:17:06.830 --> 0:17:10.580
<v S2>kind of the general app login flow. So usually that

0:17:10.580 --> 0:17:13.520
<v S2>part is left to them. But for the for the

0:17:13.520 --> 0:17:15.830
<v S2>corporate logins, you know, where a lot of people need

0:17:15.830 --> 0:17:18.619
<v S2>to log in via an identity provider or SSL or

0:17:18.619 --> 0:17:21.979
<v S2>something like that, that is more easily for us to find. And,

0:17:22.010 --> 0:17:23.750
<v S2>you know, maybe in the future that could be something

0:17:23.750 --> 0:17:26.899
<v S2>that we offer an automated service for, you know. So, um,

0:17:26.930 --> 0:17:28.129
<v S2>testing the credentials of.

0:17:28.310 --> 0:17:32.020
<v S1>An agent there, listening, watching that channel, taking actions. right?

0:17:32.050 --> 0:17:34.960
<v S2>And it could easily be done with some of the

0:17:34.960 --> 0:17:39.370
<v S2>AI that exists right now. Honestly, it's just, uh, you know, like, um,

0:17:39.520 --> 0:17:41.530
<v S2>I think that a lot of people I mean, the

0:17:41.530 --> 0:17:43.689
<v S2>features we have right now in the platform for AI

0:17:43.690 --> 0:17:49.659
<v S2>are more based around translation and correlation of data. So

0:17:49.690 --> 0:17:52.990
<v S2>we do have an AI agent that's built into flair.

0:17:52.990 --> 0:17:55.479
<v S2>And so when you go into any of the views, um,

0:17:55.480 --> 0:17:57.160
<v S2>first of all, the first great thing about it is

0:17:57.190 --> 0:17:59.440
<v S2>let's say you're dealing with a threat actor post that's

0:17:59.440 --> 0:18:02.889
<v S2>in Russian. Well, you know, I can translate your ROI,

0:18:02.920 --> 0:18:05.379
<v S2>which is called, I think it's called Alexandria internally we

0:18:05.380 --> 0:18:08.920
<v S2>call it. But, um, it can it can translate that instantly.

0:18:08.920 --> 0:18:12.010
<v S2>So you can read the context of the conversation, um,

0:18:12.010 --> 0:18:15.369
<v S2>about your company. And then it can also tie together

0:18:15.369 --> 0:18:17.889
<v S2>disparate sources of information, whether something showed up in a

0:18:17.890 --> 0:18:20.590
<v S2>steamer log. And then there's also conversation about it in

0:18:20.590 --> 0:18:23.649
<v S2>a forum, conversation about it in a chat channel, you know,

0:18:23.680 --> 0:18:26.290
<v S2>something like that can tie those things together. Um, so

0:18:26.290 --> 0:18:29.110
<v S2>those are, those are all things that, you know, were

0:18:29.109 --> 0:18:33.149
<v S2>the first really easily automatable things. And then we're going

0:18:33.180 --> 0:18:36.270
<v S2>to continue to, um, to deploy, I'm sure more and

0:18:36.270 --> 0:18:37.710
<v S2>more AI features. Yeah.

0:18:38.280 --> 0:18:41.310
<v S1>Yeah, that makes sense because I mean, it's kind of similar. Um,

0:18:41.310 --> 0:18:44.190
<v S1>threat Intel is kind of similar to vulnerability management. It's

0:18:44.190 --> 0:18:46.890
<v S1>like you do the cool thing, which is you surface

0:18:46.890 --> 0:18:49.889
<v S1>this thing. But then on the other side of the threat,

0:18:49.890 --> 0:18:53.430
<v S1>Intel and the other side of the vault management is fix, right?

0:18:53.460 --> 0:18:58.889
<v S1>Take the action. So I could imagine, like we were saying,

0:18:58.890 --> 0:19:01.290
<v S1>some sort of agent that sits there and is like

0:19:01.290 --> 0:19:03.960
<v S1>it's hooked up to Jira, it's hooked up to these

0:19:03.960 --> 0:19:07.439
<v S1>different control systems. It can actually push ACLs, you know,

0:19:07.470 --> 0:19:11.100
<v S1>invalidate credentials, stuff like that. But, um, it's also early

0:19:11.100 --> 0:19:12.869
<v S1>days for AI, so you don't want to be hooking

0:19:12.869 --> 0:19:16.260
<v S1>up too much power for AI on production systems, right? Yeah.

0:19:16.290 --> 0:19:18.270
<v S2>I mean, definitely a double edged sword, right? Like for

0:19:18.270 --> 0:19:20.850
<v S2>every AI feature you put out has to be tested

0:19:20.880 --> 0:19:24.810
<v S2>against a multitude of things, right? Um, yeah. So. Yeah, definitely.

0:19:25.470 --> 0:19:30.500
<v S1>Yeah, totally. Um. Well, not going to let you get

0:19:30.530 --> 0:19:34.609
<v S1>off without talking about Arcanum. What are you doing over there?

0:19:34.790 --> 0:19:39.020
<v S2>Yeah. Yeah, absolutely. So, uh. So Arcanum is my company.

0:19:39.170 --> 0:19:41.480
<v S2>The name comes from a fantasy book that you and

0:19:41.480 --> 0:19:43.609
<v S2>I have both read. But if anybody else hasn't read it, uh,

0:19:43.609 --> 0:19:45.590
<v S2>name of the wind is probably one of the best

0:19:45.590 --> 0:19:50.090
<v S2>fantasy books of our generation. And, um, The Arcanum in

0:19:50.119 --> 0:19:52.850
<v S2>that book series, which doesn't have a conclusion yet, which

0:19:52.850 --> 0:19:56.659
<v S2>is really sad. Um, is is the school of magic.

0:19:56.660 --> 0:19:59.960
<v S2>And so, uh, you know, we're we at Arcanum do

0:19:59.960 --> 0:20:02.570
<v S2>a ton of training. So we have two classes. One

0:20:02.570 --> 0:20:05.990
<v S2>is an offensive security based course. Uh, and it's my

0:20:05.990 --> 0:20:10.580
<v S2>20 years of experience in doing penetration testing and web

0:20:10.609 --> 0:20:14.120
<v S2>app hacking through bug bounty. Um, and so it's my

0:20:14.119 --> 0:20:19.100
<v S2>experience there, uh, high focus on reconnaissance and some Osint stuff,

0:20:19.100 --> 0:20:21.230
<v S2>some red teaming techniques, and then also just a lot

0:20:21.260 --> 0:20:24.530
<v S2>of web hacking. Um, and it's, that's a three day

0:20:24.530 --> 0:20:26.950
<v S2>course that we run. And so that was the first

0:20:26.950 --> 0:20:30.490
<v S2>thing that we launched Arcanum for, was that training. And

0:20:30.490 --> 0:20:35.500
<v S2>then shortly after that, this year we launched an AI training.

0:20:35.500 --> 0:20:38.290
<v S2>But it's not a how to hack AI training. It's

0:20:38.320 --> 0:20:42.100
<v S2>a how to use AI in your security role training.

0:20:42.100 --> 0:20:44.830
<v S2>And so we call it red blue, purple AI. And

0:20:44.859 --> 0:20:48.340
<v S2>and that, you know, that training basically is teaching people,

0:20:48.340 --> 0:20:49.600
<v S2>whether you're a red team or a blue team or

0:20:49.630 --> 0:20:52.629
<v S2>a purple team or how to scale yourself, um, you know,

0:20:52.660 --> 0:20:55.390
<v S2>with AI and so that's a two day course. And then,

0:20:55.420 --> 0:20:57.640
<v S2>you know, usually, I mean, just being honest, we're very

0:20:57.640 --> 0:21:02.139
<v S2>small still early days, but, um, but, you know, usually

0:21:02.140 --> 0:21:04.179
<v S2>we'll do those trainings. And what will happen is, you know,

0:21:04.210 --> 0:21:06.280
<v S2>someone will be like, oh, that was excellent. Can you

0:21:06.310 --> 0:21:08.290
<v S2>come do some consulting for us? Whether they want us

0:21:08.290 --> 0:21:10.389
<v S2>to do their red team or a purple team engagement

0:21:10.390 --> 0:21:13.480
<v S2>or a pen test or, you know, do some AI

0:21:13.510 --> 0:21:17.979
<v S2>consulting and then, um, so we'll do custom consulting too, um, for,

0:21:18.010 --> 0:21:19.000
<v S2>for a lot of places.

0:21:19.030 --> 0:21:22.510
<v S1>Yeah, yeah. And I can say for myself, I've, I've

0:21:22.510 --> 0:21:26.760
<v S1>attended both and they were absolutely fantastic. Honestly, I think

0:21:26.790 --> 0:21:30.060
<v S1>you're the best trainer in security. Oh, I know, I know,

0:21:30.060 --> 0:21:32.669
<v S1>we're best friends, so, like, I'm going to be biased, but, um,

0:21:32.670 --> 0:21:35.609
<v S1>I think I'm good at being objective. And I really

0:21:35.609 --> 0:21:38.340
<v S1>think you're the best trainer in security, so thank you.

0:21:38.369 --> 0:21:42.150
<v S1>Encourage people to check that stuff out. Yeah. Um, yeah.

0:21:42.150 --> 0:21:45.750
<v S1>And the I class was absolutely fantastic. Even better the

0:21:45.750 --> 0:21:48.150
<v S1>second time. Just absolutely loved it.

0:21:48.300 --> 0:21:51.780
<v S2>Yeah, I think I think I learned a lot from, um, well,

0:21:51.810 --> 0:21:54.240
<v S2>from you and some other people too, about creating very

0:21:54.240 --> 0:21:57.419
<v S2>fresh content. Right. So, um, you have augmented, which is

0:21:57.420 --> 0:22:01.440
<v S2>an AI course that focuses on more than just security. Um,

0:22:01.470 --> 0:22:04.409
<v S2>but I think what I learned is that there is

0:22:04.410 --> 0:22:09.300
<v S2>a craving for training that stays up to date. Right?

0:22:09.330 --> 0:22:11.580
<v S2>Because like a lot of the training organizations that exist

0:22:11.609 --> 0:22:14.040
<v S2>right now, they just create a training and then it's

0:22:14.040 --> 0:22:16.320
<v S2>out there and then they never update it. Right. And

0:22:16.320 --> 0:22:20.310
<v S2>security and I move so crazy fast and it's like

0:22:20.340 --> 0:22:23.640
<v S2>it's like, okay, so by the time you take that training.

0:22:23.670 --> 0:22:25.530
<v S2>A lot of the tools are outdated. A lot of

0:22:25.530 --> 0:22:28.770
<v S2>the methodologies are outdated, especially in the AI. Like AI,

0:22:28.800 --> 0:22:33.030
<v S2>AI by far is like, you know, every class I teach,

0:22:33.030 --> 0:22:35.910
<v S2>which is once a quarter live, I have to basically

0:22:35.910 --> 0:22:38.760
<v S2>re dev the whole class because there's new, you know,

0:22:38.790 --> 0:22:42.090
<v S2>advents in prompt engineering, there's new advents in rag, new

0:22:42.090 --> 0:22:46.110
<v S2>advents and agents, all that stuff. And so I think

0:22:46.109 --> 0:22:50.639
<v S2>that's what makes my trainings different than other people's. Right. Um, because,

0:22:50.670 --> 0:22:53.070
<v S2>you know, I'm doing that. And then also, I think

0:22:53.070 --> 0:22:55.650
<v S2>one of the crazy cool things was while cohort one,

0:22:55.650 --> 0:22:58.139
<v S2>you were in, um, as a guest. And so in

0:22:58.140 --> 0:23:00.780
<v S2>all my courses, whether it's the offensive security one or

0:23:00.780 --> 0:23:02.860
<v S2>the AI one, every day I bring in 1 or

0:23:02.859 --> 0:23:06.090
<v S2>2 guests who offer either like a different viewpoint than me,

0:23:06.090 --> 0:23:08.850
<v S2>or who are specialists even above me in some cases.

0:23:08.850 --> 0:23:11.879
<v S2>And we will talk for about 30 to 40 minutes

0:23:11.880 --> 0:23:13.949
<v S2>as like an interview included in the class, and I

0:23:13.950 --> 0:23:17.070
<v S2>will ask some very hard questions to them that only

0:23:17.100 --> 0:23:19.170
<v S2>you know, like that only really like a homie would

0:23:19.170 --> 0:23:22.210
<v S2>give you the answer to in a small group setting,

0:23:22.420 --> 0:23:24.280
<v S2>and I think that has also made the classes great.

0:23:24.280 --> 0:23:26.980
<v S2>So like last one in the offensive security class, we

0:23:26.980 --> 0:23:31.420
<v S2>had Sam Curry Zls come on talking about his hacking methodology,

0:23:31.570 --> 0:23:33.310
<v S2>and he's the guy who just did the big Kia

0:23:33.340 --> 0:23:36.370
<v S2>hack with his group of, you know, hackers, which was

0:23:36.400 --> 0:23:40.090
<v S2>Ian Carroll and some other people too. We've had some, uh,

0:23:40.720 --> 0:23:44.650
<v S2>subs come on, Shabaam Sha. And he talked about, uh,

0:23:44.650 --> 0:23:48.760
<v S2>like pretty hardcore reconnaissance methods that weren't talked about anywhere else.

0:23:48.760 --> 0:23:51.340
<v S2>And so luckily, I know people. You came on cohort

0:23:51.369 --> 0:23:56.139
<v S2>one and talked about your philosophy for agents flows and

0:23:56.140 --> 0:23:59.710
<v S2>everything like that. Um, from, you know, from augmented. But

0:23:59.710 --> 0:24:02.830
<v S2>you gave away some secrets there too. So that's how

0:24:02.830 --> 0:24:04.840
<v S2>I like to run a class. Like it's like a small,

0:24:04.840 --> 0:24:07.149
<v S2>intimate group. And yeah, it does.

0:24:07.180 --> 0:24:11.890
<v S1>It feels extremely close knit and intimate. And after like

0:24:11.890 --> 0:24:14.470
<v S1>the second hour and definitely after like the first day,

0:24:14.500 --> 0:24:17.920
<v S1>you feel close with all the other people because it's

0:24:17.920 --> 0:24:20.670
<v S1>a very sort of welcoming thing, like it's just discussion

0:24:20.670 --> 0:24:25.139
<v S1>happening and everyone's listening to you, but it's also just

0:24:25.170 --> 0:24:27.600
<v S1>a yeah, it's just a really good vibe. It's the

0:24:27.600 --> 0:24:31.530
<v S1>best training vibe. And I've been taking sand since, you know, whatever,

0:24:31.530 --> 0:24:34.320
<v S1>early 2000. And it's like it's the best training vibe

0:24:34.320 --> 0:24:35.160
<v S1>I've ever seen.

0:24:35.430 --> 0:24:37.980
<v S2>Yeah, I think, I think one of the cool things

0:24:37.980 --> 0:24:41.190
<v S2>too is that like, um, I don't ever consider myself

0:24:41.190 --> 0:24:43.140
<v S2>that I'm going to be the absolute master. I think

0:24:43.140 --> 0:24:46.469
<v S2>overall my methodologies and the structure of the training is

0:24:46.470 --> 0:24:49.230
<v S2>very well put together. But if someone comes in chat,

0:24:49.260 --> 0:24:51.300
<v S2>you know, for one of the courses and is like, hey,

0:24:51.330 --> 0:24:53.880
<v S2>have you thought about this thing? You know, sometimes we'll

0:24:53.880 --> 0:24:56.159
<v S2>divert and look into like a new tool or a

0:24:56.160 --> 0:24:59.129
<v S2>new piece of methodology right in the class and you know,

0:24:59.160 --> 0:25:01.859
<v S2>you can't get that anywhere else. Um, so, so I

0:25:01.859 --> 0:25:04.020
<v S2>think that vibe is I'm never going to consider myself

0:25:04.020 --> 0:25:06.719
<v S2>the ultimate expert in that vibe is helpful for people

0:25:06.720 --> 0:25:09.150
<v S2>who also come to the course and are experts. So.

0:25:09.300 --> 0:25:10.230
<v S1>Yeah, totally.

0:25:10.380 --> 0:25:10.860
<v S2>Yeah.

0:25:11.250 --> 0:25:16.290
<v S1>Awesome. And, uh, what is next for flair? Like you

0:25:16.290 --> 0:25:19.100
<v S1>talked about? You hinted at a few different things, but

0:25:19.190 --> 0:25:21.320
<v S1>what do you see happening? Like you talked a little

0:25:21.350 --> 0:25:25.429
<v S1>bit about your pie in the sky version of mixing

0:25:25.430 --> 0:25:30.680
<v S1>like C10 and all the different stuff altogether? Yeah. And

0:25:30.680 --> 0:25:32.810
<v S1>any features that might be coming out end of the

0:25:32.810 --> 0:25:34.520
<v S1>year or first part of next year.

0:25:34.910 --> 0:25:35.450
<v S3>Yeah.

0:25:35.450 --> 0:25:37.760
<v S2>So I think that's, um, I actually don't know what

0:25:37.760 --> 0:25:41.870
<v S2>I'm allowed to talk to you about, but hopefully it's fine. Uh, is, uh,

0:25:41.869 --> 0:25:45.050
<v S2>is there's going to be some new features, um, around

0:25:45.080 --> 0:25:48.200
<v S2>cookie exposure because a lot of people are getting really,

0:25:48.200 --> 0:25:52.580
<v S2>really great at, uh, mitigating breached credentials, but less good

0:25:52.580 --> 0:25:55.010
<v S2>on the cookie exposure stuff. So some APIs there that'll

0:25:55.010 --> 0:25:57.590
<v S2>help you track cookies which are fresh, which have been

0:25:57.590 --> 0:26:00.890
<v S2>exposed via malware campaigns or a whole bunch of stuff.

0:26:00.890 --> 0:26:02.990
<v S2>Right now, we focus a lot on the stealer log data,

0:26:02.990 --> 0:26:05.420
<v S2>but we're starting to focus more and more on career

0:26:05.420 --> 0:26:09.229
<v S2>phishing campaigns by threat actors. Um, and taking that too, right?

0:26:09.260 --> 0:26:13.580
<v S2>Because the two methods that adversaries use to steal your

0:26:13.580 --> 0:26:16.639
<v S2>creds and cookies, one is stealer malware. They'll get malware

0:26:16.640 --> 0:26:19.750
<v S2>on your machine. Some bot somehow, either via drive by download,

0:26:19.750 --> 0:26:22.840
<v S2>you download a torrent, your kid downloads a Fortnite, you know,

0:26:22.869 --> 0:26:26.380
<v S2>X or something like that, you know, or you get

0:26:26.380 --> 0:26:29.619
<v S2>spear phishing with credit capture and cookie capture in the

0:26:29.619 --> 0:26:32.169
<v S2>middle right, which is predominantly what red teams do. This

0:26:32.170 --> 0:26:34.540
<v S2>is what I do in my campaigns, right? We'll set up,

0:26:34.570 --> 0:26:38.140
<v S2>you know, something like Evil Jinx and fake an Okta portal,

0:26:38.140 --> 0:26:40.330
<v S2>and then phish all your people, and eventually they will

0:26:40.330 --> 0:26:43.210
<v S2>log in with credentials and will capture both the credential

0:26:43.210 --> 0:26:45.430
<v S2>and the cookie. So that's the same thing bad guys do.

0:26:45.460 --> 0:26:48.610
<v S2>I think the stats are, you know, it's like 54%

0:26:48.609 --> 0:26:52.810
<v S2>of initial access for breaches. Is them just buying a

0:26:52.840 --> 0:26:57.909
<v S2>cookie from stealer malware. And then 33.8% is still phishing

0:26:57.910 --> 0:27:01.630
<v S2>these days to do to do credit capture. Um, I'm

0:27:01.630 --> 0:27:03.399
<v S2>looking at the CSA stats that I had in a

0:27:03.400 --> 0:27:06.369
<v S2>browser window over here. So, um, yeah, so we want

0:27:06.400 --> 0:27:08.950
<v S2>to get more into that data as well. We do

0:27:08.950 --> 0:27:10.240
<v S2>some of it already, but we want to get even

0:27:10.240 --> 0:27:14.680
<v S2>better at it. Um, and then yeah, more traditional threat

0:27:14.680 --> 0:27:20.910
<v S2>Intel features coming for flare. Um, and better visualizations, better dashboards,

0:27:20.910 --> 0:27:23.699
<v S2>better filters like these are all things that, you know,

0:27:23.730 --> 0:27:27.270
<v S2>are table stakes for a threat intelligence platform. Um, and

0:27:27.270 --> 0:27:29.850
<v S2>then we haven't we haven't implemented yet a ton of

0:27:29.850 --> 0:27:33.960
<v S2>the attack surface. We just, um, you know, uh, Nick

0:27:33.960 --> 0:27:39.180
<v S2>Ascoli is one of the guys that we purchased his, um, ESM, um, product.

0:27:39.180 --> 0:27:41.670
<v S2>And so we haven't implemented a ton of it yet. But,

0:27:41.700 --> 0:27:44.010
<v S2>you know, over 20, 25, we're going to implement a

0:27:44.010 --> 0:27:46.230
<v S2>ton of it. And then like you said, it bleeds

0:27:46.230 --> 0:27:48.960
<v S2>into vulnerability management too, right? So at what point do

0:27:48.990 --> 0:27:51.840
<v S2>you know, at what point do companies like us or

0:27:51.840 --> 0:27:54.720
<v S2>even other ESM companies what at what point do they

0:27:54.750 --> 0:27:58.800
<v S2>consider exposing vulnerability information like, you know, doing scanning of

0:27:58.800 --> 0:28:01.620
<v S2>some sort for vulnerabilities, you know, and including that in

0:28:01.619 --> 0:28:03.239
<v S2>the visibility? Because at the end of the day, as

0:28:03.240 --> 0:28:06.360
<v S2>a consumer of something like this, I really don't like

0:28:06.359 --> 0:28:09.270
<v S2>to be logging into so many disparate platforms. Right? I

0:28:09.270 --> 0:28:13.410
<v S2>would love all of this to be in one place. Um, but, um,

0:28:13.410 --> 0:28:15.500
<v S2>you know, no one's no one's perfected that out. Everyone's

0:28:15.500 --> 0:28:18.320
<v S2>trying it, but no one's perfected that yet, so.

0:28:18.350 --> 0:28:23.359
<v S1>Yeah, that makes sense. Um, cool. Well, where can people

0:28:23.359 --> 0:28:24.950
<v S1>learn more about flare?

0:28:25.640 --> 0:28:29.540
<v S2>So if you go to the main flare page, there's

0:28:29.540 --> 0:28:31.699
<v S2>a free trial. This is also something that made it

0:28:31.700 --> 0:28:33.830
<v S2>really easy for me to benchmark them. Was that flare

0:28:33.830 --> 0:28:36.950
<v S2>actually offers a like a free trial. Anybody can sign up.

0:28:36.950 --> 0:28:38.600
<v S2>They just have to be approved by, you know, a

0:28:38.600 --> 0:28:42.770
<v S2>flare representative internally for legitimate use. But, um, yeah, flare

0:28:42.770 --> 0:28:44.960
<v S2>was the only one that was easy to access and

0:28:44.960 --> 0:28:49.340
<v S2>really start taking off. Um, so I think that, um,

0:28:49.340 --> 0:28:52.250
<v S2>you know, our wonderful staff gave you a link, um,

0:28:52.250 --> 0:28:54.050
<v S2>in the doc, but I don't have it in front

0:28:54.050 --> 0:28:55.820
<v S2>of me. So do you have the free trial link?

0:28:55.850 --> 0:28:56.780
<v S3>I do, yeah.

0:28:56.780 --> 0:29:01.700
<v S1>So it's trifler.io/unsupervised learning, and. Oh, there you go. Free

0:29:01.730 --> 0:29:02.750
<v S1>seven day trial.

0:29:02.900 --> 0:29:03.590
<v S3>Oh, awesome.

0:29:03.590 --> 0:29:06.140
<v S2>So that's even better than the regular free trial. So yeah.

0:29:06.410 --> 0:29:06.950
<v S3>Yeah. Okay.

0:29:06.950 --> 0:29:09.260
<v S1>Very cool. And where can people learn more about Akana?

0:29:09.740 --> 0:29:21.560
<v S2>So Akana, our our website is Arcanum. Arc. Arc. Arcanum. Arc. And, um. Uh. Dash. Sex.com. Um.

0:29:21.590 --> 0:29:24.560
<v S2>And then, uh, you can follow me on Twitter. I'm

0:29:24.590 --> 0:29:26.840
<v S2>AJ Haddox and so I'll talk about all this stuff

0:29:26.840 --> 0:29:29.030
<v S2>randomly on there.

0:29:29.390 --> 0:29:31.850
<v S1>Awesome, man. Well great conversation. So glad to have you

0:29:31.850 --> 0:29:34.460
<v S1>on the show and, uh, talk to you soon.

0:29:34.790 --> 0:29:35.990
<v S2>Awesome. Thanks, man.

0:29:37.910 --> 0:29:41.120
<v S1>Unsupervised learning is produced and edited by Daniel Miessler on

0:29:41.150 --> 0:29:45.710
<v S1>a Neumann U87 AI microphone using Hindenburg. Intro and outro

0:29:45.740 --> 0:29:49.070
<v S1>music is by Zomby with a Y, and to get

0:29:49.070 --> 0:29:51.170
<v S1>the text and links from this episode, sign up for

0:29:51.170 --> 0:29:54.080
<v S1>the newsletter version of the show at Daniel Missler Comm

0:29:54.140 --> 0:29:57.680
<v S1>Slash newsletter. We'll see you next time.