WEBVTT

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In this video, we're taking a look at Canary tokens.

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Now, Canary tokens are a pretty useful thing to use for figuring out where someone is and kind of the

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devices you're using.

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I use these a lot when I do investigations, especially on scammers.

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So let's take a look.

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This one is canary tokens for generate where we can generate these canary tokens.

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And essentially what happens is when these tokens are triggered it'll send us an email alert.

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So if I go here I can select a token.

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We can see all sorts of tokens here web bug DNS, AWS keys, a zero login certificates, sensitive command

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tokens, word docs, Excel, Kubernetes VPN, WireGuard QR codes, custom web bugs, PDFs, etc., etc..

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So um, for certain scammers, I've used things like word docs or Excel files or PDF files.

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I labeled it payroll, for example.

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So when they clicked on it, it would trigger.

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And then and then I would get the IP address in that.

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So on a defensive side this could be used for things like figuring out I use these typically for um

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scams for like hookup scams and that.

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So someone says, hey, send me money.

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Okay, so what I'll do is I will typically get their email address.

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We'll do, say, a custom web bug.

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And then for the email address you put the email address that you wanted to go to.

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Now reminder I always use a reminder.

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Things like, uh, this is for a hookup scam.

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I'll put a question mark because it can 100% identify whether it is or not.

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And um, I'll put down.

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I'll typically put the username that they're using and I'll put the email address down.

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And what the scam typically is entail they want $50 from a visa.

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And then we'll you can put whatever image you want in here.

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So I could put like a Where's Waldo.

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Um, in this case it's really not going to matter when they trigger the the link, it'll send the address.

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And then we do create canary token.

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And then if they go to this link here, it'll trigger it and they'll get the information and or we'll

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get the information rather.

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Now I'll show you what that looks like in a minute.

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Now if you send someone this link, it'll usually it'll kind of trigger and go, uh, what the.

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What the heck is this?

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So I'll usually use a URL shortener.

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Like, if I take this, I can go in here.

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And then it gives me the short URL and they have no idea what it is.

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So I'll typically put in an email like this.

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Like we'll have an image that doesn't quite load and go, hey, here's a steam code that you wanted.

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Use this link and it links to the canary token.

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So when it does trigger, it actually looks like.

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Let's see if I can switch the image here.

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That's not working.

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It'll look like this here.

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So we have token reminder I have the email addresses that they put down here.

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Um I put the location that they said they were in.

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They said they were in San Francisco and this was a financial scam, uh, for this person.

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Now, they triggered it.

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It gave me the IP addresses here.

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And then I can see that they're on Android 11.

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I can see the type of device they have.

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I can see that they use Chrome when they triggered it.

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And I could see the version of Chrome.

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Now of course I'll take the IP address, I'll feed it into, see if it's a VPN or proxy.

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If it's not, then it then I'll run it to get the actual location.

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And if the location doesn't match up where the token got triggered, then that's a huge red flag.

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And typically these will actually be Nigeria.

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This one I if I remember right, it was uh, I think it was Nova Scotia, which is interesting.

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That was the first time for that.

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But this is the type of thing that on the defensive side, again, that you could use kind of verify

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someone's location.

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Now, on the flip side, you need to be careful when people send you weird links.

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Uh, always be careful about links or, or word docs, PDF docs and whatnot that they send.

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It could either be a canary token or it could be something malicious.

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So you do want to feed it into things like, uh, VirusTotal, hybrid analysis and whatnot and check

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those files before you actually run them.

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So this is about Canary tokens.

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Thank you so much for watching.

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I'll see you next video.
