WEBVTT

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It's time for us to discuss more about search engines and, of course, foot printing.

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So realize that there is going to be other engines that reconnaissance folks are going to be utilizing,

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like reverse image searches, where we will start with an image and then it will break down the metadata

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that is associated with that image.

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There will be, of course, video search engines that we can reverse engineer, videos from metasearch

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engines that are going to be searching specialized searches on the metadata.

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Remember, metadata is data that describes other data.

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And of course, we can search for EFTPOS resources made available via HTTP and https, but we might

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even need to do specialized FTP search engine type work, which will be gathering information from Iot

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search engines.

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We're going to show you some of those when we discuss Iot in specifics later on.

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Of course, financial services, job sites, all of these can provide valuable footprint information.

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Now, be aware there is the deep web and the dark web.

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And we're going to go into details on those for you in a moment.

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But there are going to be browsers and World Wide Web virtual libraries that are going to be enabling

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you to traipse into that deep or dark web if you are so brave, by the way.

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One of the things that we're going to educate you on here is what is the difference between the deep

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web and the dark web?

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And I'm going to give you a hint.

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We're going to elaborate on it later.

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But think about identity.

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Okay.

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So that's going to be the key difference between the deep and the dark web.

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Let's also use a tool if we are practicing reconnaissance in a pen test.

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Let's use a tool that will find all the top level domains and there subdomains that an organization

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might have.

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So imagine that they're mapping out the entire structure of your web environment with a tool like Sub

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Lyster.

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And gosh, you got to love some of the names of these tools, right?

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The sub list are a tool for enumerating the subdomains that a public web server might have.

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For example, location.

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Of course, location can be recon with things like Google Earth, Google Maps, wiki mapping on social

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networking sites.

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There's going to be people searches that are done within telia's pepe ben verified white pages peak

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you know these and even run through the exercises with these right to make sure that you're familiar

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with them and the type of information that they're going to feed you.

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So be familiar with these ways to perform recon with social networking, and be familiar with a utility

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that is amazing to see work.

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And that is the Harvester which will go into LinkedIn, for example, and call all of the email addresses,

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let's say, for an organization.

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Imagine that.

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So sure, we could go in there and we could manually pull them out.

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It's public information, but this tool will go into LinkedIn and just scoop them all up for an attacker

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who may be building a map of everyone in the organization so that they can go in and socially engineer

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with knowledge of the organization and all the email addresses.

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And once again, we find ourselves amazed at the ease of use of the recon tools and the abundant different

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ways in which there are to perform it.
