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 Hi, everyone, and welcome to the section. Number seven,

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 cold email, addresses user names and

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 images. This is, of course, all to be taken

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 in the open source, intelligence context. Now,

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 let's do a quick overview of this section. Although

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 it is pretty self-explanatory. And obvious.

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 What are we going to do here? Now, we will discuss

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 how to research, acquired data and information.

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 With the tools to get email addresses, then to

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 do username lookups and how to approach images

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 with our open source, intelligence way of thinking.

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 And with the appropriate tools to get the

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 job done. As you can see. I have put all

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 of these three resources in one video even

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 with a short Hands-On demonstration about

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 images.

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 So its first I will start with

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 the email addresses. Actually. The thing I

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 will not do is to start with a statistic of how many

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 email addresses there are in the world. Okay.

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 An analogy for that kind of estimation would be

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 an answer to a question. How many galaxies are

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 there? One of the answers is a number between

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 100 and 200 billion galaxies. Now.

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 Let's see. What are we up against in?

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 The off sent context of email addresses?

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 As you know, when you look up for someone who

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 someone's real name and really address that

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 can get you easily feeling frustrated,

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 especially few, your target has

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 some commonly going to try it. Pick

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 a common name in your country and Google it in

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 my example, a comment creation name

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 like even Horvath returns over

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 4.5 million search

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 results.

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 I just wanted to show you how common it is. It was even

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 in my country. Now when I put

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 that common name even harlot in an email format

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 even dot Horvat at

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 gmail.com and search for

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 it. I get about 171,000 of

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 results, which is still too

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 much. But when I put that search term

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 in quotation marks, I

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 get about

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 190 results. And

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 that is a good place to start from.

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 Actually, my first stop, when looking for someone's email address

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 is the search engine. Remember to

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 check out multiple search engines like Bing start page

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 DuckDuckGo in the country specific search

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 engines, like Yandex or

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 something. If your target is foreign also be

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 free to make an assumption. You may know about

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 one and rest but not for some other. It can be productive

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 to make assumptions of possible, email addresses and

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 use the verifiers.

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 See if they exist now.

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 Now, I will mention a few tools that worked and

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 still do for my investigations. But

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 just before I mentioned these tools, I would like to point out, is

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 that the searches for free based email

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 addresses, like Gmail or Yahoo is very difficult.

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 There are different. Technical limitations. Why is

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 that take Gmail?

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 Or Google Mail. Well, it is in their

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 best interest to be secure and they are investing a lot

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 in their cyber defense, the security of

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 other business emails, only depends on

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 the fact. How much are they investing in their cyber defense?

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 And that is not that much in most cases.

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 One of the facts about email addresses. Most

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 of the email search services, do not work or

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 give you incorrect results. Just for

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 you to be aware, not to rely on just one tool. Always double

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 triple check. Everything first,

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 I would like to point out is true mail dot

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 IO, it's spelled TR

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 you Ma i

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 l .i o as you can

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 see on my example.

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 I put down an email spam at do garden dotnet which

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 is related to my business account. The results, displayed

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 here. Indicate

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 that the domain provided, the

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 burden dotnet is configured for email and the server is

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 active.

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 It also identifies that the address is a catch-all which

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 may indicate a burner account on the target domain.

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 The results. Definitely confirmed it. We

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 are not talking about a free Webmail account, and that

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 this is not a disposable temporary email. The

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 second service is called verify email

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 located on the verify hyphen

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 email, that or address. As

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 you can see. On the same example, this service provides a

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 lot less data, and it says about the same.

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 Get email, we previously checked that it is bad. This

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 is a perfect example. Why we need to double-check things.

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 Actually. This is a correct an

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 existing email address. The only thing we

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 received here that is correct. Is

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 that the email server is a catch-all

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 server next, is a service called

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 email hippo located on the tools.

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 That verify email address, that I/O address

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 this service also gave me

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 A questionable answer, but at least it was with more

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 info. The target address is labeled

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 as unverifiable, but we but

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 I went to the more info Tab and

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 I found out more details, like who is the service

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 provider? Is it a catch-all server? And so

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 forth. In fact, this email address that I

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 tested is an alias address and only one service

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 gave me a more complete answer to the question, is

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 the email address even valid.

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 And now next is the email format question. Besides

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 the assumptions you can do like

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 is it named surname just

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 name at the Domain or the

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 first letter of the targets name and then

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 their surname? There are a lot of combinations you could try

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 for that email format. A

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 good starting point is if you have the targets username

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 from some social network, people

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 tend to have the same user names for every

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 If the Assumption strategy did not work

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 or it was an oracle for your needs. You may

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 want to consider a service like email format. You

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 can get to it by visiting email Hyphen

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 for mat.com. When

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 you put down the target domain, you will get

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 a list of potential email formats. Actually, it

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 will give you a confidence level value is the

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 format right? Or not.

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 There's another service. I think it's worth mentioning

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 in the email formats realm and

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 that is Hunter that I owe service. It

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 is a paid service, but it has a free limit. You can use.

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 I like the thing that it mentions,

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 a source where it found the target email

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 format. And now, the last approach

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 to get or verify emails is the compromised

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 approach. As I stated in the slide. You're

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 probably aware that.

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 Emails are compromised regularly in

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 various data breaches. And data leaks malicious

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 hacker groups, often publish email

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 databases for public, use and their corresponding passwords.

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 This is usually done on a service called

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 pastebin that we covered earlier. I

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 will mention two websites that provide this information, but

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 there is more of them like this out there. They

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 get often, they are they get often.

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 Get they often get shut down.

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 Because this is not completely legal or ethical

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 in a way. There are two reasons why you

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 should look here. First. If

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 you learn that the email address

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 of your interest has been a part of some breach, then

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 it is obviously valid and the

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 second reason that usually this service gives

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 you in what data breach has. The

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 email being found is LinkedIn or

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 Dropbox or some other third service data leak.

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 We will talk later in the course in more detail

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 about data, breaches and leaks and how can they be relevant

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 to your investigations sites? I

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 have listed here are have I been pawned. Diet.com,

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 and the hashed.com., I

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 encourage you to check them out, but with caution

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 and I will move on to the

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 user names. When it comes to usernames. They

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 can be really super easy to find or really

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 super hard to find Hope.

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 You will have the first scenario in most cases.

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 As in the previous searches for email,

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 addresses here with user names. I would also suggest

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 search engine approach on finding that username of

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 your interest. A good starting point is, if

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 you already have the targets email address because people

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 have the tendency to use the same username on

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 many different places. I would suggest to

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 visit Google, big bing Yandex or

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 even other search engines because you never know which search

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 engine will provide you with needles.

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 The information concerning the online, username

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 search engines. I will mention a few of

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 them actually five.

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 First is the check usernames.com website, which

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 is not my first big when doing the stations, but

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 I have listed it as the first one

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 here because then you will understand the

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 second better as I'm aware the

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 chick usernames.com service. Relies on

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 the service. No. MM. But it links directly

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 to the Turkish profile. When one is identified. As

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 you can see, I'm searching for

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 the username.

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 We know, which is not that good to search for because this

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 username is definitely more popular in use than

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 the name dot. Last name, model.

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 Next

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 is no one.com, which is usually my

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 first stop. When I go investigating usernames, gnome

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 is one of the comprehensive search websites for

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 user names and many sites rely on

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 their searches just like previously mentioned service.

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 Check user names that come

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 As you can see, I have selected to

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 find Tino on the most popular online services.

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 It shows, 25, it shows cut.

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 It shows, 25 of them, with

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 knowing, you can spend some time on finding the best solution that

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 username that might use be used. Cut

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 with. No, MM. You can spend some

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 time on finding the best username. That might

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 be used by your target.

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 Then I have listed the site user search

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 dot-org. This site has the potential to

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 give. You may be the most accurate results, because it's

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 returns a list of identified profiles matching the

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 target, the basic basic search gives

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 you. The results of 45 most popular

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 websites.

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 Next is the site and username search, engine called

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 name wine.com. That's knee

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 and am e VI

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 n e.com. It

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 allows you to begin typing, any partial username

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 and immediately identify registered

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 accounts with the, in the top 10

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 social networks. You can have a good use of

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 this search. When you are not sure about the correct spelling of

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 the username, you simply add or remove a character.

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 And you get immediate results.

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 And last on my list is

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 social hyphen Searcher. That come this

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 username search service besides its Core Business of

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 providing providing various. The

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 targets username being used has a possibility to

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 Monitor and alert you when the username of your interests

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 changes or comes up on some social platform.

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 That's a cool feature.

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 And as before the last approach, I would like to mention is the

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 compromised one. Actually for you

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 to identify targets, username through a publicly available

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 breach. You're probably aware that,

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 as with emails, usernames are also compromised regularly

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 in various data breaches. And data leaks

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 usernames are accompanied along with

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 their passwords hashed or in clear text.

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 I will mention have I been pain.com again

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 and the hash that?

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 I had better luck with the hashed. The

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 process is simple. Similar to the previous instructions. Enter

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 your targets. Username with the intent to

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 discover any data breaches, quick Bridges queries

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 here. You can also make assumptions of the

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 user names as you investigate. For example, let's

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 say you have an email name

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 at example.com. You can also

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 try first name dot last name, then

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 last name DOT. First name?

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 On the first letters of them and so forth.

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 You get the idea, we will talk later in the

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 course in more detail about data, breaches and leaks. So

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 I won't bother you much with them in detail. And

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 now let's move on to the images part. As

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 you know, images are all around us.

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 Almost every device has a camera, actually. I

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 don't know how have you noticed but when they are diverted the

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 advertising mobile phones, they put

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 a lot of effort on the camera part today's phones.

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 At least have two or three cameras as

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 you can presume digital photography. Has created a whole

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 new element for the open source intelligence analysis. Will

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 go through where to look for photos. What

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 tools to use to do a reverse image

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 look up. Actually, do the mystify. What a reverse image

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 lookup is then we will cover

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 Then we will cover the images made a data because almost

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 every image has additional technical data about itself

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 and for last how to approach an image from in

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 forensic perspective.

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 As always search

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 engines, are, are my and

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 your, and everyone's first up, maybe almost

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 every search engine has an

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 option to search for images that they have indexed.

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 I will mention Google Images which are located on

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 the images.google.com address. The

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 second best source for images in my opinion is

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 bing.com / images. Being

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 may not be as good as Google, but it

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 No, but it should never be overlooked and

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 those to search engines in

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 the image. Search context. Are often my go to

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 places. Actually, I think it is better to do

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 searches via the search engines. Then to

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 go directly to some site with, with images,

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 like Picasso the key. The

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 key Point here. Is that a good search engine will keep track

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 of anything published to the internet.

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 And concerning the reverse image searches and

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 the images metadata or exit data. Allow me

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 to show you. What is it all about? They say,

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 an image is worth a thousand words, but if

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 the same image shows up all over the Internet, many

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 times, is that number of words multiplied. Okay.

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 I'm just kidding there. Reverse image, search is

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 a search engine technology that takes an image file, as

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 input query and Returns. The results are related

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 to the image of

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 One of the engines and tools like that is a service called

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 teen eye.

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 Okay, here we are in our favorite privacy. Aware

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 web browser, Firefox and we will visit

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 deny.com. That's

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 t.i. N. E.y.e. Rune.

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 And the. And as you can see, it is pretty much

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 straightforward process. This reverse image

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 search tool will show you where is your image found elsewhere

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 online. The exact duplicate you

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 can upload or enter an image URL.

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 I will take an image URL.

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 From the search box.

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 I will use the Notre Dame.

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 Fire picture from Wikipedia.

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 And paste and search.

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 Now, Dean I will do his thing. And

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 here it is. As you can see, immediately. We got over

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 30 results, actually 36 to

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 be exact eversource is linked and

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 listed here.

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 This is also a great fat of for fact-checking methods.

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 Maybe someone is faking something

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 which you suspect and you can use this method to

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 find out that their picture has been used, maybe 10

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 times the on all over the internet somewhere.

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 The second thing I would like to show you actually first

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 to talk about it, is how

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 much additional information can an image contain that

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 information is called the exif data. The metadata of

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 an image exif stands for exchangeable image

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 file format. When you take a

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 photo with your mobile phone camera that that

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 picture is usually stored in the jpeg format on

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 your phone and besides the information about how the picture looks

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 like additional data is also

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 Stored data may or may not contain

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 when the picture was taken with? What

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 kind of camera, what were the technical settings? Like color file,

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 size, encoding process and so forth, but

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 there's one very important thing and

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 data about it. And that's the

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 geolocation data or the exact GPS coordinates where

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 the picture was taken.

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 Here is a great tool called Jeffrey's image

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 metadata viewer, which was developed by

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00:19:20.300 --> 00:19:21.700
 mr. Jeffrey friedel.

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 You can find it on the address. Exif dot regex,

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 that info / exif

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 that CGI. Okay, it's not the

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 friendliest URL, but believe me, that is

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 pretty irrelevant. When you do your investigations, and

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 when you need some data,

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 So let's check it out.

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 Okay. Again, here we are in our browser and let's close this.

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 And visit the exit tool from mr. Jeffrey friedel

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 on the address. We previously

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 mentioned.

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 I'm sick that right Jax.

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 Okay, and as you can see, it's simple, you

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 can upload or enter the image URL.

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 I've prepared a picture so I will copy paste the

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 URL.

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 Prove that. I'm not a robot.

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 Given your bicycles.

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 And you image data?

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00:21:13.700 --> 00:21:16.500
 Okay. Now, as you can see, we

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 got a lot of data here and I love the most

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 and one of the most important.

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 Information is the location.

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 Where was this picture taken?

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 We even have an option to go directly to Google maps with the

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00:21:37.100 --> 00:21:38.200
 provided coordinates.

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00:21:40.100 --> 00:21:43.600
 I also have to say that this metadata can be stripped down with

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00:21:43.700 --> 00:21:46.500
 ease. There are a lot of online tools

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00:21:46.500 --> 00:21:50.400
 out there that will remove the additional images data. And

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00:21:50.400 --> 00:21:53.400
 okay. I have a task for you. Try to see the

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00:21:53.400 --> 00:21:56.900
 exif data of images on your mobile applications, like

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00:21:56.900 --> 00:22:00.000
 WhatsApp, or Viber or even Facebook. Just

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00:21:59.100 --> 00:22:01.700
 give it a try. Will this work?

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00:22:06.200 --> 00:22:09.500
 And back to our slides. And lastly, considering images.

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 I would like to mention a real formalistic approach to

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00:22:12.200 --> 00:22:15.800
 images. One of the tools is called

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00:22:15.800 --> 00:22:17.100
 photo forensic.

401
00:22:18.800 --> 00:22:22.000
 Be addressing where the tool is located is 29.

402
00:22:21.100 --> 00:22:25.300
 A DOT CH that's 29 A.C.

403
00:22:24.100 --> 00:22:27.500
 H.

404
00:22:27.500 --> 00:22:31.900
 / photo hyphen forensics. This

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00:22:31.900 --> 00:22:34.500
 site allows you to upload a digital image and

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00:22:34.500 --> 00:22:37.200
 then with a set of tools, it allows you to investigate the

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00:22:37.200 --> 00:22:40.100
 uploaded photo. I will only mention a few of

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00:22:40.100 --> 00:22:44.500
 the tools. That's there are cut.

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00:22:46.200 --> 00:22:49.700
 I will only mention a few of the tools that are included. First

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00:22:49.700 --> 00:22:52.600
 you have the magnifier that is a tool with

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00:22:52.600 --> 00:22:55.500
 which, you can see Small hidden details on

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00:22:55.500 --> 00:22:58.200
 an image. It simply magnifies the picture to

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00:22:58.200 --> 00:23:01.200
 the smallest pixel size, so you can better see

414
00:23:01.200 --> 00:23:04.500
 if something is odd looking with the image. You

415
00:23:04.500 --> 00:23:07.100
 can also apply different contrasts while looking at the

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00:23:07.100 --> 00:23:10.900
 pixels. Then you have a tool called clone detector.

417
00:23:10.900 --> 00:23:13.500
 That highlights copied regions inside the

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00:23:13.500 --> 00:23:15.400
 uploaded image this

419
00:23:16.100 --> 00:23:20.300
 Can be a good indicator that a picture has been manipulated minimal

420
00:23:19.300 --> 00:23:22.800
 similarity, determines how similar the

421
00:23:22.800 --> 00:23:25.200
 Clone pixels need to be to

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00:23:25.200 --> 00:23:26.400
 the original picture?

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00:23:27.800 --> 00:23:30.500
 Then the tool error level analysis compares. The

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00:23:30.500 --> 00:23:34.100
 original uploaded image to a recompressed image.

425
00:23:33.500 --> 00:23:36.800
 With this method, you can potentially notice

426
00:23:36.800 --> 00:23:40.000
 a difference in the image in is

427
00:23:39.400 --> 00:23:42.300
 some section darker or brighter.

428
00:23:43.400 --> 00:23:46.400
 There are more tools inside the school forensic, image tool and

429
00:23:46.400 --> 00:23:49.100
 I really encourage you to go through the help section of the

430
00:23:49.100 --> 00:23:52.200
 photo forensic site to learn about it better.

431
00:23:57.300 --> 00:24:00.900
 And now we are ready for my personal favorite section

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00:24:00.500 --> 00:24:03.900
 hosting. The it systems. And

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00:24:03.900 --> 00:24:06.300
 the reason to that is because basically I'm an

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00:24:06.300 --> 00:24:09.400
 IT guy or better to say a cyber security professional who

435
00:24:09.400 --> 00:24:13.000
 derived from the system engineering field. So

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00:24:12.200 --> 00:24:15.100
 see you in the next session and see you in

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00:24:15.100 --> 00:24:16.500
 the next video. Bye.
