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Welcome to part one of this module

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in this video.

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We're going to be taking a look at the open source intelligence program called multi Argo which comes

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pre installed in Cali Linux

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Montego is a very fun program to use.

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Which is why I've chosen it as the first program I'll be covering in this section.

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It is graphical and therefore very easy for visual oriented people to get used to.

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The program is very powerful and will allow for detective work of all kinds against various entities

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organizations persons.

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It can be used for foot printing for reconnaissance for fingerprinting and for a number of other open

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source intelligence possibilities.

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So we're gonna go ahead and load multi go.

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This can be done a number of ways.

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You can either go up to applications information gathering multi go or you can just load it from the

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main sidebar if it's there the first time you load the community addition you'll be asked to register.

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This is a standard procedure you just click the link and input your data once you're registered you

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will have the right to use the Community Edition which is somewhat limited if you like the tool.

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There is a commercial version available that has a great deal more options and power available to it.

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I should say that the goal of this tutorial is not to make you a master detective but rather to give

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you the basic skills and overview that you can play with the software.

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And from there develop your sleuthing skills through practice

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so this first screen that we find ourselves on is the transforms hub.

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I'll explain what this is shortly but to begin with we're going to want to start playing with the tool

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so we you get so that we can get a feel for what these various transforms are.

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So we're going to open a new graph by going up to this little icon in the upper left and clicking on

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it.

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Now we have an open empty graph.

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We notice that on this side panel there are numerous entities listed these are targets essentially that

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we can investigate.

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For example let's say we wanted to investigate a specific Internet domain.

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We click on domain and we drag it onto the graph.

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Now we can edit this by double clicking and we can change this to anything we want.

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I'm going to go ahead and use Space X dot com as a demonstration

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and now we have the domain that we wish to investigate if we right click we have the option to run what's

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called transforms transforms are essentially scripts that scour the Internet for open source intelligence

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data we could gather all of this data by hand but it would take a great deal of time as you can see

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there are numerous options and if we expand these options we can see that there are yet more options

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contained within them.

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We're going to begin by running all transforms by clicking the run all button

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as you can see at the bottom of the screen the transforms are running

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and here we've pulled up a great deal of data more data than I actually really intended to for this

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demonstration but that's OK

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here we have the VPN Space X dot com we have other Web sites associated with Space X dot com We have

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email addresses associated with Space X or at least the domain

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C we have names of individuals phone numbers come up.

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As well as related web entities.

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If we zoom out

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we can look at this by color as you can see.

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The key is right down here and it explains what each of these colors is

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now.

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Each one of these items that we have discovered we can run individual transforms against for more information.

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So for example

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let's say we wanted to investigate this email address.

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We will run all transforms against this email

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transforms are running

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and I should mention that you can scroll in and out using your mouse wheel.

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It's also possible to look at this information in different ways which I will show you in a moment

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so this email is associated with someone by the name of Brandon Spikes and there are two more emails

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that are associated with it.

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I should also mention that the number of results you get will be slightly limited in the community edition

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of multi go each transform can produce twelve total results of a particular type with the with the licensed

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edition.

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You can get up to 10000.

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And with this scroll bar you can control the number that you get.

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It's not always fruitful to get an excessive number of results

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sometimes it is advantageous to limit them

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we can also change the way the data is presented by clicking these icons we're currently in block mode.

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This is hierarchical mode

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circular mode

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organic mode.

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Now I'm going to close this and we'll begin a new search

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I mentioned that it's possible to add more transforms the more transforms you add the more potential

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results you can get.

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For example

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if we added the have I been ponied transform this will cause Montego to check against the have I've

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imposed lists for e-mails at through pastebin and potentially find compromised accounts.

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This can be useful when conducting reconnaissance for your own corporation to identify which of which

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accounts have been compromised.

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Some of these transforms are free.

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Some of them are not.

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Some of them require an API key that is semi free.

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For example showdown will require an API key.

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This key is free and will get you some results.

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But in order to use it to its fullest potential you will have to buy it have I've imposed on the other

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hand is completely free to install a transform off the list.

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Just click install

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and that will open up a new graph

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and we're going to check a domain again this time we're going to look up the domain of a game company.

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Now this company is called ion realms but it runs several games and we're going to look up one of the

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individual games to see if it links us back to the company.

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In other words if we didn't already know the parent company well let's see what it pulls up.

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We'll run all transforms.

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This will include the newly installed have I been Poland.

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It appears that no breaches have been detected

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here we have the net block associated with the domain in question we can double click it and see the

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IP range we can click properties for more information.

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Unfortunately in this particular example there isn't very much

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we can see related domains.

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Some of them may not in fact be connected and you could delete erroneous results

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and here we have privacy.

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No IP dot com so it's good to know that this company is protecting itself

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let's have a closer look at their website.

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We will run all transforms against it.

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And we'll just go with the default settings.

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Now we can see information about what their Web site includes.

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There's the no IP protection that I mentioned and CloudFlare as well as the always popular kiss metrics

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BHP is included as well as Facebook for Web sites.

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We have an IP address and now we're starting to see related information.

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Here is the company that I mentioned the parent company that owns the game that's ion realms dot com

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firearms rooms Inc.

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Owns the arcade game.

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It also owns told the Star morn and let's see if any others came up doesn't look like it

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however from here now that we know the parent company we can run transforms against it and see what

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comes up.

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Quite a bit seems

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we can see a great many email addresses associated with these individual games.

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We can see the iron rooms dot com domain

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we can see administration addresses

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and now let's say that we wanted to check all of the emails associated with our search simultaneously

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against have been posted to see if any of these accounts that are used by this company have been compromised

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so it would be very tedious to select each one individually so we're going to click the select by type

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or rather add similar now we've selected all of the emails at once and we don't need to run all the

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transforms for the question we're asking we just want to know if any of these accounts have showed up

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on have I been posted.

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So we're going to run that individual set of transforms by clicking the run all for that particular

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option

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except the disclaimer

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and it looks like the tool has not found anything yet

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it appears that none of these accounts have been breached.

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Now let's say that we wanted to investigate a particular individual somewhere to close this existing

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graph and start a new graph

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and this time I'm going to drag the person icon and we're going to create the president Donald Trump

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click OK and this is the problem with researching a celebrity is that you usually get a lot of results

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and not all of them are applicable spy running all transforms.

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It may prompt me to log into Twitter.

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It didn't because my logging was still good.

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You would probably be prompt prompted if this was your first time running these transforms because as

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we know the president is very fond of Twitter

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so

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we'll try this one.

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Tweets that this person wrote

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and here we have all of the latest tweets.

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There would be a great many more.

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But remember that multi go community edition is limited in how much information you can pull up at one

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time.

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So as you can see there's a great deal of information that can be pulled up using multi go and the real

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trick is just to play around with it.

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Try try looking into companies domain names people whatever you like that you could normally look up

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on the Internet and you could assemble all of this information by hand.

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You could piece together each individual email address you could find out how it associates with others

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but all of this information is available through multi go

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it could even look at Twitter and search by hashtag

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for example.

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Well hashtag multi go or run the transform

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and this will pull up all the most recent tweets using that hashtag and remember with the license version

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you can get up to 10000 results of these at a time

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so it may be good to limit them

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another fun little feature of multi go is that you can actually look at the tweet sentiment which is

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to say let's click on a particular tweet.

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And we can determine.

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Excuse me what sentiment.

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It has been assigned this particular one comes up as negative.

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Let's try another one.

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Let's try another one.

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Here we go sentiment negative.

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So once again it would be rather tedious to check each individual tweet for its sentiment.

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So we'll click on one of the tweets and then select by type and now will run sentiment transform

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and see which treat tweets are positive negative or neutral.

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And this might seem silly but consider imagine that you used another open source intelligence program

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or perhaps you are just familiar with the makeup of a particular organization.

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Let's say a company and you knew who the employees of this company where you had a list.

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So you decided to run transforms against people you would drag a person onto your graph you would enter

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their name.

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You could do multiple people at once if you pleased and you could pull up your tweets and then looking

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at their tweets you can check the sentiment of their tweets.

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You can see what they're saying how much of what they are saying about their own company is negative.

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How much is positive.

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You can really get a great deal of information about who a person is based on this.

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And it's also useful for finding points of compromise.

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Employees who are dissatisfied.

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For example whose security practices may not be ideal.

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This is something that you can infer sometimes based on tweets.

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It also allows for the use of targeted social engineering.

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The more you know about a person the easier it is to devise a social engineering attack that is appropriate

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for them.

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And just from what we're looking at now we can infer that the president is in more of a bad mood at

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this particular moment in time than a good one.

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Most of his tweets are negative only one of them is neutral

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we can also look at Twitter affiliations.

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This would show who wrote tweets to the person.

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I suspect that given the nature of the celebrity in question this would be a very long list and it would

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not produce very useful results particularly as were given to a limit of twelve results for the community

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addition.

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However it may be interesting to see who this individual has written tweets to so let's do that

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no real surprises here.

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I'm afraid I can't tell from this picture it's rather small on my screen and I don't read Japanese but

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I'm going to guess that that is the prime minister of Japan

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and we could have a look at these individuals.

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Actually let's have a look.

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At this individual or on transforms against the person and see what comes up.

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Japanese Well anyway you see how this can get very complicated very quickly.

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Let's try Eric Trump.

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We'll look at the person

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sometimes we have to break it down multiple times

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and I'm not too sure how much of this is really useful but it's interesting to see what comes up it

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can be fun.

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We have a look at their tweets

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now.

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Let's have a look at their attitude or their sentiment excuse me.

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Well I'm afraid the uh graph layout is quickly becoming a mess.

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We've got a bit too much information on our screen at the moment.

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So

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I could change the layout but I'm not sure that would really help in this case.

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But as you can see a great deal of information can be pulled up very quickly

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and associations can also be inferred and discovered.

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For example we could learn about the Eric Trump Foundation.

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This appears to be a twitter link

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just listed as an affiliation so

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let's see what comes up for location

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New York City so I take it that it is based out of New York City.

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OK

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this particular aspect has been well demonstrated so I'm going to close these graphs and talk a bit

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about the differences multi-year transforms and what they entail

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so as we've seen demonstrated in this module there's a wealth of information that can be called up with

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this tool multi go can be used to draw conclusions about people and organizations and to establish links

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between them.

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It's a powerful research device that can really allow you to do some deep detective work if you're willing

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to put in the time to learn all of the nuances of the tool.

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Now as I said at the start of this tutorial My goal was not to give you an absolute understanding of

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every possible use of multi go but to give you enough tools to get your feet wet so that you can play

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around with it and learn for yourself all the various different applications and possibilities that

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multi ego has to offer.

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You can also go back to this tool at various points throughout this class and take pieces of information

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that you may acquire through your own experimentation with other open source intelligence tools and

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run them through multi go to see what else you come up with sometimes Montego will generate a result

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that another program like for example recon and G might not yield.

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So by using these tools in concert you can gain a more clear picture of whatever your target may happen

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to be and it can help you to identify weaknesses as well as trends or just gain information that is

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necessary for larger projects you may be working on.

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It should also be noted that there are a great many additional transform packages that can be installed

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from alter ego.

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Now I'm really not an expert on all of them and I think that there's probably no limit to the number

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that can be created using the framework that is presented with multi go with most of the transform packages

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being coded.

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I believe in X AML and a few of them being coded in Python if you're interested in learning more about

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creating your own transform packages.

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There's a great deal of useful information available on the multi goat Web site in the modern era.

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Information can be weaponized so multi go is also a useful defensive tool to look over an organization

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and make sure that there are no points of compromise.

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For example the I have I've been to transform that was run earlier in the video had it actually drawn

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up a result we could have found compromised emails on pastebin along with their passwords and the individuals

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who have been compromised might have absolutely no idea that they were compromised by that particular

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breach.

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And since security practices can be rather lax especially in some organizations if you have one person's

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email and password if they use that same password and maybe email across multiple accounts then they

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may be unwittingly creating a point of compromise that can be leveraged to break into higher level and

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more secure areas of their life or their organization.

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So good security practices are essential and multi go is a way of sniffing out these vulnerabilities

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and correcting them before more nefarious individuals find these weaknesses and exploit them.

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As was mentioned earlier in the video which you've seen used in this tutorial has been the multi go

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Community Edition.

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Now the community edition has the limits that I mentioned.

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It is also not possible to export the graphs that you create to either make them into presentations

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or for use with other tools.

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But the licensed edition will allow these features to be utilized.

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So if you like multi go and you use it a lot you should consider getting a license.

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This concludes the basic introduction to the multi go tool.

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I hope you enjoy it.

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I hope you have a lot of fun playing around with it.

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Thank you.