Qwarie

mSIS is a multi-source investigating suite with OSINT/i3 research functionality, and with a templated Evidence Report feature

Qwarie - mSIS

mSIS is a multi-source investigating suite with OSINT/i3 research functionality, with a templated Evidence Report feature, that combines to deliver the user with exceptional productivity. Please email us for more details.


Twitter Research Tasks With mSIS

Without making any contact with any individuals identified during this exercise, try to complete the following tasks using the links on the Twitter page of our training & resources website at www.uk-osint.net. Spend between 30 – 45 minutes on these tasks but if you are struggling try selecting another account to view, move on to the next task or ask for assistance.


Some of these Tasks will require you to have a Twitter account set up, as some of the sites & resources used need to be ‘Authorised To Work With Your Twitter Account’, however this Twitter account can be a false persona account or your own, as you will not be required to post anything or Follow anyone and you will not leave a footprint which other account holders can view.


1.   Using the link for ‘OneMillionTweetMap’ under the ‘Twitter Location Details’ heading, search your current location or nearest city or large town, work address or home address to identify any recent Tweets being sent near to that location. Pick one and look at that account on Twitter, reading any recent tweets and looking at any photos and then using the mSIS function to ‘Grab Account ID’ add this account to your mSIS Research, checking that the URL and Account ID have been recorded


2.   Now Use the mSIS function to ‘Take Screenshot’ either selection the ‘Visible’ or ‘Selection’ options and add it to your mSIS research


3.   Now using the ‘Advanced Search’ function from mSIS linking to TweetBeaver, using their ‘Get A Users Account Data’ option to answer the following ;

     What is their Twitter Account Name:
     What is their Twitter Account ID Number:
     When was this account created:
     How many Tweets have they sent:
     How many Accounts do they follow:
     How many Accounts follow them:
     How many Tweets have they sent:


4.   Now using the link for ‘Teaching Privacy’ or ‘Tweet Mapper’ under the 'Twitter Location Details' heading, search this Twitter account name to identify to location of any previous Tweets, looking to identify any hotspots, which may by a possible home address or work location


5.   View the profile image for this Twitter account and use the ‘Reverse Image Search’ technique to locate any linked accounts or try to identify what or who is shown in the image


6.   Read the Bio / About details for this Twitter account and then using this together with the account name and display name, use a search engine to search for any other information or linked social media accounts, checking to see if any posts from the Twitter account are linked to posts on these new sites


7.   Using the link for ‘TwitterFall’ under the ‘Twitter Location Details’ heading, enter the details of the nearest large city in the geolocation tab, then entre some terms under the searches tab, such as names of local sports teams or use drugs or crime terms, now monitor the accounts that fall within these groups and checkout any accounts of interest


8.   Now using one of the links under the heading of ‘Turn A Twitter ID Number Into The Current Twitter Account Name’ what is the Twitter account name that relates to the Twitter ID Number of 18953259 and when was this account created


9.   Now using one of the links under ‘Mutual Followers / Following’ heading, compare the twitter accounts of @qwarie_osint & @neilsmith2202, how many ‘Followed by’ and ‘Followers of’ do they have in common:

     Followed By:
     Followers Of:


10.   Now using the link for ‘TweetBeaver’ search for any public conversation between the Twitter accounts of @EmmaKennedy and @Herring1967, display any located conversation on the screen and then downloading as a CSV / Spreadsheet


11.   Now using the links on ‘TweetBeaver’ convert the Twitter Account ID Numbers of 19017675 & 3131144855 in to Account Names and then research to see if they follow each other

     19017675 = @
     3131144855 = @


12.   Now using one or two of the links under the ‘Mutual Followers / Following’ heading, check both of these accounts to see what if any accounts they have in common as Followers and Following

     Common Number Of Followers:
     Common Number Followed By:


13.   Now using the link under the ‘Deleted Tweets From Politicians’ heading, check both of these accounts for any recent deleted Tweets & posts


14.   Now using one of the links under the heading of ‘Turn A Twitter ID Number Into The Current Twitter Account Name’ to convert the Twitter Account ID Number of 162449244 into a Twitter Account Name


15.   Now using this Twitter account name, search it on the link for ‘Tweet Mapper’ under the “Twitter Location Details” heading, to identify any locations linked to any previous Tweets from this account


16.   Now view the ‘Media’ postings from this Twitter account, to see if any of the images and posting match the locations show from the ‘Tweet Mapper’ research


17.   Now using this Twitter Account Name, use it with the link for ‘AllMyTweets’, under the heading of ‘Other Useful Sites’, to obtain a copy of all of the Tweets from this Twitter account, saving that page and then saving the content in to word or spreadsheet type documents