1 00:00:00,020 --> 00:00:06,800 If you would like to create a graph of the information that you have gathered about a person or a company, 2 00:00:06,800 --> 00:00:13,850 then you can use a website called Osint tracker that will allow you to create a network or a graph of 3 00:00:13,850 --> 00:00:15,770 the information that you have gathered. 4 00:00:16,190 --> 00:00:21,830 This will help you to present the information that you have gathered more professionally, and will 5 00:00:21,830 --> 00:00:25,880 give you an overview of the information that you have gathered. 6 00:00:26,870 --> 00:00:32,930 So you want to click on launch app and then you want to click on yes. 7 00:00:33,440 --> 00:00:35,960 And after this you can click on Osint tracker. 8 00:00:36,500 --> 00:00:38,690 And you want to create an investigation. 9 00:00:38,690 --> 00:00:40,520 So you want to click on add. 10 00:00:40,580 --> 00:00:44,270 And then we can say Rishi Kabra for example like this. 11 00:00:44,270 --> 00:00:48,230 And then we can add a description and then click on add. 12 00:00:48,590 --> 00:00:52,040 After we create our investigation we can click on it. 13 00:00:52,040 --> 00:00:55,340 And the first thing we can do is to create entities. 14 00:00:55,340 --> 00:00:58,130 So I can click on add this first entity. 15 00:00:58,130 --> 00:01:03,290 And then I'm going to say that this entity is going to be Rishi Kabra or it's going to be called Rishi 16 00:01:03,320 --> 00:01:03,770 Kabra. 17 00:01:03,800 --> 00:01:07,790 I can add a URL and then I can specify the category. 18 00:01:07,790 --> 00:01:14,240 So I can say that this is a person like this, I can add a badge or choose a certain color. 19 00:01:14,360 --> 00:01:18,080 I can also upload an image or add some comments. 20 00:01:18,080 --> 00:01:22,670 So I'm going to upload Rishi Kabra profile image like this. 21 00:01:22,700 --> 00:01:24,560 And then click on add. 22 00:01:24,590 --> 00:01:27,020 And now we have an entity. 23 00:01:27,110 --> 00:01:33,020 The second thing we can do is to create another entity and we can call it Facebook for example. 24 00:01:33,020 --> 00:01:37,010 And then we can add his Facebook profile URL like this. 25 00:01:37,010 --> 00:01:41,900 And then I'm going to say that this is going to be Facebook and then Add. 26 00:01:42,110 --> 00:01:44,150 And now we have another entity. 27 00:01:44,180 --> 00:01:49,760 The only thing that is missing right now is to add a relationship between Rishi Kabra and his Facebook 28 00:01:49,760 --> 00:01:50,360 account. 29 00:01:50,360 --> 00:01:52,670 So I can click on relationship. 30 00:01:52,730 --> 00:01:58,880 And then you want to drag an arrow from his entity to the other entity like this. 31 00:01:58,940 --> 00:02:06,560 And then I can label it so I can say that he uses Facebook and I can add a color, for example, add 32 00:02:06,560 --> 00:02:09,440 a source, start date, start time, etc.. 33 00:02:09,440 --> 00:02:10,970 So I'm going to say add. 34 00:02:10,970 --> 00:02:14,720 And now we can see that Rishi Kabra uses Facebook. 35 00:02:14,720 --> 00:02:20,910 So you want to keep doing this until you have a full graph of all the information that you have gathered 36 00:02:20,910 --> 00:02:28,320 about a company or a person, you can also specify whether this entity is important or critical or not 37 00:02:28,320 --> 00:02:32,940 by clicking on this or enabling this, and then save. 38 00:02:33,210 --> 00:02:35,400 And now it's marked in red. 39 00:02:36,240 --> 00:02:39,750 And once you are done, you want to export your investigation. 40 00:02:39,750 --> 00:02:43,170 So you want to click on this and then click on export. 41 00:02:43,770 --> 00:02:45,690 And then you can call it whatever you want. 42 00:02:45,720 --> 00:02:47,160 And then click on export. 43 00:02:47,160 --> 00:02:52,680 And the next time you want to open this graph you want to go to Austin Tracker. 44 00:02:53,280 --> 00:02:56,310 Click on yes and click on import. 45 00:02:56,310 --> 00:03:00,720 And then you want to choose the file that you have downloaded which is this one. 46 00:03:01,410 --> 00:03:02,700 And then import. 47 00:03:02,700 --> 00:03:06,390 And then we can open it and see our investigation. 48 00:03:07,080 --> 00:03:13,890 I have added most of the information we found about Rishi Kabra to the graph, and now we will review 49 00:03:13,920 --> 00:03:14,460 it. 50 00:03:14,520 --> 00:03:16,800 Now these are not all information. 51 00:03:16,800 --> 00:03:24,390 There are much more in our notes, but I have added only the main entities that did us to find his personal 52 00:03:24,390 --> 00:03:30,570 and business email, his phone numbers, his social media networks, home address and so on. 53 00:03:30,570 --> 00:03:32,370 So here we have Rishi Kabra. 54 00:03:32,400 --> 00:03:36,930 The first thing that we were able to find about Rishi was his LinkedIn account. 55 00:03:36,930 --> 00:03:44,430 And on his LinkedIn account, we have seen that he works at contact out and at a company called Athena. 56 00:03:44,430 --> 00:03:50,940 And this is the member ID of his LinkedIn account, just in case he changed his display name or his 57 00:03:50,940 --> 00:03:52,590 username on LinkedIn. 58 00:03:52,620 --> 00:03:58,860 And using signal higher browser extension, we were able to find his business email address, his business 59 00:03:58,860 --> 00:04:01,710 phone number, and his personal phone number. 60 00:04:02,640 --> 00:04:09,540 The next thing that we were able to find was his Facebook account and on his Facebook account, he actually 61 00:04:09,540 --> 00:04:11,100 posted a lot of information. 62 00:04:11,100 --> 00:04:17,190 For example, his Facebook account led us to his Snapchat account, to his ex account, GitHub, and 63 00:04:17,190 --> 00:04:18,900 to his Instagram account. 64 00:04:18,900 --> 00:04:22,260 And we were also able to find some of his family members. 65 00:04:22,260 --> 00:04:28,230 And we have extracted the profile ID of his Facebook account on his GitHub account. 66 00:04:28,230 --> 00:04:34,230 We were able to find his personal email address in the Readme file, and the same email address was 67 00:04:34,230 --> 00:04:36,570 also used on his YouTube channel. 68 00:04:36,570 --> 00:04:43,250 We have also performed username enumeration, which led to his gaming YouTube channel and on his gaming 69 00:04:43,250 --> 00:04:43,880 YouTube channel. 70 00:04:43,880 --> 00:04:49,640 We were able to find his gaming email address on his new Twitter account. 71 00:04:49,640 --> 00:04:56,360 We were able to find that he had a deleted tweet, and I've added in here and this is his user ID, 72 00:04:57,530 --> 00:05:03,680 and on his Instagram account, we were able to find two public comments that he made on a public page. 73 00:05:03,680 --> 00:05:10,430 Although he has his Instagram profile set to private, we have also checked leaked databases and we 74 00:05:10,430 --> 00:05:17,990 were able to find that he lives in Kolkata, India and we were also able to find his home address and 75 00:05:18,020 --> 00:05:23,030 on his LinkedIn account, we were able to find that he studied at the SRM University. 76 00:05:23,120 --> 00:05:29,900 Now, as I said before, this is only a basic visualization just to show you the information that we 77 00:05:29,930 --> 00:05:33,740 were able to gather just by using Osint. 78 00:05:33,920 --> 00:05:40,970 Now, of course, if you are investigating a group, then this network is going to be much larger than 79 00:05:40,970 --> 00:05:47,810 this and it's going to be full of entities and complex relationships between each entity.