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These are the user uploaded subtitles that are being translated: 1 00:00:01,930 --> 00:00:09,130 In this video, we're talking about what is isn't so Wikipedia's entry about URLs that I really like 2 00:00:09,130 --> 00:00:09,490 a lot. 3 00:00:10,330 --> 00:00:12,520 And it states open source intelligence. 4 00:00:12,820 --> 00:00:20,290 Olson is data collected from publicly available sources to be used in the intelligence context in the 5 00:00:20,290 --> 00:00:21,650 intelligence community. 6 00:00:21,670 --> 00:00:29,890 The term open refers to overt, publicly available sources such as covert or clandestine sources, is 7 00:00:29,890 --> 00:00:33,340 not related to open source software or public intelligence. 8 00:00:36,150 --> 00:00:40,440 So what are some things that we could actually find with those? 9 00:00:40,620 --> 00:00:47,220 Well, using those whom we could find things like email addresses, phone numbers, addresses, identities 10 00:00:47,760 --> 00:00:53,430 we could do, background checks we could use social media account when social media accounts and information 11 00:00:53,430 --> 00:01:01,200 on social media accounts, criminal records, we can investigate potential scams and other things such 12 00:01:01,200 --> 00:01:06,300 as passwords, deleted content from the internet and whatnot. 13 00:01:07,640 --> 00:01:12,140 There's quite a variety of things that we could actually use open for and to search for. 14 00:01:13,660 --> 00:01:16,240 So who uses Ozone? 15 00:01:16,780 --> 00:01:23,230 Well, a lot of people will use Olsen, such as law enforcement security professionals, most attackers 16 00:01:23,230 --> 00:01:28,180 even use illicit businesses, investigators, journalists and home users. 17 00:01:30,460 --> 00:01:39,860 Now, using the different tools of Open-Source tools and open source records and whatnot, such as trace 18 00:01:39,860 --> 00:01:45,610 like Linux, which we're going to be getting into later in the course Maltego, Google fans, operators 19 00:01:45,610 --> 00:01:51,370 et cetera, we could take all this data and actually begin to build a larger picture. 20 00:01:53,670 --> 00:01:54,120 So. 21 00:01:55,240 --> 00:01:59,980 By taking this information again, we can piece together the information into a bigger picture. 22 00:02:00,430 --> 00:02:04,600 So see a Facebook user name. 23 00:02:04,600 --> 00:02:07,000 We're doing an investigation on a Facebook user. 24 00:02:07,180 --> 00:02:12,700 Well, that Facebook user could potentially lead to a specific Facebook post. 25 00:02:12,970 --> 00:02:17,170 The fact that Facebook post may have been what originally brought us here the specification. 26 00:02:17,920 --> 00:02:23,260 So from the Facebook post, we might be able to generally find their Facebook name. 27 00:02:23,260 --> 00:02:30,190 Their Facebook may name a lead of the user's email address, location, listing work and so on and so 28 00:02:30,190 --> 00:02:30,430 on. 29 00:02:32,170 --> 00:02:37,420 And from there, we might be able to take that email address and then research a data breach, don't 30 00:02:37,780 --> 00:02:44,140 that data breach don't will most likely come up with a user's password hash that password hash on hashing. 31 00:02:44,140 --> 00:02:47,770 It will most likely reveal that a unique password, hopefully. 32 00:02:48,790 --> 00:02:55,630 And that unique password could then be used and searched to find a user's real email address, potentially 33 00:02:55,840 --> 00:03:01,060 that real email address could potentially lead to the user's real identity in location. 34 00:03:01,360 --> 00:03:06,280 And this would all start from, say, a Facebook username or a specific post on Facebook. 35 00:03:07,450 --> 00:03:07,840 Now. 36 00:03:08,970 --> 00:03:15,360 As we gather and analyze this data on our target, again, the data can lead to and to other users in 37 00:03:15,360 --> 00:03:22,110 that in that can Iraq, whether that particularly Iraq with our target rather and by collecting information, 38 00:03:22,110 --> 00:03:25,740 we ultimately build a broader picture of what we're looking for. 39 00:03:26,160 --> 00:03:31,290 So again, all these little pieces that we're finding username a post somewhere. 40 00:03:31,650 --> 00:03:33,480 Well, password, a data breach. 41 00:03:33,780 --> 00:03:35,730 A unique, unique username. 42 00:03:36,390 --> 00:03:41,880 All these little things will potentially splinter off to other places in other information they will 43 00:03:41,880 --> 00:03:45,300 find and ultimately when we bring all the information back together again. 44 00:03:46,350 --> 00:03:48,120 It helps build a larger picture. 45 00:03:50,620 --> 00:03:57,580 Now, people that use Olsen, for example, employers might check their social media so. 46 00:03:58,690 --> 00:04:04,000 Employer checks or social media, it could be potentially be for, well, finding out what people think 47 00:04:04,000 --> 00:04:11,230 about their company potential grievances people have with the company in this case. 48 00:04:11,410 --> 00:04:18,700 KFC worker fired after Facebook show photos show her looking potatoes and also the person that took 49 00:04:18,700 --> 00:04:22,870 the photo, so doing some investigation potentially could lead to this. 50 00:04:23,890 --> 00:04:29,290 I'm sure some like this would quickly hit the news and come up in their radar anyways. 51 00:04:29,290 --> 00:04:37,270 But being proactive, a company doing an investigation, runny nose and searches on a periodic or regular 52 00:04:37,270 --> 00:04:43,360 basis may potentially get a hold of this before it actually gets out and damages her reputation. 53 00:04:43,750 --> 00:04:48,730 So again, employers may use those in to monitor social media activities related to their company and 54 00:04:48,730 --> 00:04:51,010 or its employees, for example. 55 00:04:53,930 --> 00:05:00,880 It can also be used for, say, dating sites like Tinder or any number of online dating services. 56 00:05:01,750 --> 00:05:07,750 And this can be for in this in this representation, it's a woman sort of going on online dating, and 57 00:05:07,750 --> 00:05:14,620 of course, it can be anyone but individual may use open to verify the individuals who are considered 58 00:05:14,620 --> 00:05:15,310 going on a date. 59 00:05:15,310 --> 00:05:19,090 With that, they're accurately representing themselves. 60 00:05:20,660 --> 00:05:27,110 Again, people being online tend to, well, exaggerate sometimes or flat out lie. 61 00:05:28,310 --> 00:05:31,460 And when it comes to online dating, they can be especially dangerous. 62 00:05:32,480 --> 00:05:34,460 Unfortunately, more so for women. 63 00:05:35,370 --> 00:05:42,780 So again, a woman may use it to if they see someone that that there seem to be getting along with, 64 00:05:42,780 --> 00:05:47,820 they might use those and actually dig deeper into this purse and find out will they say they work here 65 00:05:47,820 --> 00:05:54,690 and they and they have a home and in this and that and it does he know something maybe potentially dig 66 00:05:54,690 --> 00:05:55,600 through and go, well, OK. 67 00:05:55,600 --> 00:05:56,490 And our photos fake. 68 00:05:57,240 --> 00:05:59,220 They use some stock photo. 69 00:05:59,410 --> 00:06:00,820 Oh, that's not really them. 70 00:06:00,840 --> 00:06:03,390 That's not really the location that they say they're coming from. 71 00:06:04,230 --> 00:06:06,930 Or they may have a criminal background that they denied. 72 00:06:07,170 --> 00:06:12,990 Things like that it could help protect a person from potentially potential. 73 00:06:13,260 --> 00:06:17,610 Well, we could say fraud or misrepresentation of themselves. 74 00:06:19,570 --> 00:06:24,610 Now, law enforcement or network admins could potentially use those to go after a malicious hacker. 75 00:06:24,820 --> 00:06:30,970 So who can help track down malicious hackers a compromised network or try to compromise the network 76 00:06:31,240 --> 00:06:38,710 again by taking the information such as wherever they have email address, a IP address, whatnot? 77 00:06:38,710 --> 00:06:44,410 They could potentially use that to trace back to whoever attacked their network or again attempted to 78 00:06:44,680 --> 00:06:45,760 protect their network. 79 00:06:46,450 --> 00:06:48,040 So these are all different things that. 80 00:06:49,090 --> 00:06:52,240 That also could be used for essentially what Osama is. 8777

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