1 00:00:00,000 --> 00:00:12,260 Thanks for waiting, everybody. First off, really quick, this is a non-important warning. If you're an expert, just leave. Seriously, you're not going to offend me. Don't, you know, stay here. 2 00:00:14,400 --> 00:00:18,980 Basically, what I want to talk about is data forensics, incident response, and open source 3 00:00:18,980 --> 00:00:25,760 tools, or, excuse me, open source intelligence tools. And if you saw Rhett's talk, go eat 4 00:00:26,320 --> 00:00:30,060 and bring me some beer or cider or something, because I'm pretty nervous standing up here 5 00:00:30,060 --> 00:00:34,880 right now. And if you're a noob and you know it, clap your hands. 6 00:00:40,560 --> 00:00:41,220 All right. 7 00:00:42,700 --> 00:00:47,960 So, as I said, this talks about DFIR automation orchestration tools for open source intelligence 8 00:00:47,960 --> 00:00:56,580 and reconnaissance. And since Jay Haddix had the slide of basically doing OSN like a boss 9 00:00:56,580 --> 00:00:59,720 or something like that, I had to switch my slide. Didn't know that he actually had that, 10 00:00:59,840 --> 00:01:01,820 so I switched it to collecting evidence like a robot. 11 00:01:05,340 --> 00:01:09,480 Typical disclaimer. Opinions are mine or borrowed and may not represent my employer. 12 00:01:09,960 --> 00:01:11,200 They're really just concepts. 13 00:01:11,200 --> 00:01:12,720 And opinions are nothing more. I'm not a lawyer. 14 00:01:14,720 --> 00:01:24,320 Who am I? Okay. So, my name is Tyler Rohrbaugh. I have 14 years in cyber. Yes. You know. 15 00:01:24,760 --> 00:01:32,480 I said cyber. Primarily, my work's been in vendors, consulting, and contracting. And 16 00:01:32,480 --> 00:01:37,140 I've tried stuff in a variety of different areas, but I'm not an expert in anything at 17 00:01:37,140 --> 00:01:38,180 all. Okay. 18 00:01:38,280 --> 00:01:39,360 So that's why I said. 19 00:01:39,360 --> 00:01:45,460 If you're a noob, this is great for you, because I'm definitely a noob. This is also 20 00:01:45,460 --> 00:01:46,680 my first talk. So. 21 00:01:52,060 --> 00:01:59,480 Okay. So, if you guys have been in any of the other talk for OSN, there's 22 00:01:59,480 --> 00:02:06,700 a lot of tools that exist. There's DataSploit and Tree.io, which was talked about. NetGlobe, 23 00:02:06,720 --> 00:02:09,340 Recon, NG, Palantir, which is a very big one. But, you know, there's a lot of tools that 24 00:02:09,340 --> 00:02:15,160 exist, but it's very expensive. Maltego, Hunchly, which I think is pretty new. And there's 25 00:02:15,160 --> 00:02:21,040 a really cool website called Awesome OSN on GitHub, if you haven't already seen it. It's 26 00:02:21,040 --> 00:02:25,680 pretty useful. It's got a lot of information. And then, from that standpoint, you can just 27 00:02:25,680 --> 00:02:30,180 keep going and going and going. And part of this talk goes actually about that, is 28 00:02:30,180 --> 00:02:35,280 that, from what I've seen about a lot of OSN gathering, you either have pen testing or, 29 00:02:35,820 --> 00:02:39,120 like, human int or open source intelligence gathering for people and things like that. 30 00:02:39,340 --> 00:02:44,320 And the thing is, is that some of it, there's a process, and some of it, there's not. I've 31 00:02:44,320 --> 00:02:48,440 seen a lot of different talks. I've seen a lot of different people over the years talk 32 00:02:48,440 --> 00:02:53,940 about things. And I'm really interested in feedback around a process. What I mean is 33 00:02:53,940 --> 00:02:59,320 not just a manual step process, but is it possible to basically break this down into 34 00:02:59,320 --> 00:03:03,980 a playbook or be able to do something where you can do this in a step-by-step process 35 00:03:03,980 --> 00:03:08,240 that can be automated to some degree. And I'm not talking, like, use tool one, tool 36 00:03:08,240 --> 00:03:12,320 two, tool three, tool four, et cetera. I'm talking be able to automate it, end to end, 37 00:03:12,460 --> 00:03:15,860 and then basically break up in pieces where you can't actually automate it. 38 00:03:17,280 --> 00:03:27,180 So, who in here knows much about data forensics? Anybody? Cool. Okay. So the reason why you 39 00:03:27,180 --> 00:03:32,740 want to use data forensics instant response tactics for open source intelligence is it 40 00:03:32,740 --> 00:03:36,520 allows you to understand and reduce your attack service. You can gain awareness of threat 41 00:03:36,520 --> 00:03:36,940 actors. 42 00:03:38,240 --> 00:03:39,600 Answer, answer, response to investigations. 43 00:03:40,260 --> 00:03:41,740 Now, are you doing this today? 44 00:03:41,880 --> 00:03:42,300 Just wondering. 45 00:03:42,840 --> 00:03:43,200 Okay. 46 00:03:43,380 --> 00:03:44,120 So that's what I said. 47 00:03:44,180 --> 00:03:46,620 Experts, you know, just, you know, go ahead and bounce out. 48 00:03:48,820 --> 00:03:49,900 Or you can just use it for fun. 49 00:03:50,920 --> 00:03:51,940 And everybody's seen this. 50 00:03:51,980 --> 00:03:52,820 Everybody's probably done this stuff. 51 00:03:53,340 --> 00:03:56,720 But in my case, it was, you know, like getting to know your CEO. 52 00:03:57,760 --> 00:03:59,400 And everybody's seen this kind of information. 53 00:04:01,520 --> 00:04:03,720 That's actually my CEO for the company I work for. 54 00:04:05,060 --> 00:04:10,440 And at the very last minute, I was told not to basically put his information out there, 55 00:04:10,500 --> 00:04:11,560 which is understandable. 56 00:04:12,260 --> 00:04:17,200 And a lot of other targets that I went to go after said the same thing. 57 00:04:18,980 --> 00:04:23,700 So the next thing is something that's kind of interesting to me. 58 00:04:23,800 --> 00:04:27,080 And I don't know how many of you think about this. 59 00:04:27,180 --> 00:04:31,260 But when it comes to pen testing, it's one thing. 60 00:04:31,320 --> 00:04:33,520 You go out and you start basically gathering. 61 00:04:33,720 --> 00:04:36,240 And reconnaissance, you start gathering intel around a particular target. 62 00:04:36,360 --> 00:04:42,180 And then after that, you start, you know, determining what kind of information you can use to exploit, et cetera, et cetera, et cetera. 63 00:04:43,000 --> 00:04:49,460 But for me, the question is, if you're in OSN land and you started doing, gathering information about an individual, 64 00:04:49,980 --> 00:04:55,340 and they were your friend or something like that, could you automate a way to respond to them and help them out? 65 00:04:55,900 --> 00:04:57,540 And that may sound kind of weird. 66 00:04:57,620 --> 00:05:01,920 But what I mean by that is to be able to say, hey, here's some information out there on you. 67 00:05:01,980 --> 00:05:03,080 You might want to check that out. 68 00:05:03,720 --> 00:05:11,060 And do that in a way that's, you know, basically do that in a way that allows them to kind of improve themselves or whatever, right? 69 00:05:12,900 --> 00:05:16,160 So for me, I want to just point up a quick thing. 70 00:05:16,260 --> 00:05:19,800 I want to compare the differences between attacking response and OSN. 71 00:05:20,180 --> 00:05:23,260 So how many of you are basically do pen testing? 72 00:05:24,560 --> 00:05:24,920 Okay. 73 00:05:25,000 --> 00:05:25,540 Just got a handful. 74 00:05:25,680 --> 00:05:27,720 How many of you are new to all of this? 75 00:05:28,960 --> 00:05:29,320 Okay. 76 00:05:29,400 --> 00:05:29,740 Cool. 77 00:05:29,900 --> 00:05:30,360 All right. 78 00:05:30,440 --> 00:05:30,980 Next slide. 79 00:05:32,980 --> 00:05:37,020 How many of you, incident response, you're pretty much the only person to raise your hand for that part? 80 00:05:37,240 --> 00:05:37,360 Okay. 81 00:05:38,820 --> 00:05:41,120 So you'll obviously rip a hole through this next slide. 82 00:05:43,200 --> 00:05:46,320 But basically, I kind of looked at it from a lot of different places. 83 00:05:46,340 --> 00:05:47,280 I've studied CEH. 84 00:05:47,280 --> 00:05:48,320 I've studied a bunch of different things. 85 00:05:48,480 --> 00:05:54,780 And I wanted to put this into a process that kind of made sense that also seems that, like, everybody breaks it down into. 86 00:05:55,960 --> 00:06:00,440 And so basically from an attacking side, you have planning and reconnaissance. 87 00:06:00,440 --> 00:06:04,700 Threat modeling and vulnerability analysis, exploitation, and then you process that information. 88 00:06:04,700 --> 00:06:08,780 You start to do lateral movement within a network, et cetera, et cetera, et cetera. 89 00:06:09,640 --> 00:06:11,300 You persist, and then you report. 90 00:06:11,660 --> 00:06:12,100 Okay. 91 00:06:12,140 --> 00:06:16,620 Now, any pen testing people can clarify that's kind of summarized, right? 92 00:06:17,080 --> 00:06:17,520 Okay. 93 00:06:18,460 --> 00:06:21,180 From a response standpoint, you do the same kind of thing. 94 00:06:21,340 --> 00:06:22,540 You start to plan or prepare. 95 00:06:23,440 --> 00:06:30,420 You identify and you contain, and then you remediate, and then you recover, and then you basically learn and disseminate that information out to the team. 96 00:06:30,440 --> 00:06:31,960 Does that sound about right? 97 00:06:32,060 --> 00:06:32,360 Just curious? 98 00:06:32,480 --> 00:06:32,860 Cool. 99 00:06:34,080 --> 00:06:36,340 And OSN is kind of like that, right? 100 00:06:37,180 --> 00:06:38,680 Plan, prepare, identify, and collect. 101 00:06:39,340 --> 00:06:40,200 Process the information. 102 00:06:40,440 --> 00:06:41,440 Do analysis on it. 103 00:06:43,740 --> 00:06:48,000 Determine how you're going to deal with the production of that information, who you're going to give it to. 104 00:06:49,120 --> 00:06:51,940 And, you know, learn and disseminate that information. 105 00:06:54,300 --> 00:06:57,040 But it seems like everything's a five-step process. 106 00:06:58,080 --> 00:06:59,280 What happened to 12 steps? 107 00:07:00,440 --> 00:07:01,760 Does anybody have a beer? 108 00:07:01,920 --> 00:07:03,780 I'm, like, really egging for one right now. 109 00:07:06,160 --> 00:07:10,140 So why use a data forensic incident response automation orchestration tool? 110 00:07:11,200 --> 00:07:12,780 Because it's built to gather evidence. 111 00:07:13,140 --> 00:07:16,780 If you've used any kind of DFIR tool, they're really built around that. 112 00:07:16,880 --> 00:07:17,640 It's case management. 113 00:07:17,840 --> 00:07:19,400 It's built around gathering evidence. 114 00:07:19,880 --> 00:07:21,080 Maltego does this, of course. 115 00:07:21,840 --> 00:07:22,940 And it does it pretty well. 116 00:07:23,180 --> 00:07:25,680 And the big guys like Palantir, I think, do that. 117 00:07:25,780 --> 00:07:30,420 But the other thing that DFIR tools do really well... 118 00:07:30,420 --> 00:07:32,300 ...is they can integrate with a ton of shit out of the box. 119 00:07:32,920 --> 00:07:34,420 That, to me, is really useful. 120 00:07:36,000 --> 00:07:40,880 Unfortunately, for my demo, you're not going to see quite much for that at the moment. 121 00:07:41,140 --> 00:07:43,480 But new tools can easily be added. 122 00:07:43,760 --> 00:07:46,380 You can pull data from one place to another, which is pretty cool. 123 00:07:46,500 --> 00:07:49,920 So you can ingest information into these new types of DFIR tools. 124 00:07:50,520 --> 00:07:53,940 And then you can push into other systems from one centralized place. 125 00:07:55,060 --> 00:07:59,620 A lot of the OSN tools, it's a lot about ingestion. 126 00:08:00,420 --> 00:08:03,760 But it's not a lot about going out and doing anything after the fact. 127 00:08:05,340 --> 00:08:06,380 And why else? 128 00:08:06,480 --> 00:08:08,120 Because we need to automate or die, right? 129 00:08:11,560 --> 00:08:12,900 There's no snake oil reason. 130 00:08:13,980 --> 00:08:14,380 Well... 131 00:08:16,760 --> 00:08:18,680 Because playbooks make it easy to automate. 132 00:08:19,440 --> 00:08:21,100 How many of you know what a playbook is? 133 00:08:22,640 --> 00:08:23,280 Okay, cool. 134 00:08:25,020 --> 00:08:29,600 So you don't know much about data forensics and its response, but you know a lot about playbooks. 135 00:08:30,480 --> 00:08:30,980 Hmm. 136 00:08:32,600 --> 00:08:33,100 Okay. 137 00:08:33,400 --> 00:08:36,920 Well, the next question it would be is... 138 00:08:38,600 --> 00:08:40,900 You've seen a lot of these DFIR tools then, right? 139 00:08:42,660 --> 00:08:43,160 So... 140 00:08:45,640 --> 00:08:46,800 Obviously, there's Demisto. 141 00:08:46,900 --> 00:08:47,760 That's who I work with. 142 00:08:49,060 --> 00:08:50,140 There's the Hive project. 143 00:08:50,320 --> 00:08:50,920 There's LogRhythm. 144 00:08:51,040 --> 00:08:52,580 The Hive project's also open source. 145 00:08:53,520 --> 00:08:56,500 Demisto's product line is partially open source. 146 00:08:56,660 --> 00:08:57,440 Their content's open source. 147 00:08:58,180 --> 00:08:58,960 There's Phantom. 148 00:08:59,120 --> 00:09:00,300 And they're, I believe... 149 00:09:00,420 --> 00:09:01,860 Some of their stuff's open source as well. 150 00:09:03,100 --> 00:09:09,960 There's Swimlane, Resolent, Simplify, CyberTourage, and Command, I think, just got acquired not too long ago by Rapid7. 151 00:09:10,520 --> 00:09:11,960 So that might be something to check out, too. 152 00:09:13,120 --> 00:09:15,740 All of those have automation frameworks built in. 153 00:09:16,080 --> 00:09:21,480 And most of them are in Python or JavaScript and allow you to kind of start gluing in all of these tools right in the frameworks. 154 00:09:21,660 --> 00:09:24,460 Or, excuse me, into their ecosystem and things like that. 155 00:09:27,040 --> 00:09:28,800 So, I have a question for everybody here. 156 00:09:28,940 --> 00:09:29,120 This... 157 00:09:29,120 --> 00:09:30,400 I'm trying to really make this a little bit more... 158 00:09:30,400 --> 00:09:30,720 More interactive. 159 00:09:30,900 --> 00:09:32,760 What is the standard of building a playbook? 160 00:09:32,900 --> 00:09:33,400 Does anybody here know? 161 00:09:35,980 --> 00:09:37,380 So, everybody's heard of playbooks. 162 00:09:37,500 --> 00:09:38,020 They've seen them. 163 00:09:38,180 --> 00:09:39,640 Everybody knows what a playbook is. 164 00:09:39,740 --> 00:09:43,040 But has anybody here heard of the standard? 165 00:09:44,760 --> 00:09:46,220 Well, I actually found one. 166 00:09:46,280 --> 00:09:47,080 There is a standard. 167 00:09:48,980 --> 00:09:50,920 The ICD standard says... 168 00:09:50,920 --> 00:09:52,960 And this is from, like, John Hopkins University or some shit. 169 00:09:54,220 --> 00:09:54,620 Oh. 170 00:09:56,320 --> 00:10:00,140 Has anybody in the room ever read, like, incident response policies? 171 00:10:01,460 --> 00:10:04,980 It's more legal-speak than it is actually what you need to do. 172 00:10:06,220 --> 00:10:08,560 And that's kind of what this standard says. 173 00:10:09,100 --> 00:10:11,460 And I'm not trying to diss on it or anything like that. 174 00:10:12,480 --> 00:10:13,760 Yes, I said diss. 175 00:10:13,780 --> 00:10:14,440 I'm that day and age. 176 00:10:15,040 --> 00:10:23,440 But basically, when I look at that, I was like, this is really academic for really explaining what a playbook does. 177 00:10:23,880 --> 00:10:27,560 Because it's really just a step-by-step process to glue shit together. 178 00:10:27,820 --> 00:10:28,120 Okay? 179 00:10:28,160 --> 00:10:28,680 That's it. 180 00:10:28,940 --> 00:10:30,240 So, the thing is... 181 00:10:30,240 --> 00:10:31,760 The thing is that when you have... 182 00:10:31,760 --> 00:10:32,900 Like, Maltego has transformations. 183 00:10:35,080 --> 00:10:39,080 But can you glue those together, you know, from end to end is what I'm asking here. 184 00:10:39,220 --> 00:10:41,440 Can you actually take Maltego transformations? 185 00:10:41,660 --> 00:10:44,680 Or can you take, like, Palantir? 186 00:10:44,740 --> 00:10:45,900 I've seen it. 187 00:10:45,940 --> 00:10:46,740 I've played with it. 188 00:10:46,780 --> 00:10:47,800 But I don't know it well enough to know. 189 00:10:47,860 --> 00:10:54,460 Can you glue, you know, tasks together from that and take the information and start to do things with it? 190 00:10:54,580 --> 00:10:56,220 Is that something that's possible? 191 00:10:56,420 --> 00:10:56,920 I don't know. 192 00:10:57,640 --> 00:10:58,780 So, that's kind of what I'm asking. 193 00:11:01,780 --> 00:11:04,400 So, this is an example of a playbook. 194 00:11:04,580 --> 00:11:05,560 And it's not... 195 00:11:05,560 --> 00:11:06,740 This is in a graphical form. 196 00:11:07,360 --> 00:11:08,620 You could write it down. 197 00:11:08,980 --> 00:11:11,500 An incident response plan should be written down. 198 00:11:11,820 --> 00:11:13,340 And you should have several of them. 199 00:11:15,040 --> 00:11:16,880 I've actually gone out and written some. 200 00:11:17,860 --> 00:11:18,460 Embarrassingly enough. 201 00:11:19,220 --> 00:11:24,080 And the thing is, is that some of those plans are not specific enough to what you really need to do. 202 00:11:24,480 --> 00:11:24,780 Okay? 203 00:11:26,340 --> 00:11:29,760 So, I mean, for example, how exhaustive are your incident response... 204 00:11:29,760 --> 00:11:30,220 Excuse me. 205 00:11:30,240 --> 00:11:31,560 Your incident response plans today? 206 00:11:31,940 --> 00:11:33,180 Are they pretty exhaustive? 207 00:11:33,200 --> 00:11:38,720 Are they book deep and they explain, okay, for example, if something happens, social media started going out, 208 00:11:38,840 --> 00:11:40,180 what you're supposed to do about that? 209 00:11:41,500 --> 00:11:44,040 Or do they just really say, well, contact Joe? 210 00:11:44,280 --> 00:11:45,300 Or contact Bob? 211 00:11:45,380 --> 00:11:46,180 Or contact Lacey? 212 00:11:46,260 --> 00:11:46,860 Or anything like that? 213 00:11:46,960 --> 00:11:50,000 Is that kind of what you hear or see? 214 00:11:50,920 --> 00:11:51,320 Anybody? 215 00:11:53,420 --> 00:11:53,820 Okay. 216 00:11:56,520 --> 00:11:59,900 Well, before we begin, and like I said, I've got some bugs. 217 00:12:00,240 --> 00:12:00,940 That's going on right now. 218 00:12:01,000 --> 00:12:01,760 I had to reboot a server. 219 00:12:01,960 --> 00:12:04,980 So I'm just going to show you kind of the process and the tool a little bit. 220 00:12:06,860 --> 00:12:14,860 And then what I will do after this is I'll make a video or I'll get a team of people to make me, you know, basically make a video of the process that I want to go through. 221 00:12:14,960 --> 00:12:26,520 And the other thing that I'm trying to do is really go back to the community and gain process information for different strategies that they would use for OSN gathering of information. 222 00:12:26,920 --> 00:12:27,240 Okay? 223 00:12:27,620 --> 00:12:28,620 That's kind of why I'm here. 224 00:12:28,740 --> 00:12:29,980 What I'm here to do is kind of explain. 225 00:12:29,980 --> 00:12:30,980 Okay, you have playbooks. 226 00:12:31,080 --> 00:12:31,940 Everybody understands them. 227 00:12:32,080 --> 00:12:33,860 Maybe I'm a noob and I just don't know. 228 00:12:34,300 --> 00:12:35,240 And that's certainly possible. 229 00:12:35,780 --> 00:12:42,840 But what I'd like to see is ways, a process to go through that says, okay, here's what you can do. 230 00:12:42,920 --> 00:12:47,420 And I want to build that out so that I can automate that from multiple different tools that are out there. 231 00:12:47,540 --> 00:12:50,440 And if you've seen, like, Intrigue. 232 00:12:51,160 --> 00:12:52,140 Intrigue is a great tool. 233 00:12:52,200 --> 00:12:55,640 It has a lot of different integrations. 234 00:12:55,960 --> 00:12:57,860 Maltego's got a lot of different integrations. 235 00:12:58,160 --> 00:12:59,820 But what I want to see is playbooks. 236 00:12:59,980 --> 00:13:02,340 It's on how to actually use those integrations. 237 00:13:03,180 --> 00:13:18,180 And for me, I have ideas, but I'm going to start pulling people on both sides, from the pen testing side, from the data forensics incident response community, and from the open source intelligence community, and start to actually gather information around those playbooks. 238 00:13:18,340 --> 00:13:29,280 Because to me, that allows you to automate things end to end, or at least to the point where a person gets information not just in one place, but is able to take action on it. 239 00:13:29,340 --> 00:13:29,960 I think that's something. 240 00:13:29,960 --> 00:13:30,940 I think that's something with OSN data. 241 00:13:31,120 --> 00:13:33,360 It's like, well, you create a report, and you just hand it to somebody. 242 00:13:33,960 --> 00:13:34,700 I don't know. 243 00:13:34,760 --> 00:13:35,520 That's kind of what I've seen. 244 00:13:37,500 --> 00:13:41,160 So before we get started, let's ask a couple basic questions. 245 00:13:41,320 --> 00:13:46,660 And the reason I said this is for noobs and stuff is because, for me, I've gone through a lot of online stuff. 246 00:13:46,760 --> 00:13:48,360 I've gone through a lot of reading and things like that. 247 00:13:48,480 --> 00:13:57,440 And I was like, okay, I need to kind of process this in a way that I can kind of break it down to my simple terms. 248 00:13:58,440 --> 00:13:59,440 I'm like Forrest Gump. 249 00:13:59,960 --> 00:14:00,100 Slow. 250 00:14:00,620 --> 00:14:03,100 So I have to break things down really slowly, right? 251 00:14:07,100 --> 00:14:07,820 So planning. 252 00:14:07,960 --> 00:14:12,640 The big thing is you want to start out and you want to ask the question of is, do we have a plan, purpose, or target? 253 00:14:12,740 --> 00:14:27,360 Now, out of all the talks I've seen in general and books I've read and things like that, there seems to be a lot of bouncing around when it comes to having a plan for the purpose of what you're trying to do with a target. 254 00:14:27,420 --> 00:14:29,880 Unless you have a mission or goal. 255 00:14:29,960 --> 00:14:31,640 Or what you're trying to do with the information. 256 00:14:32,660 --> 00:14:46,080 And so that, to me, is something that's like, okay, having an idea for what you're going to do with the information, I think, is much bigger than what you're trying to target or what the purpose is of what you're trying to target, if that makes any bit of sense. 257 00:14:49,340 --> 00:14:53,720 Then you want to identify what kind of information are we going to collect, like I said. 258 00:14:54,220 --> 00:14:55,660 What's the kind of information you want to go for? 259 00:14:58,420 --> 00:14:59,880 Is this ethical or legal? 260 00:14:59,960 --> 00:15:02,940 As you can see, I've got a really big flaw in my slide there. 261 00:15:05,700 --> 00:15:08,640 And how we're going to process the information and what tools. 262 00:15:11,960 --> 00:15:14,480 Who can collaborate and do analysis with you on it? 263 00:15:14,580 --> 00:15:26,080 And so this is a big piece of why I'm trying to show you this type of tool that does data forensics and answer response for OSN is because, has anybody here done OSN on CTF and things like that? 264 00:15:28,940 --> 00:15:29,380 Basically. 265 00:15:30,360 --> 00:15:32,440 How do you collaborate today, right now? 266 00:15:32,540 --> 00:15:37,900 Do you use any kind of tool right now to collaborate, like Slack, for the CTFs or anything like that? 267 00:15:38,560 --> 00:15:41,140 Okay, so if you use Slack, then this is kind of a quick demo, okay? 268 00:15:43,320 --> 00:15:44,440 How long do we have to investigate? 269 00:15:44,660 --> 00:15:46,360 Well, I have about five minutes, so I've got to hurry. 270 00:15:47,240 --> 00:15:48,940 And I'm going to show you a quick example demo, okay? 271 00:15:53,360 --> 00:15:55,960 So, this is the tool of the company I work for. 272 00:15:57,020 --> 00:15:57,940 It's called DEMISTO. 273 00:15:58,420 --> 00:15:59,940 And if you want a really fun project, you can go to DEMISTO.com. 274 00:15:59,940 --> 00:16:07,740 There's a little tiny QR code over there in the left-hand corner that would be kind of cool to take home and look at. 275 00:16:08,640 --> 00:16:14,560 It's a nice open source intelligence, you know, fun thing to do. 276 00:16:15,020 --> 00:16:22,580 Anyway, so the way this tool works is it has integrations and everything is pretty much command line driven or it's driven by playbooks. 277 00:16:23,140 --> 00:16:29,640 And a simple playbook, like I was trying to show, is, if I can get the load. 278 00:16:46,100 --> 00:16:46,460 And this code is going to be input. 279 00:16:46,460 --> 00:16:50,600 Well, basically, let me see if I can get any of these to load. 280 00:16:51,980 --> 00:16:57,940 On the outside, you see here, you have settings, automations, playbooks, indicators, reports, dashboards, jobs, incidents. 281 00:16:58,300 --> 00:16:59,820 And what ends up happening? 282 00:16:59,940 --> 00:17:02,620 And as you go through and you create a new incident, 283 00:17:02,880 --> 00:17:04,860 you start to associate it to a playbook. 284 00:17:05,100 --> 00:17:07,840 And from that point, then, what happens is 285 00:17:07,840 --> 00:17:11,820 it allows you to assign that incident to somebody, 286 00:17:11,940 --> 00:17:15,320 just like a data forensic incident response tool does today, 287 00:17:15,500 --> 00:17:17,080 allows you to assign a case to somebody, 288 00:17:17,180 --> 00:17:18,260 or like if it was a JIRA ticket, 289 00:17:18,440 --> 00:17:20,220 or if it was a different type of ticketing system 290 00:17:20,220 --> 00:17:21,280 or case management system. 291 00:17:22,820 --> 00:17:26,120 From that point, though, what's neat about this tool, 292 00:17:26,300 --> 00:17:27,700 it's not loading at the moment, 293 00:17:27,700 --> 00:17:32,340 but is that you can go and actually, from the incident, 294 00:17:32,520 --> 00:17:34,300 you can start to invite people in 295 00:17:34,300 --> 00:17:37,420 and collaborate on a goal or a mission 296 00:17:37,420 --> 00:17:39,200 or on a particular topic 297 00:17:39,200 --> 00:17:44,000 or the type of target that you're trying to go after. 298 00:17:47,080 --> 00:17:49,640 I'm sorry, I don't have a connection at the moment. 299 00:17:54,240 --> 00:17:55,920 Well, that's it, right? 300 00:17:56,040 --> 00:17:57,420 I mean, that's pretty much all I've got. 301 00:17:58,060 --> 00:17:59,640 So what I will tell you is this. 302 00:17:59,800 --> 00:18:01,280 If you want to check the tool out, 303 00:18:01,440 --> 00:18:03,520 you can go on demisto.com. 304 00:18:03,680 --> 00:18:04,360 It's free. 305 00:18:05,020 --> 00:18:05,900 It's downloadable. 306 00:18:05,980 --> 00:18:07,260 The content's open source. 307 00:18:08,280 --> 00:18:11,260 And from there, you can start to look at, 308 00:18:11,300 --> 00:18:13,320 there's a ton of videos out there online about this. 309 00:18:13,520 --> 00:18:15,660 And I'll put together a video that'll show 310 00:18:15,660 --> 00:18:17,300 actually a full demonstration end-to-end 311 00:18:17,300 --> 00:18:20,980 of how to use this for open source intelligence. 312 00:18:21,320 --> 00:18:22,400 Does that sound reasonable? 313 00:18:22,880 --> 00:18:25,780 Yeah, it's called demisto, D-E-M-I-S-T-O.com. 314 00:18:25,960 --> 00:18:27,140 We also have a community 315 00:18:27,140 --> 00:18:30,440 for about 1,400 different data forensics 316 00:18:30,440 --> 00:18:33,440 and incident response people today on Slack. 317 00:18:34,640 --> 00:18:37,600 And if anybody wants to connect with me afterwards, 318 00:18:37,760 --> 00:18:39,280 just let me know, and I'll get you a free copy 319 00:18:39,280 --> 00:18:40,420 and all that stuff and set up. 320 00:18:40,580 --> 00:18:42,100 But I do want to show a video of this, 321 00:18:42,220 --> 00:18:44,360 and I'm sorry that it's not, 322 00:18:44,440 --> 00:18:46,460 you know, I'm not able to connect right now at this moment. 323 00:18:47,680 --> 00:18:48,480 But that's it. 324 00:18:48,520 --> 00:18:48,980 That's all I have. 325 00:18:50,600 --> 00:18:51,320 Thank you. 326 00:18:51,340 --> 00:18:51,920 Thank you. 327 00:18:53,460 --> 00:18:53,820 Thank you. 328 00:18:55,720 --> 00:18:56,080 Thank you. 329 00:18:56,080 --> 00:18:56,280 Thank you. 330 00:18:56,740 --> 00:18:57,100 Thank you. 331 00:18:57,100 --> 00:18:57,120 Thank you. 332 00:18:57,140 --> 00:18:58,520 Wait for the package to come.