1 00:00:02,520 --> 00:00:06,359 Speaker 1: I'm Stacy Marie Ishmael, Managing editor of Crypto for Bloomberg News, 2 00:00:06,360 --> 00:00:09,760 Speaker 1: and this is Bloomberg Crypto at Daily Bloomberg. I heard podcast. 3 00:00:10,039 --> 00:00:25,680 Speaker 1: It's Tuesday, August sixteen. In late July, allegations surface that 4 00:00:25,800 --> 00:00:29,760 Speaker 1: some North Koreans were plagiarizing online resumes to try to 5 00:00:29,800 --> 00:00:35,000 Speaker 1: trick companies, including crypto companies, into hiring them. It was 6 00:00:35,040 --> 00:00:37,080 Speaker 1: all part of a broader effort to raise money from 7 00:00:37,120 --> 00:00:40,519 Speaker 1: North Korea's government weapons program and an attempt to help 8 00:00:40,560 --> 00:00:44,680 Speaker 1: the authoritarian nation evade global sanctions. But how did North 9 00:00:44,720 --> 00:00:48,080 Speaker 1: Korea get so good at tricking crypto employers? And what 10 00:00:48,159 --> 00:00:50,599 Speaker 1: does all of this mean for the security of these companies? 11 00:00:51,159 --> 00:00:54,720 Speaker 1: This is geopolitics, and there's a lot of ugliness to this, 12 00:00:54,840 --> 00:00:58,279 Speaker 1: But some of these tactics are really innovative. I mean 13 00:00:58,320 --> 00:01:01,440 Speaker 1: they're very impressive. Bloom of reports to Jeff Stone joins 14 00:01:01,480 --> 00:01:08,600 Speaker 1: me today to explain. Jeff, what a pleasure. Thank you 15 00:01:08,640 --> 00:01:10,240 Speaker 1: so much for being here, Thank you for having me. 16 00:01:10,360 --> 00:01:12,440 Speaker 1: So what is it you do at Bloomberg? I read 17 00:01:12,440 --> 00:01:16,280 Speaker 1: about cybersecurity, which is a busy task. It's a collision 18 00:01:16,319 --> 00:01:20,360 Speaker 1: of crime and espionage and business and money and theft 19 00:01:20,400 --> 00:01:23,520 Speaker 1: it's endlessly fascinating. That sounds fun even writing a lot 20 00:01:23,520 --> 00:01:26,360 Speaker 1: about North Korea and hackers. What are North Korean hackers 21 00:01:26,440 --> 00:01:29,600 Speaker 1: up to in crypto? They are similarly busy in crypto. 22 00:01:29,680 --> 00:01:32,200 Speaker 1: According to the United States, that is, North kreen hackers 23 00:01:32,280 --> 00:01:37,319 Speaker 1: increasingly are focusing on on cryptocurrency services as a means 24 00:01:37,440 --> 00:01:41,160 Speaker 1: of generating money on behalf of the government of Kim 25 00:01:41,240 --> 00:01:43,720 Speaker 1: Jong Un. According to the US government, that is and 26 00:01:43,880 --> 00:01:47,880 Speaker 1: um independent cybersecurity researchers. That means they are looking at 27 00:01:47,920 --> 00:01:55,280 Speaker 1: everything from hacking exchanges. They're also impersonating people. They are 28 00:01:55,280 --> 00:01:59,040 Speaker 1: sending fake jobless things and pretending to be people who 29 00:01:59,080 --> 00:02:02,040 Speaker 1: they aren't in or to get as much information as 30 00:02:02,040 --> 00:02:04,800 Speaker 1: they possibly can about the world of virtual currency. So 31 00:02:05,440 --> 00:02:09,160 Speaker 1: I'm a North Korea hocko. I look up somebody's linked 32 00:02:09,200 --> 00:02:11,560 Speaker 1: in profile. Thought person seems like they have a fancy 33 00:02:11,639 --> 00:02:14,080 Speaker 1: job at a fancy crypto company. I steal some of 34 00:02:14,080 --> 00:02:16,600 Speaker 1: their credentials. I present them as my own. I try 35 00:02:16,639 --> 00:02:20,360 Speaker 1: to interview at name and exchange. In the process of 36 00:02:20,360 --> 00:02:21,880 Speaker 1: that interview. What am I doing. I'm trying to get 37 00:02:21,919 --> 00:02:24,600 Speaker 1: information out of them. It's kind of like, you know, spying, 38 00:02:25,000 --> 00:02:27,200 Speaker 1: or is it something else? You're doing two things. I 39 00:02:27,200 --> 00:02:29,359 Speaker 1: think you're you are trying to get as much information 40 00:02:29,360 --> 00:02:31,440 Speaker 1: as you possibly can from the person that you're speaking with, 41 00:02:31,480 --> 00:02:33,560 Speaker 1: because that just might help you if you don't get 42 00:02:33,560 --> 00:02:35,720 Speaker 1: the job. You also are trying to get the job. 43 00:02:36,360 --> 00:02:39,200 Speaker 1: According to the researchers that we have spoken with, they 44 00:02:39,200 --> 00:02:45,440 Speaker 1: have observed freelance contractors if you will secure employment at 45 00:02:45,600 --> 00:02:48,639 Speaker 1: some of these services. We don't know which services candidly, 46 00:02:49,120 --> 00:02:51,400 Speaker 1: but um, if they are involved in some of these 47 00:02:51,720 --> 00:02:55,560 Speaker 1: bridge projects, for instance, or the future of Ethereum, that 48 00:02:55,760 --> 00:02:58,440 Speaker 1: gives them not only a salary, which according to one 49 00:02:58,919 --> 00:03:03,640 Speaker 1: recent US governmental alert, could be as much as dollars 50 00:03:02,919 --> 00:03:07,680 Speaker 1: crypto Paz, and also it also does bring the espionage angle, 51 00:03:07,680 --> 00:03:09,840 Speaker 1: as you just alluded to, like, yeah, we can kind 52 00:03:09,840 --> 00:03:13,080 Speaker 1: of share this information in our country and use this 53 00:03:13,160 --> 00:03:15,200 Speaker 1: to kind of get around some of these sanctions. Right, 54 00:03:15,240 --> 00:03:17,320 Speaker 1: So I'm not only interviewing because I want to get 55 00:03:17,320 --> 00:03:19,240 Speaker 1: stuff out of my interview. I'm interviewing because, as you say, 56 00:03:19,280 --> 00:03:21,040 Speaker 1: I'm actually trying to work there and find even more 57 00:03:21,040 --> 00:03:22,880 Speaker 1: stuff outs. Right, And if you don't get the job 58 00:03:23,240 --> 00:03:25,400 Speaker 1: or if you get fired, it's probably not the end 59 00:03:25,400 --> 00:03:30,040 Speaker 1: of the world, because you're you're you're already employed. Yeah, right, 60 00:03:30,720 --> 00:03:35,240 Speaker 1: wild Now. So North Korea, when did they first start 61 00:03:35,400 --> 00:03:39,160 Speaker 1: realizing the kind of crypto could be a meaningful revenue 62 00:03:39,200 --> 00:03:42,160 Speaker 1: generator for them. It's difficult to peg that to a 63 00:03:42,240 --> 00:03:45,240 Speaker 1: specific date, but some of the conversations that we've had 64 00:03:45,600 --> 00:03:49,000 Speaker 1: indicate this would have happened probably four or five six 65 00:03:49,120 --> 00:03:52,520 Speaker 1: years ago. You might remember the Bangladesh Bank heist um 66 00:03:52,560 --> 00:03:56,200 Speaker 1: there was a number of financial, big financial hacks. They 67 00:03:56,200 --> 00:03:58,600 Speaker 1: tried to steal a billion dollars from the Bangladesh Bank 68 00:03:59,200 --> 00:04:03,680 Speaker 1: um central Bank via the Swift network. Bangladesh, the central bank, 69 00:04:03,720 --> 00:04:08,000 Speaker 1: which is pretty vulnerable to a cyber attack, has been attacked. 70 00:04:08,520 --> 00:04:10,800 Speaker 1: It is a murky story, and it's a murky story 71 00:04:10,800 --> 00:04:14,920 Speaker 1: about vulnerability, and it's about cyber Two sort of transactions. 72 00:04:15,000 --> 00:04:18,960 Speaker 1: The first one was about eighty one million U S dollars. 73 00:04:19,480 --> 00:04:24,400 Speaker 1: There was another attempted transaction nearly a billion dollars. People 74 00:04:24,480 --> 00:04:27,159 Speaker 1: look at this and I think this is very, very shady. Indeed, 75 00:04:28,480 --> 00:04:30,560 Speaker 1: that was kind of a big watershed moment in the 76 00:04:30,600 --> 00:04:33,760 Speaker 1: world of financial security. A lot of banks started to 77 00:04:33,839 --> 00:04:36,280 Speaker 1: kind of improve the way that they were verifying that 78 00:04:36,400 --> 00:04:39,159 Speaker 1: users are who they say they are, so right around 79 00:04:39,200 --> 00:04:42,479 Speaker 1: that time is when cryptocurrency started to become more real. 80 00:04:42,800 --> 00:04:46,320 Speaker 1: Last year, we know according to analysis, for instance, UM, 81 00:04:46,400 --> 00:04:48,720 Speaker 1: some of these North Korean hackers were involved in like 82 00:04:48,839 --> 00:04:53,200 Speaker 1: seven hacks. We've already seen that, you know, significantly more 83 00:04:53,320 --> 00:04:57,080 Speaker 1: and raising more money in the first half, so you know, 84 00:04:57,240 --> 00:04:59,320 Speaker 1: you say, there there is even more money in this year, 85 00:04:59,360 --> 00:05:01,640 Speaker 1: Like what are the sums that we're talking about? According 86 00:05:01,640 --> 00:05:05,000 Speaker 1: to public charges, at least the Lazarus Group, which is 87 00:05:05,400 --> 00:05:08,919 Speaker 1: North Korea's state sponsored hacking organization, took as much as 88 00:05:08,960 --> 00:05:12,080 Speaker 1: six hundred million dollars in the hack on Xi Infinity 89 00:05:12,120 --> 00:05:16,359 Speaker 1: and March. That's already significantly more than they are accused 90 00:05:16,360 --> 00:05:19,880 Speaker 1: of stealing last year, which was four hundred million dollars UM, 91 00:05:19,920 --> 00:05:23,560 Speaker 1: and there have only been more incidents since then. The 92 00:05:23,600 --> 00:05:27,279 Speaker 1: blockchain company Harmony said in June attacker stole an additional 93 00:05:27,360 --> 00:05:31,279 Speaker 1: hundred million dollars and um, there's Nomad breach, which is 94 00:05:31,440 --> 00:05:35,200 Speaker 1: still an investigation, but attackers stole a million from bridge 95 00:05:35,240 --> 00:05:38,640 Speaker 1: protocol tool there. So again it's hard to pin it 96 00:05:38,680 --> 00:05:41,680 Speaker 1: down to its specific figure, but it's it's significantly we've 97 00:05:41,720 --> 00:05:43,440 Speaker 1: seen that's that's a lot of money, and all of 98 00:05:43,480 --> 00:05:45,279 Speaker 1: those are hacks that are big enough for you know, 99 00:05:45,360 --> 00:05:47,400 Speaker 1: us to cover them here at Bloomberg. So there's certainly 100 00:05:47,400 --> 00:05:50,280 Speaker 1: things that we're paying attention to. Well, what I'm getting 101 00:05:50,279 --> 00:05:51,960 Speaker 1: from you is it sounds like the North Korean hackers 102 00:05:51,960 --> 00:05:54,080 Speaker 1: are good at their jobs. Sure, let's talk about the 103 00:05:54,080 --> 00:05:56,120 Speaker 1: people who seem to need to be better at their jobs. Like, 104 00:05:56,200 --> 00:05:59,920 Speaker 1: I'm a recruiter. Why am I getting spoofed by somebody 105 00:06:00,000 --> 00:06:02,000 Speaker 1: with a fake resume? Like? What's going on? It's hard 106 00:06:02,040 --> 00:06:04,800 Speaker 1: to find people? Just you know, this is not a 107 00:06:04,800 --> 00:06:06,960 Speaker 1: problem that's limited to crypto. We know this is happening 108 00:06:06,960 --> 00:06:10,440 Speaker 1: in other industries, the technology industry, software development, but crypto 109 00:06:10,520 --> 00:06:13,839 Speaker 1: specifically is really being targeted. I think that it's also 110 00:06:14,600 --> 00:06:18,800 Speaker 1: as they are trying to find the right people. Um, 111 00:06:18,880 --> 00:06:22,440 Speaker 1: you do have to take steps to be more flexible 112 00:06:22,480 --> 00:06:25,440 Speaker 1: in terms of allowing remote work for instance. Or I 113 00:06:25,480 --> 00:06:27,719 Speaker 1: was gonna say, like, are these folks flying from North 114 00:06:27,800 --> 00:06:30,440 Speaker 1: Korea to the US. Not that we're aware of, but 115 00:06:30,880 --> 00:06:33,520 Speaker 1: you know, there is a small number of people who 116 00:06:33,720 --> 00:06:37,320 Speaker 1: have these skills, as you know, and um, as they 117 00:06:37,440 --> 00:06:39,240 Speaker 1: as they try to find the right people, you kind 118 00:06:39,240 --> 00:06:41,880 Speaker 1: of need to make certain allowances. Maybe someone doesn't sound 119 00:06:41,920 --> 00:06:44,359 Speaker 1: quite right on the phone, but Hey, they have this 120 00:06:44,360 --> 00:06:46,480 Speaker 1: this skill and they're willing to take this salary for 121 00:06:47,120 --> 00:06:49,000 Speaker 1: um X number of dollars, so we can't find anybody 122 00:06:49,000 --> 00:06:54,120 Speaker 1: else to do it. So Okay, I'm a recruiter. I'm stressed, 123 00:06:54,160 --> 00:06:56,880 Speaker 1: I'm busy. I have some CEO being like hire more people. 124 00:06:56,920 --> 00:07:01,719 Speaker 1: I'm hiring more people. Fine, humans make mistakes. But the 125 00:07:01,800 --> 00:07:04,400 Speaker 1: thing that seems bigger to me is the fact that 126 00:07:04,440 --> 00:07:06,880 Speaker 1: these as you describe them, crypto bridges, which you can 127 00:07:06,920 --> 00:07:09,239 Speaker 1: think of as like protocols that let you move crypto 128 00:07:09,320 --> 00:07:11,720 Speaker 1: from one thing to another thing, and you know, a 129 00:07:11,800 --> 00:07:14,840 Speaker 1: highly simplified version of what's going on, these things get 130 00:07:14,880 --> 00:07:19,560 Speaker 1: hacked a lot for a lot of money, fairly frequently. 131 00:07:20,200 --> 00:07:22,400 Speaker 1: And that's before you get to the other like completely 132 00:07:22,480 --> 00:07:26,640 Speaker 1: run of the mill scams like fishing or spoofing. As 133 00:07:26,680 --> 00:07:30,800 Speaker 1: an as an industry, is crypto getting better at its 134 00:07:30,800 --> 00:07:34,080 Speaker 1: security practices, From like your perspective of someone who's covered 135 00:07:34,120 --> 00:07:39,160 Speaker 1: this more broadly, from my perspective, it is not. Candidly. 136 00:07:40,160 --> 00:07:42,880 Speaker 1: We talked about the Bangladesh bank hast a few years ago, 137 00:07:43,000 --> 00:07:45,080 Speaker 1: there was a number of big financial hacks. I would 138 00:07:45,080 --> 00:07:48,640 Speaker 1: expect personally this first six months of this year to 139 00:07:49,040 --> 00:07:52,240 Speaker 1: really be kind of you know, no industry can stand 140 00:07:52,280 --> 00:07:56,280 Speaker 1: to lose x number billion dollars a year. It's it's embarrassing. 141 00:07:56,320 --> 00:07:58,440 Speaker 1: It creates you know, there's the issues that have to 142 00:07:58,480 --> 00:08:01,400 Speaker 1: do with trust, which obviously so much of um the 143 00:08:01,520 --> 00:08:04,600 Speaker 1: root of this industry. So to lose so much money 144 00:08:04,680 --> 00:08:07,120 Speaker 1: so quickly, we know that real people are are really 145 00:08:07,120 --> 00:08:11,720 Speaker 1: losing significant amount of cash. And we're we're hearing candidly 146 00:08:11,760 --> 00:08:14,200 Speaker 1: from people who are trying to get more into crypto 147 00:08:14,280 --> 00:08:17,240 Speaker 1: and see it as a investment opportunity and something cool 148 00:08:17,280 --> 00:08:19,400 Speaker 1: and new and interesting to think about. And it's hard 149 00:08:19,440 --> 00:08:23,200 Speaker 1: to know the difference between scams and real services because 150 00:08:23,640 --> 00:08:26,520 Speaker 1: the names and you know, it's it's just really scary 151 00:08:26,560 --> 00:08:30,200 Speaker 1: to hear about these massive dollar figures. Yeah, and this 152 00:08:30,280 --> 00:08:32,160 Speaker 1: is this is an industry that loves to say, you know, 153 00:08:32,240 --> 00:08:34,880 Speaker 1: do your own research, but it sounds like even the 154 00:08:34,920 --> 00:08:37,360 Speaker 1: people who are doing their research are still getting into trouble. 155 00:08:37,640 --> 00:08:39,640 Speaker 1: Is there is there kind of a degree of sophistication 156 00:08:39,679 --> 00:08:42,240 Speaker 1: that's being deployed against these companies or is it you know, 157 00:08:42,440 --> 00:08:44,640 Speaker 1: much more run of the mill. It is it is 158 00:08:44,720 --> 00:08:47,280 Speaker 1: as run of the mill as a typical email scam 159 00:08:47,320 --> 00:08:49,480 Speaker 1: that you might have seen against a bank um a 160 00:08:49,480 --> 00:08:52,880 Speaker 1: few years ago. We previously have have written about some 161 00:08:52,920 --> 00:08:57,760 Speaker 1: instances where these crypto scammers were hijacked Twitter accounts for instance. 162 00:08:58,480 --> 00:09:00,800 Speaker 1: Those Twitter accounts will be off to be verified. They 163 00:09:00,880 --> 00:09:03,280 Speaker 1: belong to real people and often like heads of state, 164 00:09:03,800 --> 00:09:07,640 Speaker 1: you know, very specific people on the internet. Yet great example, 165 00:09:07,679 --> 00:09:11,439 Speaker 1: they are soliciting donations. They are raising a ton of 166 00:09:11,480 --> 00:09:13,480 Speaker 1: money in a very short amount of time, even before 167 00:09:13,480 --> 00:09:16,600 Speaker 1: those crypto scams are removed from Twitter. So you know, 168 00:09:16,679 --> 00:09:19,000 Speaker 1: I think there's some board a activity earlier this year 169 00:09:19,000 --> 00:09:21,640 Speaker 1: that was fraudulent, or yeah, the board of Instagram got 170 00:09:21,640 --> 00:09:24,520 Speaker 1: hacked because of you know, probably like social engineering. Somebody 171 00:09:24,520 --> 00:09:26,120 Speaker 1: clicked on a link they shouldn't have clicked on. Social 172 00:09:26,160 --> 00:09:29,679 Speaker 1: engineering is not complicated stuff. It's it's sending a fake 173 00:09:29,760 --> 00:09:32,640 Speaker 1: text message that looks real that tricks the wrong person 174 00:09:32,679 --> 00:09:34,880 Speaker 1: into providing their user name password. You only need to 175 00:09:34,920 --> 00:09:37,040 Speaker 1: do it successfully once in order to make a lot 176 00:09:37,040 --> 00:09:38,760 Speaker 1: of money. So you know, as an example of that, 177 00:09:38,800 --> 00:09:41,880 Speaker 1: I get constant text messages like pretending to be this 178 00:09:42,000 --> 00:09:43,839 Speaker 1: is chased and you need to change your password, and 179 00:09:43,880 --> 00:09:46,120 Speaker 1: here's this really skeptical looking link that you should click 180 00:09:46,160 --> 00:09:47,840 Speaker 1: on and give us all your information. But it can 181 00:09:47,880 --> 00:09:51,160 Speaker 1: also be you know, somebody calling someone up and saying, hey, 182 00:09:51,240 --> 00:09:54,120 Speaker 1: I work here and I've locked myself out of my password? 183 00:09:54,160 --> 00:09:56,800 Speaker 1: Can you help me reset it? That seems to happen. 184 00:09:57,080 --> 00:10:00,120 Speaker 1: We've also you all have also been reporting on things 185 00:10:00,160 --> 00:10:04,320 Speaker 1: sim swapping, which sounds fun like, what does that mean? Exactly? Well, 186 00:10:04,360 --> 00:10:08,760 Speaker 1: sim swopping is endlessly fascinating. Similarly broadly defined um it 187 00:10:08,880 --> 00:10:13,240 Speaker 1: involves you losing control of your phone number. So if 188 00:10:13,320 --> 00:10:16,440 Speaker 1: you have your forgot passwords set up so that if 189 00:10:16,480 --> 00:10:19,640 Speaker 1: you can't remember your credentials, it will send a text. 190 00:10:19,800 --> 00:10:22,240 Speaker 1: It will send a text to your phone. If someone 191 00:10:22,320 --> 00:10:26,880 Speaker 1: identifies you as a particularly valuable target, they will call 192 00:10:27,000 --> 00:10:29,920 Speaker 1: the phone company. There have been public charges, for instance, 193 00:10:30,000 --> 00:10:34,240 Speaker 1: of crypto scammers or sim swappers, I should say bribing 194 00:10:34,559 --> 00:10:39,000 Speaker 1: customer service employees at cell providers. A T T had 195 00:10:39,000 --> 00:10:40,560 Speaker 1: a major problem with this a few years ago. There 196 00:10:40,559 --> 00:10:42,199 Speaker 1: have been a number of indictments against former A T 197 00:10:42,360 --> 00:10:44,760 Speaker 1: T employees. They're not paid a lot of money when 198 00:10:44,760 --> 00:10:46,960 Speaker 1: they're working in a retail store. It is as simple 199 00:10:47,080 --> 00:10:51,439 Speaker 1: as bribing a retail employee to m make this change 200 00:10:51,480 --> 00:10:54,560 Speaker 1: to someone's phone account. You take over their number. You 201 00:10:54,600 --> 00:10:56,640 Speaker 1: then have access to their best words. So anybody who's 202 00:10:56,679 --> 00:10:59,920 Speaker 1: texting me, whether that is you know, my Gmail rees 203 00:11:00,040 --> 00:11:03,280 Speaker 1: set or like my friends in the group text, that's 204 00:11:03,320 --> 00:11:06,000 Speaker 1: all going to somebody else's phone. It's that's correct. You 205 00:11:06,040 --> 00:11:07,880 Speaker 1: can access your phone at all, you can't access any 206 00:11:07,880 --> 00:11:10,080 Speaker 1: of your apps or your accounts. I should say that's 207 00:11:10,080 --> 00:11:12,840 Speaker 1: not a problem with crypto necessarily, it's a problem with 208 00:11:12,880 --> 00:11:17,000 Speaker 1: the way that users are authenticated typically in the United States, 209 00:11:17,080 --> 00:11:19,719 Speaker 1: is not a problem as much elsewhere, but the way 210 00:11:19,720 --> 00:11:23,160 Speaker 1: that our phone numbers have become social security I was 211 00:11:23,160 --> 00:11:25,400 Speaker 1: going to say the same thing, they are super important, 212 00:11:25,440 --> 00:11:27,320 Speaker 1: and that that is a real vulnerability that people are 213 00:11:27,360 --> 00:11:29,840 Speaker 1: learning to exploit and make a lot of money rapidly. 214 00:11:30,520 --> 00:11:32,560 Speaker 1: We'll be right back with more from Bloomboog Reports at 215 00:11:32,600 --> 00:11:43,920 Speaker 1: Jeffstone on the threat of North Korea and crypto. Is 216 00:11:43,960 --> 00:11:47,640 Speaker 1: there anything that has proven effective against these crypto hackos 217 00:11:47,640 --> 00:11:50,920 Speaker 1: and scammas, especially the North Korean groups. The problem with 218 00:11:51,120 --> 00:11:54,600 Speaker 1: trying to stop some of these attacks in these campaigns 219 00:11:54,679 --> 00:11:59,520 Speaker 1: is they are developing as quickly as this technology. Some 220 00:11:59,559 --> 00:12:02,760 Speaker 1: of the kind stations that we had recently with folks 221 00:12:02,920 --> 00:12:06,679 Speaker 1: from mandy It, for instance, indicated that no longer are 222 00:12:06,720 --> 00:12:11,040 Speaker 1: these hackers just targeting end users. They're no longer just 223 00:12:11,160 --> 00:12:14,880 Speaker 1: targeting the exchanges. They are now trying to get jobs 224 00:12:14,880 --> 00:12:18,360 Speaker 1: with these bridge services, for instance, and get an edge 225 00:12:18,400 --> 00:12:21,160 Speaker 1: into um some of the changes to Ethereum that might 226 00:12:21,160 --> 00:12:23,960 Speaker 1: be coming up. So I don't think there is any 227 00:12:24,040 --> 00:12:27,240 Speaker 1: silver bullet to solving these issues. It's just a matter 228 00:12:27,240 --> 00:12:31,839 Speaker 1: of constant diligence and really I think adopting the mentality 229 00:12:31,880 --> 00:12:35,600 Speaker 1: that you are vulnerable and people are trying to get 230 00:12:35,640 --> 00:12:38,080 Speaker 1: in there in ways that maybe you didn't expect. I 231 00:12:38,080 --> 00:12:41,120 Speaker 1: know that's not super helpful, but it's what we're seeing. Well. 232 00:12:41,200 --> 00:12:43,880 Speaker 1: Certainly one of the other things that we're starting to 233 00:12:43,960 --> 00:12:47,720 Speaker 1: see is that the US government is really cracking down, 234 00:12:48,400 --> 00:12:52,920 Speaker 1: you know the recently the U. S. Treasury Department issued 235 00:12:53,400 --> 00:12:57,640 Speaker 1: sanctions on something called a crypto mixer. And if if 236 00:12:57,640 --> 00:13:00,320 Speaker 1: you think about what a crypto mixer is, it's a egine. 237 00:13:00,360 --> 00:13:03,079 Speaker 1: You have, you know, some bitcoins, some Ethereum, some she 238 00:13:03,240 --> 00:13:06,120 Speaker 1: but you knew some doge and you want to, shall 239 00:13:06,160 --> 00:13:10,360 Speaker 1: we say, obscure the origin of those various bits of 240 00:13:10,480 --> 00:13:12,480 Speaker 1: currency and where you got them from. You would put 241 00:13:12,520 --> 00:13:17,640 Speaker 1: them into a mixer, which effectively like anonymizes those transactions 242 00:13:17,640 --> 00:13:20,000 Speaker 1: and spits out something that's a little bit harder to trace. 243 00:13:20,400 --> 00:13:22,920 Speaker 1: You can imagine that services like that might be very 244 00:13:22,960 --> 00:13:28,280 Speaker 1: attractive to say, North Korean hackers, And so what what 245 00:13:28,280 --> 00:13:30,200 Speaker 1: what is the U. S Treasury Department been trying to 246 00:13:30,200 --> 00:13:33,640 Speaker 1: do with these services? They're trying to stop North Korean 247 00:13:33,679 --> 00:13:36,520 Speaker 1: hackers from using them in whatever way they that they can. 248 00:13:37,080 --> 00:13:39,760 Speaker 1: What's particularly interesting about this is the way that these 249 00:13:39,800 --> 00:13:43,000 Speaker 1: mixing services have become kind of an extension not in 250 00:13:43,080 --> 00:13:45,280 Speaker 1: every case, in some cases, according to the US government, 251 00:13:45,280 --> 00:13:48,800 Speaker 1: though they have become an extension of this larger UM 252 00:13:48,960 --> 00:13:53,240 Speaker 1: cybercrime issue. You know, we we've saw as recently as 253 00:13:53,440 --> 00:13:58,200 Speaker 1: as earlier this year allegations that a different mixing service 254 00:13:58,280 --> 00:14:01,959 Speaker 1: was used, particularly for ransomwares. So, um, it's not only 255 00:14:02,040 --> 00:14:04,760 Speaker 1: this kind of large scale crypto AFT, it's when something 256 00:14:04,840 --> 00:14:08,120 Speaker 1: is taken via extortion, they can you know, kind of 257 00:14:08,320 --> 00:14:11,199 Speaker 1: run it through some of these UM mixing services to 258 00:14:11,280 --> 00:14:13,520 Speaker 1: kind of hide their activity in a more effective way. 259 00:14:13,559 --> 00:14:15,160 Speaker 1: And of course the goal of that is to make 260 00:14:15,200 --> 00:14:17,439 Speaker 1: it harder to trace those funds and ever get them 261 00:14:17,440 --> 00:14:19,560 Speaker 1: back for the people who have been scammed have to 262 00:14:19,640 --> 00:14:23,360 Speaker 1: extort it. Yeah, like you said, pretty much an arms race. 263 00:14:23,520 --> 00:14:25,520 Speaker 1: It is very much as an arms race. It's very 264 00:14:25,560 --> 00:14:27,600 Speaker 1: interesting in the U. S. Government. Look, I don't think 265 00:14:27,640 --> 00:14:30,040 Speaker 1: a few years ago, UM, I'll speak for myself, I 266 00:14:30,080 --> 00:14:32,960 Speaker 1: didn't expect the United States to move as quickly as 267 00:14:33,000 --> 00:14:35,440 Speaker 1: they have in terms of trying to combat some of 268 00:14:35,440 --> 00:14:39,000 Speaker 1: this stuff. We've seen some really big seizures over the 269 00:14:39,000 --> 00:14:42,560 Speaker 1: past year or so that UM not long ago would 270 00:14:42,560 --> 00:14:45,600 Speaker 1: have been obviously significantly more difficult. We know they're trying 271 00:14:45,600 --> 00:14:49,760 Speaker 1: to staff up very rapidly. Is there anything else that 272 00:14:49,800 --> 00:14:53,920 Speaker 1: has surprised you other than perhaps the size and frequency 273 00:14:53,920 --> 00:14:57,120 Speaker 1: of these hacks, like you, as a reporter in cybersecurity, 274 00:14:57,160 --> 00:14:59,400 Speaker 1: suddenly now having to get up to speed on what 275 00:14:59,440 --> 00:15:03,000 Speaker 1: a bridge is and what it makes. Yes, that has 276 00:15:03,040 --> 00:15:05,280 Speaker 1: been that. Thank you for pointing that out. That's one's 277 00:15:05,320 --> 00:15:07,840 Speaker 1: extremely surprising to me. I didn't expect that. But the 278 00:15:07,880 --> 00:15:13,200 Speaker 1: way that these suspected North Korean hackers are attuned to 279 00:15:13,480 --> 00:15:17,720 Speaker 1: the culture of not only Western culture and the US, 280 00:15:17,760 --> 00:15:21,040 Speaker 1: but really like Silicon Valley, there was there was research 281 00:15:21,080 --> 00:15:25,600 Speaker 1: that came out from Google UM not long ago indicating 282 00:15:25,640 --> 00:15:28,160 Speaker 1: that that this group, the Lazarus group, this is the 283 00:15:28,200 --> 00:15:31,160 Speaker 1: same group that carried out the Bangladesh bank heist. The 284 00:15:31,200 --> 00:15:34,120 Speaker 1: same group that targeted Sony Pictures years ago and released 285 00:15:34,120 --> 00:15:38,080 Speaker 1: all of those emails and um inspired a condemnation from 286 00:15:38,480 --> 00:15:42,800 Speaker 1: former President Obama. The same group is now like creating 287 00:15:42,840 --> 00:15:46,560 Speaker 1: fake versions of Indeed dot com creating fake versions of 288 00:15:46,600 --> 00:15:50,360 Speaker 1: a Disney careers page, and they're using those in really 289 00:15:51,000 --> 00:15:54,400 Speaker 1: targeted espionage operations to get a little bit of information 290 00:15:54,840 --> 00:15:59,320 Speaker 1: from a very small, specific set of targets and it works. 291 00:15:59,560 --> 00:16:03,320 Speaker 1: So is really um, you know, this is crime, and 292 00:16:03,360 --> 00:16:06,320 Speaker 1: this is this is geopolitics, and there's a lot of 293 00:16:06,400 --> 00:16:10,240 Speaker 1: ugliness to this and obviously the North Korean government being 294 00:16:10,280 --> 00:16:14,080 Speaker 1: what it is, but some of these tactics are really innovative. 295 00:16:14,120 --> 00:16:17,440 Speaker 1: I mean they're very impressive and very there. They are surprising. 296 00:16:17,600 --> 00:16:20,720 Speaker 1: No wonder they're get hired by crypto companies. Yeah right, 297 00:16:22,840 --> 00:16:25,720 Speaker 1: it's kind of joke. That's a true story. Well, thank 298 00:16:25,760 --> 00:16:27,080 Speaker 1: you so much for being on the podcast. I really 299 00:16:27,120 --> 00:16:28,840 Speaker 1: appreciate you taking the time. Thank you for having me. 300 00:16:28,840 --> 00:16:31,120 Speaker 1: I'm such a fan. You can find more of Jeff 301 00:16:31,120 --> 00:16:34,440 Speaker 1: stones reporting on the Bloomberg Terminal on Bloomberg dot com 302 00:16:34,560 --> 00:16:38,320 Speaker 1: or follow him on Twitter. He's at Jeff Stone five hundred. 303 00:16:41,760 --> 00:16:46,440 Speaker 1: On the next episode of Bloomberg Crypto. Cars, especially luxury cars, 304 00:16:46,760 --> 00:16:49,760 Speaker 1: have always been a marker of wealth, but for many 305 00:16:49,840 --> 00:16:54,560 Speaker 1: crypto investors, no single car has driven so much interest 306 00:16:54,800 --> 00:16:58,480 Speaker 1: as the Lamborghini. To better understand how the Lambo came 307 00:16:58,560 --> 00:17:00,760 Speaker 1: to be one of the most visible status symbols in crypto, 308 00:17:01,160 --> 00:17:03,760 Speaker 1: I'll be joined by Bloomberg Report to Hannah Miller and 309 00:17:03,800 --> 00:17:11,240 Speaker 1: crypto venture capitalist Peter Saddington. This is Bloomberg Crypto, a 310 00:17:11,320 --> 00:17:14,720 Speaker 1: daily podcast from Bloomberg and I Heart Radio. For more 311 00:17:14,720 --> 00:17:17,400 Speaker 1: shows from I Heart Radio, visit the I Heart Radio app, 312 00:17:17,640 --> 00:17:21,760 Speaker 1: Apple Podcasts, or wherever you get your podcasts. Send us 313 00:17:21,760 --> 00:17:24,640 Speaker 1: your comments, questions, or suggestions for the show to Crypto 314 00:17:24,720 --> 00:17:27,840 Speaker 1: at Bloomberg dot net or find us on Twitter. We're 315 00:17:27,880 --> 00:17:34,080 Speaker 1: at Crypto. The supervising producer of Bloomberg Crypto is Vicky Vergalina. 316 00:17:34,480 --> 00:17:38,520 Speaker 1: Our senior producer is Janet Babin. Our producer is Shannon Barrero. 317 00:17:38,840 --> 00:17:42,720 Speaker 1: Associate producer is Thy Butler. Desta wonder At is our engineer. 318 00:17:43,160 --> 00:17:47,640 Speaker 1: Original music by Leo Sidrn. I'm Stacy Maria Shmal. We'll 319 00:17:47,640 --> 00:17:48,400 Speaker 1: be back tomorrow