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700	6540	Thank you Ajit for the kind intro and I'm Victor Fang. I'm the CEO of Ancient AI and I'm
7820	13960	joining from San Jose, where the company is located. And it's a great honor to be presenting
13960	19340	as a keynote at the DEF CON Blockchain Village here. And today I'm going to talk about this
19340	28100	most recent, very interesting hack, right, on Twitter. We call it the Twitter Tax Day Disaster.
28100	33680	We're going to talk, explain to you the beginning and the end and all the implications to the
33680	42210	industry. So first of all, who am I, right? Like Ajit just said, I presented last year,
42210	49850	but some of you may be not new here. So I founded Ancient AI in 2018 and like some of the folks in
49850	55690	the village, right, I also worked at FireEye Mendiant before and I was very honored to be
55690	62450	recognized as the face of FireEye 2017 to now, actually. Yeah. And I say this year,
62450	67210	they're still using my face to represent the FireEye. It's a great company. I really,
67210	74570	I'm super pleased to see that. And I'm a big AI and machine learning practitioner
74570	82370	since 2007. And one of my work is including how to use machine learning to detect the
82370	88550	PowerShell exploit that is specifically in the APD32. And I actually have a blog on FireEye,
88550	93950	check it out. And also I'm very honored to be able to work with the great engineers and all
93950	100290	that and ship the products, the machine learning powered products to our network, endpoint, email
101030	107410	in various companies. And also when I'm not solving the cybersecurity problems or blockchain
107410	113490	problems, I also play electric guitar, but my teacher told me that I keep my day job yet. So
113490	119530	I need your help to help me successful so I can create music. I can spend more time with music.
119650	124410	So that's myself. And a little bit about my company, Ancient AI. We are an AI powered
124410	130150	blockchain risk and compliance solution company. So the team are mostly from FireEye, Mendiant,
130150	137310	McAfee. Then also my co-founder is coming from the internet industry, Yahoo, Pivotal,
137830	143630	and we are backed by SIG, Cisco HANA, and Amino Capital. We are also part of the Berkeley
143630	150350	Blockchain Accelerator. So yeah, so what's the largest hack in 2020, right? I may ask,
150350	154350	when I ask different person, I'm going to get different answers. Some talk about this March
154350	160410	hack on T-Mobile. Some talk about this Mario hack in April, right? Those are major hacks.
160410	165250	But I think the biggest one, right, at least the one that gets to the mainstream is actually this
165250	172570	text they had. It happened only a few weeks ago, right? July 15, 2020. And this is the screenshot
172570	178490	of those celebrities, hacker, that being hacked. And this is something I'm going to talk about,
178490	185030	drilling into every detail of it. And by the way, we have a contest in progress right now,
185030	189390	right? Thanks for Ajit's help, right? So we're running it right now. We're actually in the
189390	195230	middle of it. And actually some of the people already submitted the answers. Very cool.
195230	203630	And yeah, and then I actually got the honor to be interviewed by the CBS News, right, on this
203630	212030	specific incident, right? And yeah, very great to spend 10 minutes with Len Pease, one of my
212030	219570	favorite news anchor. And okay, let's get down to it, right? So Twitter hack, it's actually the
219570	225290	perfect crime, combining the centralized and decentralized. That's why I found it super
226670	234730	intriguing. And if you step back and look at all this, right? We are actually at the boundary of
234730	241130	two worlds, right? Centralized, those internet and banks and all that, right? And then decentralized,
241130	246990	which is a lot of people here are big fans of blockchain, which is designed to be centralized.
246990	253850	And the difference right now as of 2020, right? The centralized world, right? It's well studied,
253850	259010	plenty of tools and all that, right? And then the decentralized world, right? In contrast,
259010	264190	less study and lack of tools. So when the incident like that happened, right? People
264870	270290	focus a lot on those internet, how they're hacking and all that, right? But fewer people
270290	274310	actually focusing on what's happening on the blockchain. And that's actually the problem
274310	282250	we're trying to solve also. And for this Twitter hack, right? We call it a Nigerian Prince
282250	289270	scam 2.0, right? And yeah, so for those of you, I still remember those in the 1990s,
289270	293670	those famous scam, right? You get emails or a letter, right? Saying, Hey, I'm Prince
294590	302550	of Nigeria, right? And then I'm showing money. If you mail, send me a thousand dollars, I can
302550	307810	send you $2,000 back in a few weeks, right? It's actually exactly what happened. The same tactic,
307810	312110	right? And it's actually combining the cybersecurity hack, right? So they're social
312110	318090	engineers and it's, which is a takeover into the Twitter main tool, right? It's a very typical
318090	323810	insider spam, right? And as an outsider, the end user is literally very little you can do.
323810	328530	Okay. And the second part is a financial scam. Once they get a hold of your account, right?
328530	335330	They actually launched a Bitcoin as a scam using Bitcoin, right? It's actually this Nigerian Prince
335330	340750	scam. It's a very famous scam called an advance fee scam, right? And then they leverage those
340750	346650	money laundering as we're going to get into details. The timeline, right? Let's look at it,
346650	352530	right? There's actually 10 plus Twitter accounts being hacked, right? In only three hours,
352530	358010	right? And we summarize it in this nice timeline, right? There's actually three waves,
358010	364290	right? The first wave are actually a blockchain industry, right? Finance, Coinbase, and all those
364290	370350	celebrities, right? In this blockchain industry, right? And then the second wave starting from 1pm
370350	375810	in the middle, right? Elon Musk, Bill Gates, and then Apple and Uber, right? Roughly. They are all
375810	383070	in the high tech industry. Then the third wave, the politicians, right? Obama, Joe Biden, and
383070	388170	King Wes and all that, right? And they are the third wave being hacked before the show is over.
388170	394810	And it's funny to mention that Elon Musk got hacked twice in this wave also. If we look at it,
394810	399390	right? It's getting more interesting, right? So the hacker posts the Bitcoin address in Twitter,
399390	402910	right? And people start sending money to it, right? And then if you look at this chart,
402910	408730	we generate it using our CISO tool, right? You can clearly see that within the 24 hours,
408730	412110	right? There's a lot of money movement on the blockchain, right? This is what I say.
412110	419030	This is the dark side of the decentralized world, right? Not a lot of people are aware of it
419030	423590	because of the lack of tools, right? And then this is exactly what we're trying to help, right?
423910	431470	Within 24 hours, actually, the hacker receives those money and starts doing the money laundering,
431470	436310	right? And within 24 hours, they wire into six different wallets. We actually have a full
436310	442050	detail blocks in our media, okay? And it's funny to mention that there's actually still... we're
442050	451130	able to recognize three... there's three victims coming from a known exchanges, right? Are sending
451130	460510	money to it, right? And then if we look at a longer time horizon, right? Five days. And then
460510	467190	actually, as we predicted on day one, right? The hacker starts to run through the mixers,
467190	471890	right? The tumblers, right? To start the money laundering process, right? Those are the hops
471890	476830	and splits and jumps, as you can see, right? They actually eventually get into this wasabi mixer.
476830	482690	I will spend more time on it later. And there's a quick update, right? I mean, a few days ago,
482690	486890	right? You guys are probably already aware of it, right? So those three Twitter hackers are arrested.
486890	491070	One of them, I think it's confirmed to be in Florida. Two of them are actually the UK cities
491070	498130	and all that. There's a wire article on that, right? And yeah, let's... I mean, let's... this
498130	503090	is like a typical Mendian exercise, right? Let's try to attribute this hacker, right? So we actually
503090	508970	in day one, right? We launched this block, one of the most in-depth block, right? Investigation
508970	515490	reporting industry. So the first one is like, we correlate with some of our threat intel, right?
515490	522250	We find out this thing is actually correlated to crypto4health.com, right? And the right-hand side,
522250	526110	yeah, this is the first time you guys are seeing it, but internally, we actually analyze more than
526110	530890	just blockchain, right? We also analyze the domain registrations and all that in our threat intel
530890	538370	database. So we knew that this was actually a US-based server, right? And then we also say,
538370	544230	they will predict... they will start a Bitcoin mixer, money laundering, right? This is like
544230	549930	how we found the ransomware, right? The WarnerCrypt and all that, right? Back in a few years ago.
550130	554870	And then we also say, hey, it's a coordinate crypt, as you can see, right? That timeline is
554870	559290	structured in three ways and all that. It's well-planned. It's not a random keep doing the
559290	565590	random hacking, right? It's coordinate crypt, but it's less sophisticated than those hacking
565590	570350	campaigns I have done with DeWitt before, right? At FireEye Mendiance and all that. Those APT
570350	577150	hackers are more sophisticated than these guys. And then one thing we did miss, one prediction we
577150	582850	did wrong is actually we told the media, hey, be patient. It may take a few months to arrest them,
582850	588970	but actually the law enforcement were able to caught those guys in two weeks, right?
590190	596070	And there's a question that I got asked often, right? So why the hackers only make
596070	601470	$100,000, right? You think about it. Those most powerful people in the US,
601470	606270	right? Their Twitter account got hacked. Why they only make 100K? Why the hacker only make 100K?
606270	611970	That's nothing. But okay, if you remember that timeline, right? It's actually the shows only
611970	617730	last for three hours, no more than that, right? And then if you divide it by three,
617730	622990	that's actually still $36,000 per hour, pretty decent profit that they make, right?
622990	627750	So I think thanks to the Twitter team, right? The compromised celebrities and everyone that
627750	633630	alerted this hack, right? Including those people that forwarded our research report and some other
633630	639730	companies report, right? This is actually the awareness where we can help bring more transparency,
640270	647810	bring more light into this dark world. As my interview to Inverse, right? One of the
647810	653570	New York based media, right? Humans are always the weakest link, as you can see again here,
653570	658230	right? The threat vector is, again, is getting the human, getting the internal infrastructure
658230	669550	and then compromise the entire Twitter admin tool, right? And this is exactly why our company,
669550	673090	so we can act faster and be more preventive.
674130	678150	Oh, okay. So let's get to the second section here, right? So I want to talk about some cool
678150	682310	technology in the blockchain security and would like to pick this one. I think this is the most
682310	688810	exciting technology advancement, right? SpaceX send us the Dragon Crew, right? They sent two
688810	698550	astronauts to the ISS, super cool. And then look at the Earth, right? From the space,
698550	706150	actually, you cannot see any border, okay? And actually, the human, right, create maps
706150	713350	so we can navigate. This is exactly what nChain AI try to achieve, right? We create blockchain
713350	719970	maps for this massive centralized world, so your business can navigate. For example,
719970	725670	we are trying to identify which one are the exchanges, which one is the OTC and miner and
725670	731490	hackers and all that, so we can make transaction more safely, more securely in this decentralized
731490	742110	world. Then look at this world, right? That's $8 billion. Actually, only 1% of the money laundering
742110	748570	are in cryptocurrency based on FATAP. FATAP is the organization defining the anti-money laundering
748570	754750	standards and all that based in Europe, okay? So three typical, three steps, right? In any money
754750	759570	laundering, including this one, okay? Including the Bitcoin and cryptocurrency and all Tether,
759570	765890	stablecoins and all that. Three steps, placement, layering and integration, right? And we have done
765890	771530	some investigation, including this Twitter hack one, right? And then actually, the hackers are
771530	780710	actually, they use this technology, right? This money laundry in cryptocurrency technology being
780710	786890	used by many, many other bad actors, like ransomware, people are selling their breach data
786890	793550	on dark webs and all that. And this is a super challenging task, right? That's why we haven't
793550	798670	seen any company have done that yet, right? One of the challenges is actually we have over 500
798670	803990	million addresses out there in the blockchain world and it's growing like crazy, right? And then
803990	809110	if you make a comparison, right? This is where I live, right? In San Francisco Bay Area, a satellite
809110	815710	map, right? Without putting those landmarks and all that, right? Like what usually you are seeing
815710	819730	the map, right? Or putting the highways or buildings and all that. It's really hard to
819730	825050	figure out what's going on there, right? And then the same thing, right? The Bitcoin UTXO
825050	830590	transaction graph looks like the right hand side, right? And there's a 500 million vertices there.
830590	836250	And it's going to get to billions real quick, right? Because we have many other blockchain
836250	841950	coming up. Exelium is doing pretty well recently and there's other, like for example, those tokens
841950	846330	are running on top of Exelium and all that, right? It's getting more and more challenging.
847370	851230	And our solution to this, right? And I think this is a blockchain mapping is the
851690	858550	best way to do it, right? There's three specific technology feature where a technology problem
858550	864030	is solving, right? One is pseudonymity, right? We're using the threat intel UEBAs and all that.
864030	869390	We try to figure out the behavior of the address. Then the second one we deal with
869390	875010	is the massive data volume, right? We're left with big data cloud and GPU, right? Some of the
875010	881050	models are running on deep learning. Then complex graph transaction relationship, right? That's
881050	887230	where we actually develop AI and UX focused investigation tool that we will talk about.
887230	891850	And actually some people in the room are already using that CISO product, right?
892590	897390	Then our machine learning connect to more than 10 different blockchains, right? And as promised,
897390	902110	I'm going to put one equation here. And this is the only equation in this entire slide, right? So
902110	907590	one of the model is using deep learning, right? To try to figure out exactly the same technology
907590	912130	being used by AlphaGo, AlphaStar, the self-driving car and all that. We're trying to figure out
912130	920130	giving kinds of transactions of an address. Can we figure out the behavior of it, right?
920130	927630	Then yeah, just to make an analogy here, right? 500 million blockchain addresses, right? It's like
927630	933470	what the map is our intelligence we're creating. The bank, right? That on the landmark, right?
933470	940410	They are similar to reputable exchanges like Coinbase and all those top exchanges that are
940410	947630	more focusing on compliance and regulation, right? And car accident, right? Those bad incidents and
948150	954150	those are the suspicious actors that we reflect on the right-hand side here. And that's what the
954150	959270	goal we're trying to achieve. We're trying to make it more transparent so we can navigate more
959270	965670	securely and safely. Okay, let's do a little bit of a pop quiz, right? Yeah, who can tell me what
965670	972130	is this? This is one of the typical Bitcoin address, right? What is it? It's hard to see,
972130	979910	all those nonsense letters. Well, and then if you open and putting this address in any of the
979910	984690	blockchain explorers and all that, right? This is what you're going to see, okay? It's a wealthy
984690	990030	and probably still active Bitcoin wallet, right? That's usually this is what you can get, right?
990470	998050	And it started at what? 2017, right? If that's a hint to you. It turns out, okay, it's actually
998230	1004230	a WannaCry ransomware. One of the few wallets that they embedded into their ransomware,
1004230	1011390	right? I think some of you probably are exploring in ransomware and all that. And this is actually
1011390	1016190	one of the screenshot we get from the FireEye sandbox, right? This is that exact screenshot
1016190	1022730	what pops up when you got infected by WannaCry. That little address, see that? That's the 12T9
1022730	1026850	is exactly what the hackers are using for receiving the ransom.
1027930	1034890	Okay, so we have been building this intelligence database in the last two years, right? And then,
1034890	1039410	yeah, so when you're plugging, we're trying to tell you, okay, this is actually the ransomware
1039410	1045510	which even tells you the family, the WannaCry and all that. And most importantly, if you're
1045510	1050070	running a crypto business, right? We will tell you, hey, do not transact with this guy, right?
1050070	1055550	Reflect as the highest risk score, 100, right? Do not transact. If you make transaction with this
1055550	1062190	guy, Boeing Forceman is going to come to you. And they are equipped with threat and intelligence
1062190	1070270	tool these days. And actually, that's a good thing, right? So, and then, so that's exactly
1070270	1076350	why we are launching this tool, right? For free, right? We're trying to democratize blockchain
1076350	1082330	investigation. Other than paying $100,000 to buy some of the expensive commercial tool,
1082330	1088090	right? We feel like we need to lower the barrier of entry. We need to make this tool more available
1088090	1096110	to everybody, right? So, we can actually help this industry obtain X. So, by the way, as we're
1096110	1100630	speaking, right? We actually just launched the second challenge in the same website, right? So,
1100630	1107370	now you should see the button, right? Being activated. So, the second challenge is the
1107370	1115430	WannaCry ransomware challenge. Okay. And so, let's drill down a little bit deeper, right?
1115430	1121350	What is a Bitcoin mixer, right? Maybe, I mean, some of you are already using it or very familiar
1121350	1130610	with it, right? Basically, as of now, right? It's the most popular Bitcoin mixer in the world,
1131450	1135950	algorithm, right? There's a paper published a few years ago explaining the details of it,
1135950	1140690	right? And then we believe that the Twitter hackers are actually using Wasabi, right? It's
1140690	1145030	hard to tell, right? Because they keep shuffling around the wallets and address and all that. But
1145030	1151310	then in the mixer, right? But then based on the machine learnings and all that, we can actually
1151310	1158990	see the similarity of the transactions, right? They're using to the existing behavior training
1158990	1167150	base we already have. Okay. So, as a human, right? If you're seeing transactions like this,
1167150	1175630	right? It's very hard to figure out what that is, right? It's just one of the many UTXO transactions,
1175630	1180010	right? You have some sudden behavior tracing there, right? That's why we can leverage machine
1180010	1184770	learning. But it's still hard to say because some exchanges, especially the mainstream exchanges,
1184770	1192430	will use similar technology like this also, right? And by the way, it is a Wasabi transaction,
1192430	1199390	okay? We have detected over 700,000 of similar transactions like this,
1199390	1204370	and that's only on the 2020, okay? And out of the 54 million total transactions.
1205970	1210730	How machine learning detects this, right? So, this is one of... we're going to share with you
1210730	1215210	some of the best models we built in our auto machine learning pipeline, right? This is the
1215210	1219750	gradient boosting tree model we built, right? This is just an illustration of it. We have a thousand
1219750	1225330	trees model, super accurate, that we trained from all this curated transaction data, right?
1225550	1231370	And for example, on the left-hand side, that's one of the real... that's the Twitter hack transaction,
1231370	1236670	right? And then some of them are actually... our model predicts as a high probability of being a
1237390	1243330	because they have those certain characteristics of the Bitcoin mixer,
1244570	1251590	right? And how machine learning can help, right? We have built thousands of those machine learning
1251590	1257550	models, right? To specifically detect every behavior. For example, mixer is a big one.
1257550	1262570	Exchange, hackers, and bots, right? We talked about bots last year, right?
1262570	1267590	And then there's actually whatever you can find on the internet, the decentralized world,
1267590	1273250	you can also find the equivalent party, the decentralized world. That's very interesting.
1274390	1280090	Can we prevent this, right? I think it's totally feasible if we equip with the right technology,
1280090	1285890	right? And like Coinbase, right? Coinbase did a great job, incident response, right? And then
1285890	1293350	as Phil Martin presented to the Forbes, right? So I think, yeah, they were able to block them
1293350	1299850	when this thing is just starting to happen, right? So thanks for doing that Coinbase, I think. And
1299850	1305910	more exchanges should follow this pattern, right? Equip with the right technology, the right experts,
1305910	1316680	block all these bad transactions, protect this entire blockchain ecosystem, right?
1316680	1324180	Oh, I know some of the other companies, right? They kind of think about privacy in a different
1324180	1328680	way, right? But our perspective, NCHI's perspective on the privacy on blockchain,
1328680	1335560	right? Privacy should always be protected as well, okay? But there's a big distinction, right?
1335560	1342320	Between this NCHI blockchain mapping versus other surveillance, right? We don't call our
1342320	1349340	surveillance, we are mapping the blockchain world. We only get down to the behavior level,
1349340	1354400	so that's like, what is it, right? So for example, I'm telling, okay, this address is a bank,
1354400	1360100	it's a post office, that's it, right? Not to the individual level, that's a huge difference.
1360100	1366600	We're not trying to breach the customer privacy, we're not trying to identify the individual level,
1367140	1373920	and public intelligence, all of the intelligence are coming from public resources that we got,
1373920	1379140	right? Then, don't be evil, right? Never monetize on the customer's privacy data,
1379140	1384520	right? And focus on malicious addresses for the risk purpose, right? The whole business here,
1384520	1396560	we're trying to make blockchain more secure to transact, that's on the privacy. And then,
1396560	1402880	Twitter hack is actually defining a new chapter of the blockchain world in 2020. This is what I
1402880	1407260	call the end of the beginning, I want to call Winston Churchill, one of my favorite characters,
1407260	1415340	right? This is the end of the beginning. Why do I say that, right? We are entering a new chapter.
1415920	1424320	Before this, right? I mean, Bitcoin shows up in 2009, right? And all the way until today.
1424320	1430380	It's still a great area, especially in the regulatory compliance side, right? A different
1430380	1435400	country, a different opinion on it, SEC still haven't figured out what really cryptocurrency
1435400	1441240	is. Is it a security, a currency, or asset, or whatever, a commodity? They haven't figured it
1441240	1449280	out yet, right? But going forward, right? 2020 and beyond, they are already spending a lot of
1449280	1456100	effort in defining this, to bring more regulatory compliance, providing guidelines on the VASP,
1456100	1461820	right? The Virtual Asset Service Provider. For example, FADA, the AML, the company,
1461820	1466920	at that organization, they're defining the standard for anti-money laundry, right? FADA
1466920	1475020	and OCC, this is the bank regulator body in US. ISACA and SEC think about that.
1478300	1480140	Is there a question?
1483180	1487920	And then the community is going to help more transparency, right? And when I look at this,
1487920	1496840	this industry, right? The moment it got acquired for blockchain adoption.
1501160	1502760	Is there a question on the line?
1506360	1513020	10x growth, right? Only happens when more blockchain adoption to the mainstream. And if we allow those
1513020	1519100	hackers are using Bitcoin and cryptocurrency, the long-term funding and all that, this industry
1519100	1526940	is going to fail, or it's going to stay like this, right? So that's why we need to...
1528020	1532720	I mean, some of you actually doesn't look like working with the government bodies and all that,
1532720	1537420	but I think this is actually helpful to make this industry grow 10x.
1539060	1544500	And what's next, right? After this Twitter hack 2020, I think there's three things,
1544500	1551700	three aspects to it. Awareness. Blockchain needs us to work as a community to fight
1551700	1559620	all this illicit use of cryptos. The technology side. One of the main reasons that a lot of
1559620	1566980	exchanges are still accepting those longer bitcoins or cryptocurrency stable coins and all
1566980	1573220	that, right? It's actually because they lack of the technology, right? And then technology,
1573220	1578960	as we are showing already, is making it possible to defend against those illicit use of cryptos,
1578960	1585160	especially with machine learning and AI, right? So we have, like I said, we have almost 800,000
1585160	1592740	transactions using Wasabi, the mixer, in 2020. Some of them are good, some of them are bad,
1592740	1597920	but at least we need to picture it. We need to kind of tell you, okay, it's actually a mixer.
1597920	1602300	And then different countries, different exchanges have different policies against it, right?
1602300	1607960	Compliance bodies also have different ways of defining it, right? For example, earlier this
1607960	1617100	year, Binance, they got caught up by the Singapore MAS, right? The Singapore MAS is
1617100	1621840	their regulatory body, like the SEC, right? Singapore. And then they kind of tell Binance,
1621840	1629560	hey, you cannot accept mixer if they're coming into exchange, right? Things are still starting
1629560	1636180	to change, right? So government has also realized that, okay, this cryptocurrency is going to be
1636180	1641520	getting more and more mainstream, right? How do we make it secure for everybody,
1641520	1647460	so more people can enjoy this great technology? And on the risk and security side, compliance side,
1647460	1655060	technology is also a big factor to it, right? It can be applied to preventive or post-incident,
1655060	1661020	right? Then the third one, regulatory compliance guideline from the public sector, right? FATF,
1661020	1667880	OCC, SEC, and things like that, and 5AMLB, right? That's from the European side.
1669460	1679220	Then, yeah, and then so I'm very fascinated by this SpaceX, right? That Dragon Crew, right? So
1679220	1685740	and then we compared it to this Boeing Starliner on the left-hand side. I call it pre-2020,
1685740	1690540	but then I decided to put another pre because this is a super vintage. If you look at the
1690540	1697100	dashboard, man, this is crazy, and how it's going to navigate. There's like hundreds of buttons
1697100	1703500	out there, right? If you look at our right-hand side, in contrast, right? Yeah, this is actually
1703500	1710340	the design that SpaceX had, right? So make super sleek, super easy to navigate, right? It's spent
1710480	1716340	a lot of time on the user experience, the UX side of it, right? To really make it accessible.
1716340	1724980	And this is also, I feel, is important, right? If very few people can only use very few tools
1724980	1730840	to get access, to understand what blockchain is, right? And that is a big problem for the industry,
1730840	1735680	right? Think about it, like the internet, right? We're using internet every day, right?
1736360	1741380	But on the blockchain side, look at it. How many tools do you use? If the blockchain explorer, yeah,
1741380	1747060	those are only good, those are like Wireshark, right? But then you have to have something more
1747060	1754220	accessible, more user-friendly for them. Even to look at those, this blockchain investigation
1754220	1760980	side of it, right? It can actually help you understand more of what's happening. And I think
1760980	1769380	that the general public, right, need to have a tool like that. Then, okay, so this is towards
1769380	1773520	the end of my talk, right? So as I said, right, as of now, we actually just launched the second
1773520	1777860	set of the challenge, right? Join the contacts right now. It's going to last until tomorrow
1777860	1783600	night, midnight, right? So you still have plenty of time. This whole challenge, as I promised,
1783600	1788860	is no code. You don't have to code up anything. The only thing you need is go to the website and
1788860	1795920	put those address there and then start clicking, start exploring, right? But as you know, as an
1795920	1800460	analyst, a researcher, you still have to have some expertise in that. But I mean, at the bare
1800460	1806320	minimum, you don't need any technical skills to be able to enjoy this technology, right? And
1806320	1811700	that's actually the main thesis when I talk to my team, right? This is one of the design principles
1811700	1818780	I want the engineer, the designer to build, right? To build into our DNA of the product,
1818780	1825100	right? And then, so we allocate over a thousand dollars worth of Bitcoin price, right? And so
1825100	1830020	we're in the middle of it. So the first set of the challenge was the Twitter hack, right? So you
1830020	1837020	can actually experience, you can be a detective yourself. Open the website, the contacts, right?
1837020	1842900	And then, yeah, check it out. And then now we are launching a second set of the challenge, which is
1842900	1854900	the ransomware that I just showed you. So that's the end of my talk. And yeah, so we got about
1855560	1861200	40 minutes and half an hour, 20 minutes. So Ajit, so we have a Q&A time.
1869150	1873570	And by the way, this is the website, right? This is the blockchainviz.net contest.
1876950	1915790	Okay, go ahead. Any questions? How many of you have tried the contest already?
1915790	1949980	What do you guys think? Any thoughts? Any feedbacks?
1950260	1957280	Yeah, let's see. Oh,
1959200	1965800	ah, I see. So there's a streaming on Twitch and also YouTube.
1970280	2011720	All right, okay. Okay, yeah. Right, right. Yeah, actually I can see that there's already a few
2011720	2016240	submissions, right? And then, yeah, so some of them already got it right, right? I think, yeah,
2016240	2022800	the first set of the challenge, right? Yeah, so we do have a pretty intelligent cloud in the room
2022800	2030020	here. But let's see. We still have, what, how many hours? We have one and a half days, right,
2030020	2034420	ahead now. So we just launched the second set of the challenge, right? So check it out. And
2034420	2039140	yeah, it's fun. And there's no any feedback and all that, right? So we're actually
2039900	2044460	expecting a lot of, we actually saw a lot of traffic going to the website and we'll just
2044460	2048780	upgrade the server and all that, right? So hopefully we can handle the traffic and all that. And
2049560	2055640	yeah, so thanks a lot for participating in the contest. And let's see which one's going to be a
2055640	2069830	winner. And it's fun. And it's fun that you can actually see those, you can become an investigator,
2069830	2074930	and all this intelligence and all that are already publicly available in the public ledger,
2074930	2080170	Bitcoin, which is great. We just need a tool to tap into it to make it more accessible.
2105440	2109000	All right, cool. Thank you, Ajit. Thank you, everyone. Bye-bye.
2113420	2115660	Thank you, Ajit. Thank you, everyone. Bye-bye.