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How President Maduro Was Captured: Cyberattacks, Satellites, Signals, And A Sting
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Join Vivek and Salah as they delve into how cyber security and satellites help the US capture the Venezuelans president Maduro. We talk about advanced tech such as the fascinating world of thermal infrared technology and its role in detecting heat signatures. In this episode, they explore how satellites and advanced telemetry are used to identify active locations, even in challenging environments like underground bunkers. Discover the layers of data fusion that make modern tracking possible and learn about the implications of these technologies in cybersecurity and beyond. Tune in for an insightful discussion that bridges the gap between cutting-edge tech and everyday security concerns.
Setting The Stage: Why This Matters
SPEAKER_00Hello everyone, welcome to Silent Mode Cafe. This is a weekly podcast on everything related to security, cybersecurity, and protecting you. We have an extremely interesting podcast for everyone today. I'm Vivek, and with me is Salah, here I am. Welcome everyone.
SPEAKER_01So Vivek, tell me then. A lot happened this week in the news. What are we going to talk about today?
SPEAKER_00Today we're going to talk about how it all went down. We'll talk about satellite, speed signatures, and the last mile. The last mile has always been something that Salah and I have been involved with for a long, long time. When we were interns at a big company.
SPEAKER_01So a lot happened
Headlines, Hype, And Misinformation
SPEAKER_01this week. Look, Maduro was reportedly captured in Caracas around uh, I think it was at the beginning of the year, January 3rd, and then he appeared in court in New York on the 5th, uh pleading not guilty, of course.
SPEAKER_00Yeah, and then right behind the headline, there is a second story, uh, which is uh mostly related to misinformation and misleading clips, which spiked fast afterwards, uh which Wired covered.
SPEAKER_01So Yeah, it widely covered. And look, lots of conversations out there. You probably saw um some notes about how this went down. Without a doubt, we all fell in love with all the videos from from what aspect, whether we agree with this politically, whatever, there's no there's no conversation there. This is strictly about how we believe this went down from a cyber perspective. Um, we saw how it went down from a military perspective. It's full of action. It was like watching a movie. But there are a lot of things that happen on the back in the back end, right? Like, for instance, how how are satellites utilized, how are other cyber warfare, and then Vivek, a bit of muddying the waters, right? Um, how did everything happen?
SPEAKER_00I think the the big thing and the coolest thing about it, you know, we're not this is not a political conversation like Salah said. This is a uh this is more of a a cybersecurity technical
Data Fusion As The Core Strategy
SPEAKER_00conversation. The cool thing that that truly brought it together was what is called as data fusion, uh, which is not some one magical system in space that brought it together. It was a combination of a significant number of data points that came together for a successful execution, the way it went down. And it's something that, you know, this country has invested in decades, right? This doesn't happen in one day. It all started post-9-11, and it's just a culmination of all the investments that have happened till date and a continuous investment of that infrastructure.
SPEAKER_01You know, this this and specific to this operation, um, without a doubt, this started weeks, days, months in advance um to look at all the patterns. US intelligence, without a doubt, had a heavy hand in supporting this and from a from a cyber perspective, like monitoring electronic communications, um, and and providing from other venues uh some supporting context, right? To be used maybe not exactly as a blueprint, but more of a supporting overlay of what was actually happening on the ground.
SPEAKER_00So the key idea in all of this is that there's a lot of modern tracking, which isn't reading context. It's something which is very simple, which is pattern detection. Who's active when, where, and how routines change. And with regards to pattern detection, the accuracy rates, thanks to higher computing power, thanks to AI, over a period of time has has become so accurate that the moment you start what Steve Jobs used to famously say, connect the dots, things come together super fast. But they have to come together and you need to know which dots to connect.
SPEAKER_01So let's talk about it from this perspective. We all know, as you had mentioned, things had kicked off post-9-11.
Satellite Stack: Optical To SAR
SPEAKER_01Um, and over the past few years, uh this the ability to send satellites up has incre incredibly on an order of magnitude. Like I can't, I can't um I can't emphasize the impact that that had. And the reality is is the satellites, they don't need to see you anymore to be useful, right? So, Vivek, let's talk a little bit about satellites, um not as a tool, but as a stack. So the first aspect of the stack is optical imagery.
SPEAKER_00Right. So, first the older satellites which you see today for me, roofing inspectors or anyone who's doing land terrain is optical imagery. So it takes a photograph, the photograph resolution over a period of time has become super accurate, right up to about a meter or less than a meter, sometimes even inches, right? But there are always, you know, some cons to optical imagery. If there are clouds or if there's darkness, uh then obviously the accuracy goes away. But think of your older satellites starting from Sputnik, which the Russians threw in space before Salah and I were born, uh, was optical imagery, like, hey, we're gonna take a photograph of yours and see how you're doing.
SPEAKER_01So the problem with optical imagery are two big things, right? Clouds and darkness. But then comes in a different type of satellites, an advancement uh in technology that wasn't necessarily maybe focused on this type of a thing, but SAR radar satellites. What are those?
SPEAKER_00Yeah. So those are synthetic aperture radar. Uh aperture, aperture, however you want to pronounce it, they've called a SAR.
SPEAKER_01Depending on your English education.
SPEAKER_00Yeah, you know. Whatever accent. What it does is that it's an active radar. It's essentially a radar. It sends energy down and reads what bounces back. And then based on that, uh, it can uh image at night through cloud cover. Uh NASA explains SAR at a high level. It is a different kind of sensing than normal photos. That's what NASA says. As always, NASA being super transparent about what it does, it's a different kind of sensing, quote unquote. Right?
SPEAKER_01And look, and how likely this this helps, right, Vivek? Um, SAR is perfect for change detection. Like I can take a blueprint of something or an image of something as a base, and if anything looked like it changed from yesterday, um, what happened, what's happening today, while it's not definitely, if we think about this from a Maduro, there is without a doubt assets on the ground. Um, and they detected him, and then the the ability to track from this perspective is if they saw a movement, something moved, something appeared, something changed, they have a bit of a blueprint aspect. But that's also not where it ends, but then there's the there's really another link. Because what happens when I'm in a building? Um, and what happens when things change? That's where thermal
Thermal Clues And Heat Anomalies
SPEAKER_01infrared comes in, the heat signature aspect. Tell me a little more about the heat signature conversation.
SPEAKER_00So to that point, what happens if I'm in a bunker 100 feet under the ground? Right? How am I ever going to get detected? So that's where thermal infrared has come in, which is the third layer. Remember, we're talking about data fusion, it's a lot of data points coming together.
SPEAKER_01Different satellites at different satellites at different angles, at different, you know, what uh uh you could have satellites at low Earth orbit, five miles, ten miles, going up to 120 miles, depending on what this is. But the reality is when people say they use satellites to see a heat signature, the realistic version is thermal inner imagery um really can highlight heat anomalies and hint the activity like a recent running vehicle cluster, generators or HVAC, or um, it should be dark. It's not yeah, yeah. Building compound suddenly shows more thermal activity than it did before, right?
SPEAKER_00Remember, we are all human beings and we emit thermal energy. There's energy within. Like I'm I'm talking like very yoga-esque right now. There is energy within, and there truly is energy within. We emit thermal energy. We're, you know, people might say otherwise, we're animals, we emit energy, or we are better than monkeys, or and and etc. Right. Yes, we emit heat. Uh if you're alive, you're emitting heat. Um, if you've turned blue, you're not emitting heat. So it's uh, you know, so it's less thermal sees the person, and more thermal suggests which places are active. Um so that's the third layer. Are we calling it layer C.
SPEAKER_01And then you want to talk about layer D? Let's talk about layer D.
RF Mapping And Phones As Beacons
SPEAKER_01Go for it.
SPEAKER_00No, it's uh it's RF geolocation satellites, which is find the radio emitter layer. So these are a new set of satellites. Salah, you want to talk about those?
SPEAKER_01Well, you know, here's uh the piece that people miss. You can sometimes locate the source of a radio signal from space, right? Think of things like a certain radio, transmitters, that kind of a thing, using satellite constellation designed specifically for RF mapping. Hawkeye 360 is well known in the commercial space. And you can you can look, you can you can Google this and and really look this up.
SPEAKER_00Yeah. Again, it's not magic, right? Uh it's a way to say there's an emitter in the area, usually with an uncertainty region, and then you combine it with the other layers. Guess what's an emitter that we have all the time with us? It's our phone, and that emits radio signals. And so the moment you start tracking radio signals of a specific person emitting a specific heat signature, you can start connecting the dots very quickly.
SPEAKER_01And this is what people mean by pinpointing, right? Um, you take these sweet clues, you add on thermal anomaly, radar change, maybe the RF hints such as your phone. And, you know, there's always the human intel side of it. There's always eyes on the ground. Um and when these overlap, you get a picture. So, you know, a little conjecture here, right, Vivek? Tell me how you think some of this stuff came together, maybe months before, and how just from a satellite perspective, we'll get into some of the cyber warfare conversations and the hacking conversations that probably happened on the day of um, you know, the the the apprehending of Maduro himself. But tell me what in your mind, how do you think this played out maybe weeks or months prior to well I th I I uh well it's uh this is all folks, this is all opinion-based.
From Months Of Intel To Patterns
SPEAKER_01We're not we're not gonna be able to do that.
SPEAKER_00This is all opinion-based. And you know, there were reports that this planning started months in advance, and by months they said somewhere in October, November, where they had human intel, and then they started observing the behavior of the person of interest. Uh, and then from there they started figuring out where the movements were. That's where satellites come in, human intel come in, and then they started, you know, connecting all the patterns together. So it was it was a classic uh data collection that started. I think earlier than November, they were just saying November, but I can imagine they've been doing this for persons of interest throughout the globe for a long period of time, and they have it in wonderful dossiers somewhere, which are no longer paper that you see in Jason Bourne movies, but stored in a computer somewhere uh in Utah, and I'll keep it there. But um, but you know, that's that's how it typically happens is data collection.
SPEAKER_01Uh probably like if I was gonna storytell this, you know, it was a early on, like Vivek was saying, when the decision, who knows when the decision was made. It sounds like public decisions started what October, November?
SPEAKER_00I think the political decision was made in October, November.
SPEAKER_01That's what Yeah, and you know, assets on the ground probably quickly reacted to that. Someone had eyeballed him at an event, at a speech, at a dinner, uh his wherever he he um was at that point.
SPEAKER_00That's gonna be an Intel. Yeah.
SPEAKER_01And the and that human intel quickly fed into pinpointing his geolocation, and then bam, and then it started. Then it's like, okay, here's the vehicle he has, here's the here, here are the people he's around, here are the devices in that area, here here are all the heat signatures that each individual puts off. Here are the heat signatures, uh the RF signals that his devices put off. And it's all started like breadcrumbs. Wherever he had moved from that point on, whatever had happened from that point on, there was breadcrumbs following.
SPEAKER_00Yeah, including his uh security detail. So it wasn't only his birds of a feather, right?
SPEAKER_01And typically these guys have some sort of a tight circle. So wherever that tight circle seems to be coming back together, um, is a tattletale. So it's a little bit, you know, from I'm sorry, go ahead. What were you gonna say?
SPEAKER_00No, go ahead. Go ahead.
SPEAKER_01Yeah, talk to me a little bit about where you think from an advanced warfare. Because that then, okay, so that's how that's the how we tracked, that's the how we found out, that's the how we figured out where Maduro was um with all that intel. But then there was a lot more happening, right? There was things that happened from a cyber warfare uh that shaped the actual environment of that day.
SPEAKER_00So that happens uh on on the day off, or there well, not on the day off. There is practice that's done before the D-Day. Uh, and that practice is essentially advanced cyber warfare. Which is when
Cyber Warfare: Denial, Deception, Tempo
SPEAKER_00boots, before they get on the ground, uh cyber warfare kicked in, and there have been reports on how it was done. Uh, it was mostly related to three major things denial, deception, and tempo control. Um, denial was making coordination harder at the worst moment, which we've been talking about in our podcast series, typically known as a denial service of DOS or a uh you know di uh denial of service attacks, which essentially overwhelm systems to be able to react or communicate. Uh dismissing.
SPEAKER_01What kind of systems are we talking about here? Just to kind of paint a picture a little bit.
SPEAKER_00It could be communication systems, it could be uh, you know, tech systems, it could be hacking gates, it could be hacking doors, you know. Anything related to uh, you know, to anything controlled by a computer.
SPEAKER_01Yeah, and and look and compromising it. And compromising it, right? And then there's the the deception aspect um where you create an image through what you think you are tracking as a result of denial. Um, and suddenly you feel like you have the right signals and you're reacting to things and making what you think are confident decisions um that are wrong. So, such as, hey, our satellites are showing there's a lot of movement happening in the north, while really that was just an entire deception play, and really everything was happening in the south, and all the helicopters, the manpower, the et cetera, were moving in from the south.
SPEAKER_00As an example, right?
SPEAKER_01All conjecture, right?
SPEAKER_00There's conjecture and there are reports too, right? There's reports.
SPEAKER_01So all of this is tied into reports, folks. So you can you can read things on US Space Force, uh, do searches. Uh there all this information is kind of sprinkled and layered in, different types of outlets that you could that you could hear about.
SPEAKER_00And then the third piece was controlling the tempo, right? There were reports that when the Delta Force landed and had boots on the ground, they completely overwhelmed the entire compound. You know, Caracas was in a blackout, people didn't know what was going on, overwhelming firepower. They knew exactly who to hit, when to hit, uh, which was just crazy. And then they used weapons that have never been used before, which is sonic weapons. Which we don't know much about. Frank is a very good idea.
SPEAKER_01By the way, I don't know if that's been confirmed. I know we're hearing about this. I don't know if the government came out and said yes. Uh but there's a lot of people. It came from the Venezuelans, right? Yeah, it came from the Venezuelans, but there's definitely WIRED report on misleading visuals, uh uh rumor floods after that capture, right? So the visuals were like, who knows if the city, the people listening to their news outlets, thought that he was captured before he was actually captured, right? The misinformation on that day was so huge, you know, the infosec warfare was so huge. Uh, people didn't know what was happening. But like Vivek was saying, the the reason that this matters is if you disrupt that decision cycle, you don't need to win. You don't need definitely don't need to win with code. And it's definitely not like one hack from a cyber perspective that that did this, right? You win by just breaking coordination from that perspective. And and, you know, there are many signs from all the reports that we're hearing that we're seeing that that is cyber warfare. Um, kudos to Delta Force for boots on the ground, but cyber warfare played a huge aspect on the intel for them moving in. And and that brings us, Vivek, to another layer to add to this, right? So, how did you go from an active building, for example, to location? Yeah, how how do you do that? You know, that part is easy to oversimplify. Saddle satellites can help you spot interesting
Space, Air, Ground: The Three Layers
SPEAKER_01places, but exact person, exact room, exact time, that is some advanced telemetry.
SPEAKER_00Yeah, so let's do the math because we said it's always a data fusion, and math is your best friend. And pattern recognition is one of the cornerstones of a wonderful subject that all should study really hard, which is mathematics, the foundation of everything. So think of it as this we had the space layer that we talked about, which narrows the map, patterns and anomalies. We have the air layer, which is our dear friends with drones, planes, sensors, which are flying, right? And it refines.
SPEAKER_01Many drones reported.
SPEAKER_00Hundreds of drones, or thousands of drones were reported, right? That refines timing and identification. And then the third layer is the ground layer, which confirms and executes, which is a combination of human intel, uh as well as it's mostly human intel in addition to obviously a lot of the cyber warfare attacks and proximities and compromising of systems.
SPEAKER_01So, Vivek, you mentioned the space layer. Um, that really helped them narrow kind of the map, right? With with probably some advanced pinpointing that we just don't know about. We we we don't know the level of complexity that US uh Department of Defense truly has here. Then there was the air layer, which is Department of War. Uh Department of Flowers, whatever. Department of Flowers, Department of Peace, you know, whatever, whatever they fancy themselves as, he says. Yes. The drones, the planes, and then as you mentioned, the devices that we hold in our hands help help uh. Which emit radio signals, yes. A lot more than just emit radio signals, they're active listening devices, right? Yes. Um so this is also why heat signatures from space they're misunderstood. Space thermal is coarse, uh, but it's
SPEAKER_00And and to your earlier point, Salah, thanks to the explosion, or not the explosion, thanks to the significant magnitude of satellites that we can launch now, thanks to companies like SpaceX. You gotta give them kudos, right? Like they can launch hundreds of satellites, bring the rocket down, and within 40 minutes fuel up and launch another hundred satellites. 90% of the satellite launches are done by SpaceX throughout the world. So now you'd have 24 by 7x365 coverage off all kinds of satellites.
SPEAKER_01Yeah, there's uh in the networking world, there's this uh thing called N plus one, right? Um, and and it's called meaning redundancy. You have something plus one. You have a satellite that tracks Salah's location, and then you have a backup satellite. And in this case, there's probably a mesh of satellites. Um it's mesh basically and and
Always-On Constellations And Mesh
SPEAKER_01which talk to each other. So mesh is which talk to each other, share telemetry, correlate telemetry thanks to the wonderful world of AI. Um, and it it's the the we can only imagine the level of information that they were able to pick up there.
SPEAKER_00So and pattern recognize in a microsecond, in spit seconds, because just the computing power available to do that, the mathematics and the data algorithms behind it, and the AI automation behind it is just next level.
SPEAKER_01Yeah, and and look, um how do we how do we roll into it? Look, this is truly at the end of the day, a little bit about us as well, right? About the the the regular people because we have all these devices. So you and I, Vivek, were just talking about all this, and we're thinking, wait a minute, satellites, that's what Google Maps is giving me. That's what my daily map is doing. Um my device, dude. I use this every day. We're you know, are you telling me that this is listening to me? Um, my camera that I'm looking at right now as I speak to you, the microphone I'm using, uh, the mouse that I have with a laser in it that has vibrations every time I say something. And if something is looking at vibrations in the house, it's reading everything I'm saying. Not that I'm so quiet that they need to look at laser vibrations. They can probably just there's a hundred other other ways to do it. But the point is that, you know, sonic technology, tracking technology, um it's great. Uh, but look, folks, um your phone, your photos, your routines, your smart devices, they do create signals and they do create breadcrumbs. Not just what you're doing in in the cyber world, but they do um also do it on uh other areas. Now, thankfully, none of us are people of interest to the government. Um, this doesn't happen on a mask. Uh, we're no way in any way suggesting that this is happening.
What This Means For Everyday Users
SPEAKER_01Um we're talking about from a cyber warfare perspective, uh and and lots of conjecture here. We're we're coordinating a lot of different things that we see that we know about, that we we read about, you know, US Space Force posted, Wired posted. We all saw the many different videos. We saw there's even experts out there in these specific areas that are talking about, hey, here's how we believe the radar technology was utilized, whatever it may be.
SPEAKER_00Um the other thing to keep in mind is we're also looking at breadcrumbs and putting the picture together. That's right.
SPEAKER_01We're telling you a story right now.
SPEAKER_00We're telling you a story and you know uh of how it all comes together. Yeah. So, Salah, for our regular viewers, uh, do you want to give them an action checklist? Please don't be paranoids. It's bringing all the data together. Fascinating. But we wanted to share this because it's fascinating.
SPEAKER_01If you look at this just from an entertainment perspective, slight education perspective, um, there is a lot of really cool advanced tech out there. We know that the drone world is exploding um in its ability for tech. I mean, you know, we we we never talked about it on this podcast, but you know, apparently in the Northeast, there's a hundreds of unidentified flying objects in that area, slash drones, and and tons of conversations there. Hey, we we saw drones popping out of the water, we saw drones diving back into the water, we saw drones that we couldn't identify what it looked like, and drones that were moving at speeds that we didn't understand. You know, there's a lot of advanced tech out there, um, which by the way, we figured out it was announced, right? Who who and what was going on in the Northeast.
SPEAKER_00I think some of it was announced, right?
SPEAKER_01Some of it was announced. I think Palantir was one of them. I think the US government, without a doubt, took some responsibility. So it wasn't that the government didn't know. They just didn't know if they could tell you, I think.
SPEAKER_00And the third were aliens, in case you missed that.
SPEAKER_01Aliens look, um, and by the way, that's definitely my favorite one. Um the aliens are here, they're checking us out, they're looking at our behavior. That could definitely be it. But um, bringing this, grounding this back, uh, the the reality is we we uh minus the spy vibes, right? Um let's keep our devices updated. This is something as simple as just updating all your devices, constantly keep them updated. Always use your pass keys to factor. Um, I do suggest you audit location permissions. Open your phone. If you have in any suspicion that you feel like I don't like my phone tracking me for whatever personal reason, I know I don't. I turn off all location services. I'm very limited on what I allow to have location about me and when.
SPEAKER_00Yeah, like
Practical Security Habits And Wrap
SPEAKER_00WhatsApp doesn't need to know where your location is. So you turn it off.
SPEAKER_01WhatsApp doesn't need to know your frickin location. If you're Instagram someone where you are, you can tell them, you know. Yeah. Do you really need to tag your actual location with every picture that you take? Right? If you want Please don't, please don't take a picture of something, upload it to social media, and then you know, some and say I'm on vacation in Ireland and then suddenly your house in California, you know, yeah.
SPEAKER_00Gets an unsolicited visit. Please don't do it.
SPEAKER_01Yeah, avoid the real-time location stuff. Separate your home devices. Um, you know, you're you're you we all have guest Wi-Fi ability with our home device, and many of us use it. You know, maybe you separate um home your home devices by guest Wi-Fi. Maybe you put all the all the devices around your house, like your Alexa's and your outdoor cameras and stuff, put them on your guest Wi-Fi. And that way they can't listen to the conversation that you're having with your bank um on your WhatsApp or or how or your bank uh communication on your web browser.
SPEAKER_00Especially your pesky cousins when they visit you, throw them on the guest Wi-Fi, please.
SPEAKER_01Um and then, you know, coming back to the AI world is if someone, if Salah calls you and he says, Hey, I just got off the podcast, my funds are short, um, and can you please quickly Venmo me some money? You know, wait a little bit, verify it, maybe text me directly and say, Hey, are you actually calling me on FaceTime right now? Um and asking for money. Right.
SPEAKER_00Yes. And uh remember the theme, right? Um uh most pinpointing comes from multiple small cubes overlapping. Uh not one big superpower or one big thing. That's right.
SPEAKER_01All right, folks. Uh that's it this week. Um, and uh thank you for joining. I hope you find this entertaining. If there is any aspect of this that you want us to dive a little deeper on, uh happy to dive in as much as we know, as much as if we can. Visit Silent Mode Cafe, check out our chat GPT to secure yourself, ask it questions. How do I secure myself against against AI fraud, for example, and see what kind of uh advice it gives you. With that, we'll see you next time. Thank you, Vivek.
SPEAKER_00Thank you. Thanks for listening.