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    Unsupervised Learning

    Unsupervised Learning is about ideas and trends in Cybersecurity, National Security, AI, Technology, and Culture—and how best to upgrade ourselves to be ready for what’s coming.

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    Copyright: © 2024 Daniel Miessler

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    Latest Episodes:
    Machine Learning Doesn’t Introduce Unfairness—It Reveals It Jul 25, 2019
    Show notes

    The difference between unfairness and bias in machine learning.

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    Unsupervised Learning: No. 187 Jul 22, 2019
    Show notes

    Lots of people in the security community went silly over the FaceApp application last week, basically saying that you shouldn't be using the application because they'll steal your face and then be able to impersonate you. Oh, and then it turned out to be a Russian company who put out the application, and that made it 100x worse. The problem here is the lack of Threat Model Thinking. When it comes to election security, propaganda discussions, etc., I am quite concerned about Putin's willingness and ability to harm our country's cohesion through memes and social media. But that does not extend to some random company stealing faces. Why? Because before you can get legitimately concerned about something, you have to be able to describe a threat scenario in which that thing becomes dangerous. As I talked about in this piece, pictures of your face are not the same as your face when it comes to biometric authentication. There's a reason companies need a specific device, combined with their custom algorithm, in order to enroll you in a facial identification system. They scan you in a very specific way and then store your data (which is just a representation, not your actual face) in a very specific way. Then they need to use that same exact system to scan you again, so they can compare the two representations to each other. That isn't happening with random apps that have pictures of you. And even if that were the case, they could just get your face off your social media, where those same people who are worried are more than happy to take selfies, put their pictures on profile pictures, and make sure as many people see them as possible. There are actual negative things that can be done with images (like making Deepfakes of you), and that will get easier over time, but the defense for that is to have zero pictures of you…anywhere. And once again you have to ask who would be doing that to you, and why. Bottom line: authentication systems take special effort to try to ensure that the input given is the same as the enrollment item, e.g., (face, fingerprint, etc.), so it will not be easy any time soon to go from a random picture to something that can full a face scanner or fingerprint reader at the airport. People reading this probably already know this, but spread the word: threat modeling is one of our best tools for removing emotion from risk management.
    A contractor named SyTech that does work with Russian FSB has been breached, resulting in the release of 7.5TB of data on the FSB's various projects. This is obviously embarrassing for SyTech and the FSB, but the leaked projects focused on de-anonymization, spying on Russian businesses, and the project to break Russia away from the Internet, which are all known and expected efforts. So there don't seem to be any big reveals as a result of the leak. More
    Someone discovered that a bunch of browser extensions were reading things they shouldn't be, and sending them out to places they shouldn't be. This is not surprising to me. Chrome extensions are like Android apps, which should tell you all you need to know about installing random ones that seem interesting. My policy on browser extensions is extremely strict for this reason. People need to understand how insane the entire idea of the modern web is. We're visiting URLs that are executing code on our machines. And not just code from that website, but code from thousands of other websites in an average browsing session. It's a garbage fire. And the only defense really is to question how much you trust your browser, your operating system, and the original site you're visiting. But even then you're still exposing yourself to significant and continuously-evolving risk when you run around clicking things online. And the worst possible thing you can do in this situation is install more functionality, which gives more parties, more access, to that giant stack of assumptions you're making just by using a web browser. The best possible stance is to have as few people possible with access to your particular dumpster. And that means installing as few highly-vetted add-ons as possible. More

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    Time Speeds Up When You’re Wasting It Jul 20, 2019
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    An essay on why time can feel like it's speeding up when you get older, and how to slow it back down.

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    Unsupervised Learning: No. 186 Jul 15, 2019
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    Parts of Manhattan had a power outage Saturday night, which happened to be the anniversary of another power outage in 1977. The power company apologized but didn't explain what happened. The hacker in me thinks this could easily be a probing shot by a sophisticated attacker, or a fun prank by amateurs. But the overwhelming odds are on simple failure. Either way, this country needs to get a whole lot more resilient to small attacks, because enough small ones can quickly become a big one. More
    Zoom has had a bad week or two. Not only did it have a major vuln, but it turned out to be part of the design, and they moved relatively slowly in addressing it, and then companies started auto-uninstalling it from their OS. They had a lot of momentum going in the space, too. This will sting for sure. More
    Facebook will be fined $5 billion over its various privacy catastrophes. More
    Marriott is being fined $124 million over the Starwood breach. Real question: how does that compare to their coffee budget? More

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    Unsupervised Learning: No. 185 Jul 08, 2019
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    The Telegraph has found strong links between Huawei employees and Chinese intelligence agencies. The Huawei counter was that this was extremely common among telecom companies, and that it wasn't a big deal. The counter to that counter was, basically, "Well, then why did you try to hide it?" /gg More
    The NPM security team caught a malicious package designed to steal cryptocurrency. A lot of these packages work by uploading something useful, waiting until it's used by lots of people, and then updating it to have the malicious payload. My buddy Andre Eleuterio did the IR on the situation there at NPM, and said they're constantly improving their ability to detect these kinds of attacks. Luckily NPM's security team had the talent and tooling to detect such a thing, but think of how many similar companies aren't so equipped. I think any team that's part of a supply chain should be thinking about this type of attack very seriously. More
    Federal agents are mining state DMV photos to feed their facial recognition systems, and they're doing it without proper authorizations or consent. To me this has always been inevitable because—as Benedict Evans pointed out—it's a natural extension of what humans already do. You already have wanted posters. You already have known suspects lists. And it's already ok for any citizen or any cop to see any person on that list and report them. In fact it's not just possible, it's encouraged. So the only thing happening here is that process is becoming a whole lot more aware (through more sensors), and therefore more effective. Of course, any broken algorithms that identify the wrong people, or automatically single out groups of people without actual matches, those issues need to be snuffed out for sure. But we can't expect society to not use superior machine alternatives to existing human processes, such as identifying suspects in public. That just isn't realistic. Our role as security people should be making sure these systems are as accurate as possible, with as little bias as possible, by the best possible people. In other words, we should spend our cycles improving reality, not trying to stop it from happening. More

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    The World is Collapsing Into Two Countries—Green and Red Jul 03, 2019
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    The world being sorted into two different countries—a Green country of the top 10% of income/wealk, and a Red country that's everyone else. These countries are separated not by geography, but by class.

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    Unsupervised Learning: No. 184 Jul 01, 2019
    Show notes

    I created a new tutorial on OWASP Amass, and just joined the team as a contributor as well. Tutorial
    Chinese hacking groups have been embedded deep inside multiple major US tech firms for many years, including Fujitsu, Tata, NTT, Dimension Data, and HPE. The first thing you should be thinking is where else they are today. More
    Amazon is getting heavier into the SIEM space (and perhaps others) with their new Amazon Security Hub offering. It takes in lots of event types from various AWS services, and surfaces what it thinks is most important. Of course, it doesn't do this for other product types, i.e., non-AWS stuff, but that could come eventually. More
    Amazon also launched a new service that lets you monitor your AWS VPC traffic. And lots of vendors are announcing their support for it. More

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    Unsupervised Learning: No. 183 Jun 24, 2019
    Show notes

    There's a Linux vulnerability called SACK Panic (among other names) that takes advantage of a kernel feature called Selective ACK. The feature lets systems tell the other side of the conversation how much data it's received, and it turns out it can be overflowed or fuzzed. The former creates a crash, and the latter creates a slowdown. You should patch. And if you have any services facing the internet running Linux, you should definitely patch. More
    A Florida city paid $600,000 in bitcoin to get access to their data back from a ransomware gang. More
    Magic Leap is suing former engineer Chi Xu for allegedly using his knowledge of the headset to make a version for China. More
    The average security group is running over 50 security tools. As my friend Jeremiah once said when looking at a Momentum Partners slide, "Are we secure yet?" More
    Amazon just got a patent for using delivery drones for surveillance. I don't necessarily think that means they'll use delivery drones for surveillance though. That's what a lot of the conspiracy theorists will say, though—just based on them getting a patent for using delivery drones for surveillance. Actually, the patent is a bit more benign than my joke implies. It's designed to monitor opted-in people's property, a lot like a house camera or a Ring device. Makes sense. But still. More

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    Unsupervised Learning: No. 182 Jun 18, 2019
    Show notes

    The US is supposedly ramping up attacks against Russian power grid through the use of new cyberattack powers granted by Trump. I am happy to hear of this, but it's an example of where we as outsiders can only know a tiny fragment of the story. But any signs that this administration sees Russia as a foe, and are treating it as such, are positive in my view. More
    Adobe is entering the deepfakes arena by showing off research tools designed to detect manipulated photos. More
    Target stores have been hit by major outages. More
    Many places are using very granular bluetooth beacon tracking to watch you move throughout their businesses, including airports, malls, subways, buses, gyms, hotels, festivals, museums, etc. More
    The US is going after ethnic Chinese researchers in the medical field, and specifically at cancer centers. I'm all for becoming more aggressive towards the Chinese government pilfering the world's intellectual property, but, um, cancer research is one thing that I think it's ok to spread widely. It's not like they're stealing the only copy of the research; they're just sharing it. Maybe I'm missing something, but if that something is just about who makes the profit, then I'm calling Meh. More
    Firewalling outbound DNS could save companies billions. Yes! I've been on about this for years. More

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    Unsupervised Learning: No. 181 Jun 11, 2019
    Show notes

    Some absolutely fascinating research has just come out on what percentages and types of vulnerabilities are actually exploited in the wild. It found that only 5.5% of vulnerabilities discovered between 2009 and 2018 were actually exploited, with most of those being issues with a CVSS score of 9 or 10. The best part of the paper, however, was a discussion of optimal patching strategies, where they looked at different methodologies for what to patch and measured them against each other based on coverage (no misses) and efficiency (not patching what you don't have to). Options included patching by CVSS, whether or not there are public exploits, by vulnerability tags, etc. The ML model performed best, but it seemed that patching the CVSS 7 and above was decent as well, and for more efficiency but less coverage—CVSS 9 and above. Super interesting paper. More
    The US is going to start requiring 5 years of social media account history from Visa applicants, as part of the filtering process. I'm genuinely curious as to how effective this is going to be. On the one hand, there will now be a market for creating and maintaining fake social media accounts that people can use for this purpose. But on the other hand, there will be many who don't want to go to that effort and either won't try to come, or will get caught in the filter. As with most things, the efficacy will come down to execution. More
    A team at Stanford has made it possible to edit video using a text editor. So, editing the things that were said by the actual subject, to say something else entirely, but having it seamlessly injected into the video so it looks completely natural. More

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