Lock and Code

There’s a bizarre thing happening online right now where everything is getting worse.Your Google results have become so bad that you’ve likely typed what you’re looking for, plus the word “Reddit,” so you can find discussion from actual humans. If you didn’t take this route, you might get served AI results from Google Gemini, which once recommended that every person should eat “at least one small rock per day.” Your Amazon results are a slog, filled with products that have surreptitiously paid reviews. Your Facebook feed could be entirely irrelevant because the company decided years ago that you didn’t want to see what your friends posted, you wanted to see what brands posted, because brands pay Facebook, and you don’t, so brands are more important than your friends.But, according to digital rights activist and award-winning author Cory Doctorow, this wave of online deterioration isn’t an accident—it’s a business strategy, and it can be summed up in a word he coined a couple of years ago: Enshittification.Enshittification is the process by which an online platform—like Facebook, Google, or Amazon—harms its own services and products for short-term gain while managing to avoid any meaningful consequences, like the loss of customers or the impact of meaningful government regulation. It begins with an online platform treating new users with care, offering services, products, or connectivity that they may not find elsewhere. Then, the platform invites businesses on board that want to sell things to those users. This means businesses become the priority and the everyday user experience is hindered. But then, in the final stage, the platform also makes things worse for its business customers, making things better only for itself.This is how a company like Amazon went from helping you find nearly anything you wanted to buy online to helping businesses sell you anything you wanted to buy online to making those businesses pay increasingly high fees to even be discovered online. Everyone, from buyers to sellers, is pretty much entrenched in the platform, so Amazon gets to dictate the terms.Today, on the Lock and Code podcast with host David Ruiz, we speak with Doctorow about enshittification’s fast damage across the internet, how to fight back, and where we can lay blame for where it all started.”Once these laws were established, the tech companies were able to take advantage of them. And today we have a bunch of companies that aren’t tech companies that are nevertheless using technology to rig the game in ways that the tech companies pioneered.”Tune in today.

There’s an entire surveillance network popping up across the United States that has likely already captured your information, all for the non-suspicion of driving a car.Automated License Plate Readers, or ALPRs, are AI-powered cameras that scan and store an image of every single vehicle that passes their view. They are mounted onto street lights, installed under bridges, disguised in water barrels, and affixed onto telephone poles, lampposts, parking signs, and even cop cars.Once installed, these cameras capture a vehicle’s license plate number, along with its make, model, and color, and any identifying features, like a bumper sticker, or damage, or even sport trim options. Because nearly every ALPR camera has an associated location, these devices can reveal where a car was headed, and at what time, and by linking data from multiple ALPRs, it’s easy to determine a car’s daylong route and, by proxy, it’s owner’s daily routine.This deeply sensitive information has been exposed in recent history.In 2024, the US Cybersecurity and Information Security Agency discovered seven vulnerabilities in cameras made by Motorola Solutions, and at the start of 2025, the outlet Wired reported that more than 150 ALPR cameras were leaking their live streams.But there’s another concern with ALPRs besides data security and potential vulnerability exploits, and that’s with what they store and how they’re accessed.ALPRs are almost uniformly purchased and used by law enforcement. These devices have been used to help solve crime, but their databases can be accessed by police who do not live in your city, or county, or even state, and who do not need a warrant before making a search.In fact, when police access the databases managed by one major ALPR manufacturer, named Flock, one of the few guardrails those police encounter is needing to type a single word in a basic text box. When Electronic Frontier Foundation analyzed 12 million searches made by police in Flock’s systems, they learned that police sometimes filled that text box with the word “protest,” meaning that police were potentially investigating activity that is protected by the First Amendment.Today, on the Lock and Code podcast with host David Ruiz, we speak with Will Freeman, founder of the ALRP-tracking project DeFlock Me, about this growing tide of neighborhood surveillance and the flimsy protections afforded to everyday people.“License plate readers are a hundred percent used to circumvent the Fourth Amendment because [police] don’t have to see a judge. They don’t have to find probable cause. According to the policies of most police departments, they don’t even have to have reasonable suspicion.”Tune in today.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod...

This is the story of the world’s worst scam and how it is being used to fuel entire underground economies that have the power to rival nation-states across the globe. This is the story of “pig butchering.”“Pig butchering” is a violent term that is used to describe a growing type of online investment scam that has ruined the lives of countless victims all across the world. No age group is spared, nearly no country is untouched, and, if the numbers are true, with more than $6.5 billion stolen in 2024 alone, no scam might be more serious today, than this.Despite this severity, like many types of online fraud today, most pig-butchering scams start with a simple “hello.”Sent through text or as a direct message on social media platforms like X, Facebook, Instagram, or elsewhere, these initial communications are often framed as simple mistakes—a kind stranger was given your number by accident, and if you reply, you’re given a kind apology and a simple lure: “You seem like such a kind person… where are you from?”Here, the scam has already begun. Pig butchers, like romance scammers, build emotional connections with their victims. For months, their messages focus on everyday life, from family to children to marriage to work.But, with time, once the scammer believes they’ve gained the trust of their victim, they launch their attack: An investment “opportunity.”Pig butchers tell their victims that they’ve personally struck it rich by investing in cryptocurrency, and they want to share the wealth. Here, the scammers will lead their victims through opening an entirely bogus investment account, which is made to look real through sham websites that are littered with convincing tickers, snazzy analytics, and eye-popping financial returns.When the victims “invest” in these accounts, they’re actually giving money directly to their scammers. But when the victims log into their online “accounts,” they see their money growing and growing, which convinces many of them to invest even more, perhaps even until their life savings are drained.This charade goes on as long as possible until the victims learn the truth and the scammers disappear. The continued theft from these victims is where “pig-butchering” gets its name—with scammers fattening up their victims before slaughter.Today, on the Lock and Code podcast with host David Ruiz, we speak with Erin West, founder of Operation Shamrock and former Deputy District Attorney of Santa Clara County, about pig butchering scams, the failures of major platforms like Meta to stop them, and why this global crisis represents far more than just a few lost dollars.“It’s really the most compelling, horrific, humanitarian global crisis that is happening in the world today.”Tune in today.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/Outro Music: “Good God” by Wowa...

It’s often said online that if a product is free, you’re the product, but what if that bargain was no longer true? What if, depending on the device you paid hard-earned money for, you still became a product yourself, to be measured, anonymized, collated, shared, or sold, often away from view?In 2024, a consumer rights group out of the UK teased this new reality when it published research into whether people’s air fryers—seriously–might be spying on them.By analyzing the associated Android apps for three separate air fryer models from three different companies, researchers learned that these kitchen devices didn’t just promise to make crispier mozzarella sticks, crunchier chicken wings, and flakier reheated pastries—they also wanted a lot of user data, from precise location to voice recordings from a user’s phone.As the researchers wrote:“In the air fryer category, as well as knowing customers’ precise location, all three products wanted permission to record audio on the user’s phone, for no specified reason.”Bizarrely, these types of data requests are far from rare.Today, on the Lock and Code podcast, we revisit a 2024 episode in which host David Ruiz tells three separate stories about consumer devices that somewhat invisibly collected user data and then spread it in unexpected ways. This includes kitchen utilities that sent data to China, a smart ring maker that published de-identified, aggregate data about the stress levels of its users, and a smart vacuum that recorded a sensitive image of a woman that was later shared on Facebook.These stories aren’t about mass government surveillance, and they’re not about spying, or the targeting of political dissidents. Their intrigue is elsewhere, in how common it is for what we say, where we go, and how we feel, to be collected and analyzed in ways we never anticipated.Tune in today.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/Outro Music: “Good God” by Wowa (unminus.com)Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it.Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium for Lock and Code listeners.

Everything’s easier with AI… except having to correct it.In just the three years since OpenAI released ChatGPT, not only has onlife life changed at home—it’s also changed at work. Some of the biggest software companies today, like Microsoft and Google, are forwarding a vision of an AI-powered future where people don’t write their own emails anymore, or make their own slide decks for presentations, or compile their own reports, or even read their own notifications, because AI will do it for them.But it turns out that offloading this type of work onto AI has consequences.In September, a group of researchers from Stanford University and BetterUp Labs published findings from an ongoing study into how AI-produced work impacts the people who receive that work. And it turns out that the people who receive that work aren’t its biggest fans, because it it’s not just work that they’re having to read, review, and finalize. It is, as the researchers called it, “workslop.”Workslop is:“AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task. It can appear in many different forms, including documents, slide decks, emails, and code. It often looks good, but is overly long, hard to read, fancy, or sounds off.”Far from an indictment on AI tools in the workplace, the study instead reveals the economic and human costs that come with this new phenomenon of “workslop.” The problem, according to the researchers, is not that people are using technology to help accomplish tasks. The problem is that people are using technology to create ill-fitting work that still requires human input, review, and correction down the line.“The insidious effect of workslop is that it shifts the burden of the work downstream, requiring the receiver to interpret, correct, or redo the work,” the researchers wrote.Today, on the Lock and Code podcast with host David Ruiz, we speak with Dr. Kristina Rapuano, senior research scientist at BetterUp Labs, about AI tools in the workplace, the potential lost productivity costs that come from “workslop,” and the sometimes dismal opinions that teammates develop about one another when receiving this type of work.“This person said, ‘Having to read through workshop is demoralizing. It takes away time I could be spending doing my job because someone was too lazy to do theirs.'”Tune in today.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/Outro Music: “Good God” by Wowa (unminus.com)Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it.Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes...