This Week In Security: Flatpak Fixes, Android Malware, And SCADA Was IOT Before IOT Was Cool

Rowhammer attacks have been around since 2014, and mitigations are in place in most modern systems, but the team at gddr6.fail has found ways to apply the attack to current-generation GPUs.

Rowhammer attacks attach the electrical characteristics of RAM, using manipulation of the contents of RAM to cause changes in the contents of adjacent memory cells. Bit values are just voltage levels, after all, and if a little charge leaks across from one row to the next, you can potentially pull a bit high by writing repeatedly to its physical neighbors.

The attack was used to allow privilege escalation by manipulating the RAM defining the user data, and later, to allow reading and manipulation of any page in ram by modifying the system page table that maps memory and memory permissions. By 2015 researchers refined the attack to run in pure JavaScript against browsers, and in 2016 mobile devices were shown to be vulnerable. Mitigations have been put in place in physical memory design, CPU design, and in software. However, new attack vectors are still discovered regularly, with DDR4 and DDR5 RAM as well as AMD and RISC-V CPUs being vulnerable.

The GDDR6-Fail attack targets the video ram of modern graphics cards, and is able to trigger similar vulnerabilities in the graphics card itself, culminating in accessing and changing the memory of the PC via the PCI bus and bypassing protections.

For users who fear they are at risk — most likely larger AI customers or shared hosting environments where the code running on the GPU may belong to untrusted users — enabling error correcting (ECC) mode in the GPU reduces the amount of available RAM, but adds protection by performing checksums on the memory to detect corruption or bit flipping. For the average home user, your mileage may vary – there’s certainly easier ways to execute arbitrary code on your PC – like whatever application is running graphics in the first place!

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TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of parameters, times N bits per parameter, equals N-billion bits of storage required for a full model. Since increasing the number of parameters makes the models appear smarter, correspondingly the size of these models and their associated caches has been increasing rapidly.

Vector quantization (VQ) is a method that can compress the vectors calculated during inference to take up less space without significant loss of data. Google’s recently published pre-print paper on TurboQuant covers an LLM-oriented VQ algorithm that’s claimed to provide up to a 6x compression level with no negative impact on inference times.

The tokens aren’t directly encoded in the vector space, but their associated key value is, which along with the single token per inference process creates the need for a key-value (KV) cache, the size of which scales with the size of the model. Thus by compressing the KV cache using VQ, it will reduce its size and correspondingly speed up look-ups due to the smaller size in memory. One catch here is that VQ is due to the nature of quantization some accuracy will be lost. The trick here is thus to apply VQ in such a way that it does not affect this accuracy in a noticeable manner.

Other aspects that had to be taken into account by the TurboQuant algorithm was fast computation to keep up with real-time requirements, along with compatibility with so-called ‘AI accelerator’ hardware.

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AI For The Skeptics: Pick Your Reasons To Be Excited

It’s odd being a technology writer in 2026, because around you are many people who will tell you that your craft is outdated. Like the manufacturers of buggy-whips at the turn of the twentieth century, the automobile (in the form of large language model AI) is on the market, and your business will soon be an anachronism. Adapt or go extinct, they tell you. It’s an argument I’ve found myself facing a few times over the last year in my wandering existence, and it’s forced me to think about it. What are the reasons everyone is excited about AI and are those reasons valid, what is there to be scared of, and what are the real reasons people should be excited about it?

If We Gotta Take This Seriously, How Can We Do It?

A couple in a horse drawn buggy, circa 1900ish
The futures looking bright in the buggy-whip department! Public domain.

I’ll start by repeating my tale from a few weeks ago when I asked readers what AI applications would survive when the hype is over. The reaction of a friend with decades of software experience on trying an AI coding helper stuck with me; she referenced her grandfather who had been born in rural America in the closing years of the nineteenth century, and recalled him describing the first time he saw an automobile. I agree with her that this has the potential to be a transformative technology, and while it’s entertaining to make fun of its shortcomings as I did three years ago when the idea of what we now call vibe coding first appeared, it’s already making itself useful in some applications. Simply dismissing it is no longer appropriate, but equally, drinking freely of the Kool-Aid seems like joining yet another hype bandwagon that will inevitably derail. A middle way has to be found. Continue reading “AI For The Skeptics: Pick Your Reasons To Be Excited”

2026 Hackaday Europe: First Round Of Speakers Announced!

Hackaday Europe is the continental version of the Ultimate Hardware Conference, taking place May 16th and 17th, and you need to be there! We’ll continue to announce speakers and workshops over the next couple weeks, because we got so many more great talks than we had anticipated that we’re negotiating for extra time.

This year, we’re moving to a new venue in Lecco, Italy, and it’s sure to be fantastic. Get your tickets now before it’s too late. And stay tuned for another round of talk reveals next week!

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CCA Ethernet Cables: Not Up To Scratch, But Are They Dangerous?

If you’ve ever bought a suspiciously cheap Ethernet cable from an online listing, there’s a decent chance you’ve encountered Copper Clad Aluminum. Better known as CCA, it’s exactly what it sounds like—an aluminium conductor with a thin skin of copper deposited on the outside. Externally, cables made with this material look largely like any other, with perhaps the only obvious tell being that they feel somewhat lighter in the hand.

CCA is cheaper than proper copper cabling, and it conducts signals well enough to function in an Ethernet cable. And yet, it’s a prime example of corner-cutting that keeps standards bodies and professional installers up at night. But just how dangerous is this silent scourge, found lurking in so many network cabinets around the world?

Not Up To Scratch

CCA wire is typically made by wrapping an aluminium core with copper strip and then extruding it through a die. Credit: USPTO

Everything you need to know about CCA is in the name—it refers to an aluminium wire with a thin copper cladding, typically applied through a die extrusion process. The reasoning behind this exploits a real physical phenomenon called the skin effect, wherein higher-frequency AC signals tend to travel along the outer surface of a conductor. The idea goes that since most of the current moves through the outer copper skin layer anyway, the less-conductive aluminium core doesn’t unduly impact the wire’s performance. Using copper-clad aluminium wiring is, in theory, desirable because aluminium is much cheaper than copper, which can really add up over long cable runs. Imagine you’re wiring a building with with hundreds of miles of Ethernet cabling, all with eight conductors each—the savings add up pretty quickly.

There’s a problem with CCA cabling in these contexts, though. Due to prevailing cabling standards, any cable made with CCA is technically not even a real Ethernet cable at all. The relevant documents are unambiguous.

ANSI/TIA-568.2-D requires conductors in Category-rated cable to be solid or stranded copper. No other materials are acceptable, and thus CCA is explicitly excluded from use in Category cable applications. A cable with CCA conductors cannot legitimately carry a Cat5e, Cat6, or any related designation under any circumstances. Similarly, ISO/IEC 11801 has the same requirement. The U.S. National Electrical Code also states that conductors in communications cables, other than coaxial cable, shall be copper. This isn’t a suggestion or a best practice; it’s the letter of the code. Anything lesser is simply not allowed. Continue reading “CCA Ethernet Cables: Not Up To Scratch, But Are They Dangerous?”

In Space (Probably) Everyone Can Hear You.. Well, You Know

The news is full of reports from the moon-bound Integrity, otherwise known as Artemis II. Mostly, the news is good, but there has been one “Houston, we have a problem…” moment. The space toilet, otherwise known as the Universal Waste Management System or UWMS is making a burning smell while in use. While we would love to be astronauts, we really don’t want to go ten days without using the can, and it made us wonder how, exactly, the astronauts answered the call of nature.

The Old Days

Back in the Apollo-era, going to the bathroom was a messy business. The capsule wasn’t that big, and there were no women on board. So you simply strapped an adhesive-rimmed bag or tube to yourself and answered nature’s call with your two closest coworkers right there.

Space Shuttle facilities (by [Svobodat] CC BY-SA 3.0)
To add insult to injury, the “#2 bags” needed some packet mixed in to keep it from going bad in the bag before it could return to Earth for — no kidding — scientific study.

The system was far from perfect. Apollo 8 and Apollo 10 both had to do some housekeeping due to leaky bags.

Astronaut Ken Mattingly reportedly said, “Man, one of the feats of my existence the other day was, in 42 minutes, I strapped on a bag, went out of both ends, and ate lunch…. I used to want to be the first man to Mars. This has convinced me that, if we got to go on Apollo, I ain’t interested.”

Still, it was better than the first Mercury launch, where Alan Shepard famously relieved himself in his spacesuit while sitting on the pad for over eight hours. Later missions used hoses.

Things got slightly better with Skylab, where there was more room. The Shuttle also had a toilet. You got a curtain for privacy, but you couldn’t go #1 and #2 at the same time. Also, apparently, the contraptions were not easily workable for females.

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With Affordable Storage Options Dwindling, Where To Store Our Data?

These days our appetite for more data storage is larger than ever, with video files larger, photo resolutions higher, and project files easily zipping past a few hundred MB. At the same time our options for data storage are becoming more and more limited. For the longest time we could count on there always being a newer, roomier, faster, and cheaper form of storage to come along, but those days would seem to be over.

We can look back and laugh at low capacity USB Flash drives of the early 2000s, yet the first storage drive to hit 1 TB capacity did so in 2007, with a Hitachi Deskstar 7k100, only for that level of capacity in PCs to not really be exceeded nineteen years later.

We also had Blu-ray discs (BD) promise to cram the equivalent of dozens of DVDs onto a single BD, with two- and even four-layer BDs storing up to a one-hundred-and-twenty-eight GB. Yet today optical media is dying a slow death as the sole remaining cheap storage option. NAND Flash storage has only increased in price, and the options for those of us who have large cold storage requirements would seem to be decreasing every day.

So what is the economical solution here? Invest in LTO tapes using commercial left-overs, or give up and sign up for Cloud Storage™ for the low-low price of a monthly recurring fee?

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