This Week In Security: Three Billion SS Numbers, IPv6 RCE, And Ring -2

You may have heard about a very large data breach, exposing the Social Security numbers of three billion individuals. Now hang on. Social Security numbers are a particularly American data point, and last time we checked there were quite a few Americans shy of even a half of a billion’s worth. As [Troy Hunt] points out, there are several things about this story that seem just a bit odd.

First up, the claim is that this is data grabbed from National Public Data, and there’s even a vague notice on their website about it. NPD is a legitimate business, grabbing data on as many people as possible, and providing services like background checks and credit checks. It’s not impossible that this company has records on virtually every citizen of the US, UK, and Canada. And while that’s far less than 2.9 billion people, it could feasibly add up to 2.9 billion records as was originally claimed.

The story gets strange as we consider the bits of data that have been released publicly, like a pair of files shared with [Troy] that have names, birthdays, addresses, phone numbers, and social security numbers. Those had a total of 2.69 billion records, with an average of 3 records for each ID number. That math is still just a little weird, since the US has to date only generated 450 million SSNs and change.

So far all we have are partial datasets, and claims on the Internet. The story is that there’s a grand total of 4 TB of data once uncompressed. The rest of the details are unclear, and it’s likely to take some time for the rest of the story to come out. Continue reading “This Week In Security: Three Billion SS Numbers, IPv6 RCE, And Ring -2”

Hackaday Podcast Episode 284: Laser Fault Injection, Console Hacks, And Too Much Audio

The summer doldrums are here, but that doesn’t mean that Elliot and Dan couldn’t sift through the week’s hack and find the real gems. It was an audio-rich week, with a nifty microsynth, music bounced off the moon, and everything you always wanted to know about Raspberry Pi audio but were afraid to ask. We looked into the mysteries of waveguides and found a math-free way to understand how they work, and looked at the way Mecanum wheels work in the most soothing way possible. We also each locked in on more classic hacks, Elliot with a look at a buffer overflow in Tony Hawks Pro Skater and Dan with fault injection user a low-(ish) cost laser setup. From Proxxon upgrades to an RC submarine to Arya’s portable router build, we’ve got plenty of material for your late summer listening pleasure.

Worried about attracting the Black Helicopters? Download the DRM-free MP3 and listen offline, just in case.

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Lunar Lander Game Asks You To Write A Simple Autopilot

Everyone likes a good lunar landing simulator, and [Dominic Doty] wrote a fun take on the idea: your goal is to write an autopilot controller to manage the landing. Try it out!

Virtual landers are far cheaper than real ones, thank goodness.

[Dominic] was inspired in part by this simple rocket landing game which is very much an exercise in reflex and intuition, not to mention being much faster-paced than the classic 1979 video game (which you can also play in your browser here.)

[Dominic]’s version has a similar classic look to the original, but embraces a more thoughtful approach. In it, one uses plain JavaScript to try to minimize the lander’s angle, velocity, and angular velocity in order to land safely on the generated terrain.

Want to see if you have the right stuff? Here’s a direct link to Lunar Pilot. Don’t get discouraged if you don’t succeed right away, though. Moon landings have had plenty of failures, and are actually very hard.

A Modern Take On An Old Language

Some old computer languages are destined to never die. They do, however, evolve. For example, Fortran, among the oldest of computer languages, still has adherents, not to mention a ton of legacy code to maintain. But it doesn’t force you to pretend you are using punched cards anymore. In the 1970s, if you wanted to crunch numbers, Fortran was a good choice. But there was another very peculiar language: APL. Turns out, APL is alive and well and has a thriving community that still uses it.

APL has a lot going for it if you are crunching serious numbers. The main data type is a multidimensional array. In fact, you could argue that a lot of “modern” ideas like a REPL, list types, and even functional programming entered the mainstream through APL. But it did have one strange thing that made it difficult to use and learn.

[Kenneth E. Iverson] was at Harvard in 1957 and started working out a mathematical notation for dealing with arrays. By 1960, he’d moved to IBM and a few years later wrote a book entitled “A Programming Language.” That’s where the name comes from — it is actually an acronym for the book’s title. Being a mathematician, [Iverson] used symbols instead of words. For example, to create an array with the numbers 1 to 5 in it and then print it, you’d write:

⎕←⍳5

Since modern APL has a REPL (read-eval-print loop), you could remove the box and the arrow today.

What Key Was That?

Wait. Where are all those keys on your keyboard? Ah, you’ve discovered the one strange thing. In 1963, CRTs were not very common. While punched cards were king, IBM also had a number of Selectric terminals. These were essentially computer-controlled typewriters that had type balls instead of bars that were easy to replace.

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Rebuilding The First Digital Personal Computer

When thinking of the first PCs, most of us might imagine something like the Apple I or the TRS-80. But even before that, there were a set of computers that often had no keyboard, or recognizable display beyond a few blinking lights. [Artem Kalinchuk] is attempting to recreate one of these very early digital computers, the Kenbak-1, using as many period-correct parts as possible.

Considered by many to be the world’s first personal computer, the Kenbak-1 was an 8-bit machine with 256 bytes of memory, using TTL integrated circuits for the logic as there was no commercially available microprocessor available at the time it was designed. For [Artem]’s build, most of these parts can still be sourced including the 7400-series chips and carbon resistors although the shift registers were a bit of a challenge to find. A custom PCB was built to replicate the original, and with all the parts in order it’s ready to be assembled and put into a case which was built using the drawings for the original unit.

Although [Artem] plans to build a period-correct linear power supply for this computer, right now he’s using a modern switching power supply for testing. The only other major components that are different are the status lamps, in this case switched to LEDs because he wasn’t able to source incandescent bulbs that drew low enough current, and the switches which he’s replaced with MX-style keys. We’ll stay tuned as he builds and tests this over the course of several videos, but in the meantime if you’re curious how this early computer actually worked we featured an emulator for it a while back.

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Robust Speech-to-Text, Running Locally On Quest VR Headset

[saurabhchalke] recently released whisper.unity, a Unity package that implements whisper locally on the Meta Quest 3 VR headset, bringing nearly real-time transcription of natural speech to the device in an easy-to-use way.

Whisper is a robust and free open source neural network capable of quickly recognizing and transcribing multilingual natural speech with nearly-human level accuracy, and this package implements it entirely on-device, meaning it runs locally and doesn’t interact with any remote service.

Meta Quest 3

It used to be that voice input for projects was a tricky business with iffy results and a strong reliance on speaker training and wake-words, but that’s no longer the case. Reliable and nearly real-time speech recognition is something that’s easily within the average hacker’s reach nowadays.

We covered Whisper getting a plain C/C++ implementation which opened the door to running on a variety of platforms and devices. [Macoron] turned whisper.cpp into a Unity binding which served as inspiration for this project, in which [saurabhchalke] turned it into a Quest 3 package. So if you are doing any VR projects in Unity and want reliable speech input with a side order of easy translation, it’s never been simpler.

UC Berkeley Prints Glass Nanoparticles

In a recent video, [Joel] of 3D Printing Nerd interviews a researcher at University of California, Berkeley about their work with glass 3D printing technology. A resin is impregnated with tiny glass nanoparticles and produces green parts. An oven burns away the resin and then another heating step produces the actual silica glass part. You can see a video about the process below.

As you might expect with glass, the temperatures are toasty. The first burn is at 1100 C and the fusing burn is at 1300 C. The nanoparticles are about 40 nanometers across. The resulting parts are tiny with very small feature sizes. The technology to do this has been around for a few years, and the University continues researching this form of computed axial lithograph (CAL) 3D printing. These parts are so small that it uses an adaptation called microCAL that produces much smaller parts at high precision. However, the equipment available today won’t produce very large objects. The video talks about the uses for some of these small glass items.

We wonder how much the firings in the ovens change the tiny tolerances. They obviously work, so either they account for that or it doesn’t shrink much.

If you want your own 3D printed glass, a laser system might be more practical. If you just want transparent plastic, your FDM printer can do that. Really.

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