Your average 3D printer is just a nozzle shooting out hot plastic while being moved around by a precise robotic mechanism. There’s nothing stopping you replacing the robot and moving around the plastic-squirting nozzle yourself. That’s precisely what [3D Sanago] did to produce this cute little robot.

The beginning of the video sets the tone. “First we create the base that will become the robot vacuum’s body,” explains [3D Sanago]. “I quickly and precisely make a 15 x 15 cm square almost as if I were a 3D printer.” It’s tedious and tiring to move the 3D printing pen through the motions to build simple parts, but that’s the whole gimmick here. What’s wild is how good the results are. With the right post-processing techniques using an iron, [3D Sanago] is able to produce quite attractive plastic parts that almost justify the huge time investment.

The robot itself works in a fairly straightforward fashion. It’s got four gear motors driving four omniwheels, which let it pan around in all directions with ease. They’re under command of an Arduino Uno paired with a multi-channel motor driver board. The robot also has a servo-controlled arm for moving small objects. The robot lacks autonomy. Instead, [3D Sanago] gave it a wireless module so it could be commanded with a PS4 controller. Despite being referred to as a “robot vacuum,” it’s more of a general “cleaning robot” since it only has an arm to move objects, with no actual vacuum hardware. It’s prime use? Picking up socks.

We’ve seen [3D Sanago]’s fine work before, too. Video after the break.

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If you have never heard of the Bellmac-32, you aren’t alone. But it is a good bet that most, if not all, of the CPUs in your devices today use technology pioneered by this early 32-bit CPU. The chip was honored with the IEEE Milestone award, and [Willie Jones] explains why in a recent post in Spectrum.

The chip dates from the late 1970s. AT&T’s Bell Labs had a virtual monopoly on phones in the United States, but that was changing, and the government was pressing for divestiture. However, regulators finally allowed Bell to enter the computing market. There was only one problem: everyone else had a huge head start.

There was only one thing to do. There was no point in trying to catch the leaders. Bell decided to leap ahead of the pack. In a time when 8-bit processors were the norm and there were nascent 16-bit processors, they produced a 32-bit processor that ran at a — for the time — snappy 2 MHz.

At the time (1978), most chips used PMOS or NMOS transistors, but Bellmac-32 used CMOS and was made to host compiled C programs. Problems with CMOS were often addressed using dynamic logic, but Bell used a different technique, domino logic, to meet their goals.

Domino logic lets devices cascade like falling dominoes in between clock pulses. By 1980, the device reached 2 MHz, and a second generation could reach speeds of up to 9 MHz. For contrast, the Intel 8088 from 1981 ran at 4.77 MHz and handled, at most, half the data in a given time period as the Bellmac-32. Of course, the 68000 was out a year earlier, but you could argue it was a 16-bit CPU, despite some 32-bit features.

It is fun to imagine what life would be like today if we had fast 32-bit Unix machines widely available in the early 1980s. History has shown that many of Bellmac’s decisions were correct. CMOS was the future. Many of the design and testing techniques would go on to become standard operating procedure across the industry. But, as for the Bellmac-32, it didn’t really get the attention it deserved. It did go on in the AT&T 3B computers as the WE 32×00 family of CPUs.

You can check out a 1982 promo video about the CPU below, which also explains domino logic. Instruction sets have changed a bit since then. You can see a 68000 and 8086 face off, and imagine how the Bellmac would have done in comparison.

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For all the remarkable improvements we’ve seen in desktop 3D printers, metal printers have tended to stay out of reach for hackers, mostly because they usually rely on precise and expensive laser systems. This makes it all the more refreshing to see [Dan Gelbart]’s demonstration of Rapidia’s cast-to-sinter method, which goes from SLA prints to ceramic or metal models.

The process began by printing the model in resin, scaled up by 19% to account for shrinkage. [Dan] then used the resin print to make a mold out of silicone rubber, after first painting the model to keep chemicals from the resin from inhibiting the silicone’s polymerization. Once the silicone had set, he cut the original model out of the mold and prepared the mold for pouring. He made a slurry out of metal powder and a water-based binder and poured this into the mold, then froze the mold and its contents at -40 ℃. The resulting mixture of metal powder and ice forms a composite much stronger than pure ice, from which [Dan] was able to forcefully peel back the silicone mold without damaging the part. Next, the still-frozen part was freeze-dried for twenty hours, then finally treated in a vacuum sintering oven for twelve hours to make the final part. The video below the break shows the process.

A significant advantage of this method is that it can produce parts with much higher resolution and better surface finish than other methods. The silicone mold is precise enough that the final print’s quality is mostly determined by the fineness of the metal powder used, and it’s easy to reach micron-scale resolution. The most expensive part of the process is the vacuum sintering furnace, but [Dan] notes that if you only want ceramic and not metal parts, a much cheaper ceramic sintering oven will work better.

We’ve seen sintering-based metal printers a few times before, as well a few more esoteric methods. We’ve also covered a few of [Dan]’s previous videos on mechanical prototyping methods and building a precision CNC lathe.

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Thanks to [Eric R Mockler] for the tip!

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Sometimes it’s nice to have a widget to do a single task and avoid getting distracted by the supposed simplicity of doing it with an app on a smartphone. [Dina Amin] built a timer from an old flip clock to stay focused.

Starting with a disassembly of the flip clocks she found at a flea market with [Simone Giertz], [Amin] decided to change the twenty four hour mechanism to a twenty four minute one which was similar to the amount of time she was already using for several different practices. Since she’s an expert in animation, she planned on turning a set of CT scans into the animation that would play on the section that had previously been the minutes of the clock.

As much of the original clock’s components were damaged, and [Amin] didn’t have a chance to learn clockmaking from scratch in a week, she tried a few different drive mechanisms for the build. The drum from an air fryer timer driven with an electric motor fit the bill, but off enough from proper minutes that [Amin] switched from numerals to a yellow circle that fills in as it approaches the satisfying ding of completion.

If you want to see Simone’s Moon flip clock we’ve covered that project too.

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hackaday.com/2025/06/06/a-flip…

L’FBI ha riferito che la botnet Android BadBox 2.0 ha già infettato oltre 1 milione di dispositivi in ​​tutto il mondo. Gli attacchi includono decoder TV, tablet, smart TV, smartphone e così via, che il malware trasforma in proxy residenziali.

“La botnet BadBox 2.0 è composta da milioni di dispositivi infetti e contiene molteplici backdoor verso proxy che i criminali informatici utilizzano per vendere o fornire accesso gratuito a reti domestiche compromesse da utilizzare per una serie di attività criminali”, avverte l’FBI.

Ricordiamo che BadBox è un malware per Android basato sul codice della famiglia di malware Triada. Spesso, il malware può essere preinstallato su dispositivi economici fin da subito, e infettarli anche tramite aggiornamenti e applicazioni dannose che a volte penetrano in Google Play e negli store di terze parti.

Il malware viene utilizzato per rubare dati, installare altro malware e consente agli aggressori di ottenere l’accesso remoto alla rete in cui si trova il gadget infetto. “I criminali informatici ottengono l’accesso non autorizzato alle reti domestiche dotando i dispositivi di malware prima che vengano acquistati dall’utente o infettandoli durante il download di applicazioni necessarie contenenti backdoor, cosa che di solito avviene durante la configurazione”, spiega l’FBI. “Una volta che i dispositivi IoT compromessi si connettono alle reti domestiche, diventano parte della botnet BadBox 2.0 e dei proxy residenziali, comunemente utilizzati per attività dannose”.

Come già segnalato dagli esperti di sicurezza, BadBox è in grado di rubare codici di autenticazione a due fattori, installare altro malware e creare nuovi account di posta elettronica e di messaggistica istantanea per diffondere notizie false. Inoltre, gli operatori di BadBox sono associati a frodi pubblicitarie e i dispositivi infetti vengono utilizzati come proxy residenziali. Sono noti anche casi in cui gli aggressori hanno utilizzato gli indirizzi IP delle vittime per accedere agli account di altre persone utilizzando credenziali rubate.

Ricordiamo che BadBox è stato scoperto per la prima volta nel 2023 dal ricercatore indipendente di sicurezza informatica Daniel Milisic, il quale notò che su Amazon venivano venduti decoder Android T95 infettati da malware complessi fin dal primo momento.

Alla fine del 2024, le forze dell’ordine tedesche hanno tentato di disattivare parte della botnet BadBox. Tuttavia, i ricercatori di BitSight hanno subito segnalato che l’operazione ha avuto un impatto minimo sul suo funzionamento. Entro la fine di dicembre, la botnet contava nuovamente oltre 192.000 dispositivi infetti in tutto il mondo.

Questa primavera, Human Security ha guidato una nuova operazione per combattere la botnet, in collaborazione con Google, Trend Micro, la Shadowserver Foundation e altri esperti. Con la botnet che ha nuovamente registrato una rapida crescita, raggiungendo quasi un milione di dispositivi IoT infetti, i ricercatori l’hanno chiamata BadBox 2.0.

“Questa campagna ha colpito oltre 1 milione di dispositivi consumer. I dispositivi inclusi nella botnet BadBox 2.0 includevano tablet, decoder, proiettori digitali e altri dispositivi di fascia bassa, senza marchio e non certificati”, ha scritto Human Security. “I dispositivi infetti sono soluzioni basate su Android Open Source Project, non dispositivi con sistema operativo Android TV o certificati Play Protect. Sono tutti prodotti nella Cina continentale e spediti in tutto il mondo”.

Secondo i ricercatori, la maggior parte dei gadget interessati si trova in Brasile (37,6%), Stati Uniti (18,2%), Messico (6,3%) e Argentina (5,3%). Nel marzo 2025, l’operazione ha consentito di realizzare un sinkhole su alcuni domini botnet, interrompendo la comunicazione con i server di comando e controllo di 500.000 dispositivi infetti. Tuttavia, secondo l’FBI, la botnet sta nuovamente crescendo poiché i consumatori acquistano sempre più prodotti compromessi e li collegano a Internet.

L'articolo Ti vendono una TV e ti regalano un malware! BadBox: un milione di dispositivi per una botnet invisibile proviene da il blog della sicurezza informatica.

Satellite images show a new militia operating in southern Gaza in an area under IDF control, and a former Israeli defense minister claimed Israel is arming an ISIS-affiliated militia in Gaza to counter Hamas. In response, PM Netanyahu's office said the country is "working to defeat Hamas in various ways."

Se fosse vero sarebbe l'ennesima prova di quanto Israele sia sceso in basso.