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Paura della backdoor: Gli USA indagano su Temu per rischio alla sicurezza nazionale
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Paura della backdoor: Gli USA indagano su Temu per rischio alla sicurezza nazionaleI repubblicani al Congresso americano hanno chiesto al Federal Bureau of Investigation (FBI) e alla Securities and Exchange Commission (SEC) di condurre un’indagine sul funzionamento del mercato cinese Temu e sulla sua interazione con i dati dei cittadini americani.


Paura della backdoor: Gli USA indagano su Temu per rischio alla sicurezza nazionale


I repubblicani al Congresso americano hanno chiesto al Federal Bureau of Investigation (FBI) e alla Securities and Exchange Commission (SEC) di condurre un’indagine sul funzionamento del mercato cinese Temu e sulla sua interazione con i dati dei cittadini americani. Il motivo di questo passo sono state le preoccupazioni relative alla protezione dei dati personali, simili a quelle sorte in precedenza in relazione a TikTok.

Il Comitato Intelligence della Camera degli Stati Uniti ha espresso preoccupazione per i possibili legami dell’azienda con il Partito Comunista Cinese (PCC). I legislatori affermano che le interazioni di Temu con le leggi cinesi sulla sicurezza nazionale potrebbero rappresentare una minaccia per la privacy dei dati degli americani. Nella lettera inviata alla SEC e all’FBI si sottolinea che, come nel caso di TikTok, è importante capire come le aziende cinesi utilizzano a proprio vantaggio i principi democratici del libero mercato americano.

La piattaforma Temu è stata lanciata nel mercato statunitense nel 2022 e ha rapidamente guadagnato popolarità con la pubblicità del Super Bowl nel 2023 e nel 2024. Tuttavia, fin dall’inizio, l’azienda ha dovuto affrontare denunce di lavoro forzato e promozione del fast fashion, nonché accuse di pratiche tariffarie sleali. Inoltre, nel 2023, Google ha temporaneamente rimosso l’app Pinduoduo della società madre di Temu dal suo negozio a causa della scoperta di malware che, secondo gli esperti, sfruttava le vulnerabilità per accedere ai dati degli utenti.

A febbraio diversi cittadini statunitensi hanno citato in giudizio Temu, accusando la piattaforma di violazioni della privacy. La lettera repubblicana alla SEC e all’FBI menziona anche rapporti di collegamenti tra i dirigenti di Pinduoduo e Temu e il PCC, nonché pubblicazioni sui media su possibili vulnerabilità nei prodotti software dell’azienda.

I membri del Congresso chiedono risposte sul fatto che Temu sia stato indagato e su come la SEC e l’FBI interagiscono generalmente su questioni di sicurezza nazionale. Le indagini fanno parte di un’indagine più ampia sull’influenza della Cina sui mercati americani e sulle possibili minacce per gli Stati Uniti.

All’inizio di aprile, il presidente Joe Biden ha firmato una legislazione che impone la vendita di TikTok o il divieto totale dell’app entro gennaio del prossimo anno a causa di problemi di sicurezza nazionale.

L'articolo Paura della backdoor: Gli USA indagano su Temu per rischio alla sicurezza nazionale proviene da il blog della sicurezza informatica.


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Witch’s Staff Build is a Rad Glowing Costume Prop
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Witch’s Staff Build is a Rad Glowing Costume PropLet’s say you’re going to a music festival. You could just take water, sunscreen, and a hat. Or, you could take a rad glowing witch’s staff to really draw some eyes and have some fun. [MZandtheRaspberryPi] recently undertook just such a build for a friend and we love how it turned out. github.com/MZandtheRaspberryPi…


Witch’s Staff Build is a Rad Glowing Costume Prop


Let’s say you’re going to a music festival. You could just take water, sunscreen, and a hat. Or, you could take a rad glowing witch’s staff to really draw some eyes and have some fun. [MZandtheRaspberryPi] recently undertook just such a build for a friend and we love how it turned out.

The concept was to build a staff or cane with a big glowing orb on top. The aim was to 3D print the top as a very thin part so that LEDs inside could glow through it. Eventually, after much trial and error, the right combination of design and printer settings made this idea work. A Pi Pico W was then employed as the brains of the operation, driving a number of through-hole Neopixel LEDs sourced from Adafruit.

Power was courtesy of a long cable running out of the cane and to a USB power bank in the wielder’s pocket. Eventually, it was revealed this wasn’t ideal for dancing with the staff. Thus, an upgrade came in the form of an Adafruit Feather microcontroller and a 2,000 mAh lithium-polymer battery tucked inside the orb. The Feather’s onboard hardware made managing the lithium cell a cinch, and there were no more long cables to worry about.

The result? A neat costume prop that looks fantastic. A bit of 3D printing and basic electronics is all you need these days to build fun glowing projects, and we always love to see them. Halloween is right around the corner — if you’re building something awesome for your costume, don’t hesitate to let us know!


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FLOSS Weekly Episode 803: Unconferencing with OggCamp
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FLOSS Weekly Episode 803: Unconferencing with OggCampThis week Jonathan Bennett x.com/jp_bennett and and Simon Phipps chat with Gary Williams about OggCamp! It’s the Free Software and Free culture unconference happening soon in Manchester! What exactly is an unconference? How long has OggCamp been around, and what should you expect to see there? Listen to find


FLOSS Weekly Episode 803: Unconferencing with OggCamp


This week Jonathan Bennett and and Simon Phipps chat with Gary Williams about OggCamp! It’s the Free Software and Free culture unconference happening soon in Manchester! What exactly is an unconference? How long has OggCamp been around, and what should you expect to see there? Listen to find out!


youtube.com/embed/JsqK-puXtYI?…

Did you know you can watch the live recording of the show Right on our YouTube Channel? Have someone you’d like us to interview? Let us know, or contact the guest and have them contact us! Take a look at the schedule here.

play.libsyn.com/embed/episode/…

Direct Download in DRM-free MP3.

If you’d rather read along, here’s the transcript for this week’s episode.

Places to follow the FLOSS Weekly Podcast:


hackaday.com/2024/10/02/floss-…


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Retrotechtacular: Another Thing Your TV No Longer Needs
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Retrotechtacular: Another Thing Your TV No Longer NeedsAs Hackaday writers we don’t always know what our colleagues are working on until publication time, so we all look forward to seeing what other writers come up with. This week it was [Al Williams] with “Things Your TV No Longer Needs hackaday.com/2024/09/27/retro-…“, a range of gadgets from the analogue TV era, now


Retrotechtacular: Another Thing Your TV No Longer Needs


As Hackaday writers we don’t always know what our colleagues are working on until publication time, so we all look forward to seeing what other writers come up with. This week it was [Al Williams] with “Things Your TV No Longer Needs“, a range of gadgets from the analogue TV era, now consigned to the history books. On the bench here is a device that might have joined them, so in taking a look at it now it’s by way of an addendum to Al’s piece.

When VHF Was Not Enough


In a Dutch second-had store while on my hacker camp travels this summer, I noticed a small grey box. It was mine for the princely sum of five euros, because while I’d never seen one before I was able to guess exactly what it was. The “Super 2” weighing down my backpack was a UHF converter, a set-top box from before set-top boxes, and dating from the moment around five or six decades ago when that country expanded its TV broadcast network to include the UHF bands. If your TV was VHF it couldn’t receive the new channels, and this box was the answer to connecting your UHF antenna to that old TV.

It’s a relatively small plastic case about the size of a chunky paperback book, on the front of which is a tuning knob and scale in channels and MHz, on the top of which are a couple of buttons for VHF and UHF, and on the back are a set of balanced connectors for antennas and TV set. It’s mains powered, so there’s a mains lead with an older version of the ubiquitous European mains plug. Surprisingly it comes open with a couple of large coin screws on the underside, so it’s time to take a look inside.

Inside: A Familiar Sight


At first sight it’s fairly simple: a conventional mains DC power supply with no regulator and a metal tuner can. The scale mechanism is a string-and-gears affair, something quite common back in the day but a rare sight today. Unclipping the lid of the tuner can reveals its secret, this is the front end of a UHF TV tuner modified slightly to produce an output on a VHF broadcast channel. We’ve covered UHF TV tuners in the past, but if you’ve never encountered them here’s how they worked. Inside the can is a series of cavity tuned circuits containing two transistors. One of them is wired as an RF amplifier that works on the signal from the antenna, and the other is an oscillator. By mixing the amplified antenna signal with the oscillator output it’s possible to filter out an intermediate frequency, which is their difference. This was always 36 MHz, chosen because it lies just below the VHF broadcast band, and since this tuner needs to feed an unmodified VHF television, its output frequency will be a bit higher. We’re guessing that it’s been modified for a 41.25 MHz output, corresponding to the European VHF channel 1.

So in front of me I have a European thing that your TV no longer needs, and it’s one that probably didn’t have a very long market life. It’s a snapshot of a moment in consumer electronics history, when the number of channels could be counted on far less than the fingers of a hand. With analogue TV now long switched off it’s not even got a use any more except as a curio, so it joins the pile of museum-pieces alongside the 8-track player. Meanwhile if you’d like to see how an American city handled the UHF transition, we’ve been back to 1950s Portland, too.


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New note by cybersecurity
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Guasto Roma Termini, RFI precisa: “Escludiamo un attacco informatico”. Salvini: “Un’impresa privata ha piantato per sbaglio un chiodo su un cavo” key4biz.it/guasto-roma-termini…@Informatica (Italy e non Italy 😁)È ripresa intorno alle 8.30 la circolazione ferroviaria che dalle 6.30 di questa mattina è stata sospesa nel nodo di Roma per una

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New note by cybersecurity
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Giustizia, Telespazio, Tim e Guardia di Finanza bucate da hacker, tutti i dettagli startmag.it/cybersecurity/gius…@Informatica (Italy e non Italy 😁)Attacchi hacker a ministero della Giustizia, Guardia di Finanza, Tim e Telespazio perpetrati da un giovane 24enne arrestato dalla polizia postale. Fatti e approfondimentiL'articolo proviene dalla sezione #Cybersecurity di #StartMag la


Giustizia, Telespazio, Tim e Guardia di Finanza bucate da hacker, tutti i dettagli


@Informatica (Italy e non Italy 😁)
Attacchi hacker a ministero della Giustizia, Guardia di Finanza, Tim e Telespazio perpetrati da un giovane 24enne arrestato dalla polizia postale. Fatti e approfondimenti

L'articolo proviene dalla sezione #Cybersecurity di #StartMag la


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Drive For Show, Putt for Dough
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Drive For Show, Putt for DoughAny golfer will attest that the most impressive looking part of the game—long drives—isn’t where the game is won. To really lower one’s handicap the most important skills to develop are in the short game, especially putting. Even a two-inch putt to close out a hole counts the same as the longest drive, so these skills are not only difficult to master but incredibly va


Drive For Show, Putt for Dough


Any golfer will attest that the most impressive looking part of the game—long drives—isn’t where the game is won. To really lower one’s handicap the most important skills to develop are in the short game, especially putting. Even a two-inch putt to close out a hole counts the same as the longest drive, so these skills are not only difficult to master but incredibly valuable. To shortcut some of the skill development, though, [Sparks and Code] broke most rules around the design of golf clubs to construct this robotic putter.

The putter’s goal is to help the golfer with some of the finesse required to master the short game. It can vary its striking force by using an electromagnet to lift the club face a certain amount, depending on the distance needed to sink a putt. Two servos lift the electromagnet and club, then when the appropriate height is reached the electromagnet turns off and the club swings down to strike the ball. The two servos can also oppose each other’s direction to help aim the ball as well, allowing the club to strike at an angle rather than straight on. The club also has built-in rangefinding and a computer vision system so it can identify the hole automatically and determine exactly how it should hit the ball. The only thing the user needs to do is press a button on the shaft of the club.

Even the most famous golfers will have problems putting from time to time so, if you’re willing to skirt the rules a bit, the club might be useful to have around. If not, it’s at least a fun project to show off on the golf course to build one’s credibility around other robotics enthusiasts who also happen to be golfers. If you’re looking for something to be more of a coach or aide rather than an outright cheat, though, this golf club helps analyze and perfect your swing instead of doing everything for you.

youtube.com/embed/KWNAKPDI1rU?…


hackaday.com/2024/10/02/drive-…


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Zimbra sotto attacco. Scoperta vulnerabilità critica RCE. Aggiornare subito!
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Zimbra sotto attacco. Scoperta vulnerabilità critica RCE. Aggiornare subito!E’ recente la notizia della scoperta di una nuova vulnerabilità redhotcyber.com/post/vulnerabi… critica nel sistema di posta Zimbra, famosa piattaforma di posta elettronica redhotcyber.com/post/la-storia….La vulnerabilità redhotcyber.com/post/vulnerabi… identificata come


Zimbra sotto attacco. Scoperta vulnerabilità critica RCE. Aggiornare subito!


E’ recente la notizia della scoperta di una nuova vulnerabilità critica nel sistema di posta Zimbra, famosa piattaforma di posta elettronica.

La vulnerabilità identificata come CVE-2024-45519, può portare alla completa compromissione del server. La patch è stata distribuita a inizio settembre 2024, ma è stato avvertito uno sfruttamento massivo a partire dalla fine di settembre. Gli amministratori di Zimbra devono agire rapidamente per correggere i loro sistemi per prevenire lo sfruttamento.

La vulnerabilità


La vulnerabilità critica di esecuzione di codice remoto (RCE) è stata identificata nel servizio “postjournal” di Zimbra, che gestisce l’elaborazione dei messaggi SMTP. Il bug consente a un utente malintenzionato remoto non autenticato di eseguire comandi arbitrari su un sistema vulnerabile e di assumerne il pieno controllo. Uno sfruttamento efficace può portare ad accessi non autorizzati, escalation di privilegi e potenziale compromissione dell’integrità e della riservatezza del sistema.

Al momento, il CVE non è stato aggiunto al National Vulnerability Database (NVD) e il suo punteggio CVSS deve ancora essere determinato, ma il livello di rischio è chiaramente significativo. Una volta che un aggressore ottiene il controllo, può rubare dati sensibili e muoversi lateralmente attraverso la rete.

Aggrava ulteriormente la situzione, la recente disponibilità di un exploit proof-of-concept (PoC) pubblico disponibile su GitHub.

La problematica è stata risolta da Zimbra nelle versioni 8.8.15 Patch 46, 9.0.0 Patch 41, 10.0.9 e 10.1.1 rilasciate il 4 settembre 2024.

Sebbene la funzionalità postjournal possa essere facoltativa o non abilitata sulla maggior parte dei sistemi, è comunque raccomandato applicare la patch fornita per prevenire potenziali exploit. Per i sistemi Zimbra in cui la funzionalità postjournal non è abilitata e la patch non può essere applicata immediatamente, la rimozione del binario postjournal potrebbe essere considerata una misura temporanea fino a quando la patch non può essere applicata.

In conclusione è altissimo il rischio che un utente malintenzionato remoto non autenticato possa compromettere completamente il server per rubare informazioni riservate, installare ransomware o effettuare movimenti laterali.

Si consiglia alle organizzazioni che non hanno implementato l’ultima patch di farlo immediatamente per prevenire potenziali compromissioni.

L'articolo Zimbra sotto attacco. Scoperta vulnerabilità critica RCE. Aggiornare subito! proviene da il blog della sicurezza informatica.


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Guida alla conformità alla NIS2: La scadenza è a ottobre 2024
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Guida alla conformità alla NIS2: La scadenza è a ottobre 2024La scadenza si avvicina: il 18 ottobre entrerà in vigore la nuova Direttiva redhotcyber.com/linksSk2L/nis2, una normativa che porterà cambiamenti radicali nel panorama della cybersicurezza in Europa. Le organizzazioni che non si adegueranno rischiano sanzioni salatissime, con multe che possono arrivare fino a


Guida alla conformità alla NIS2: La scadenza è a ottobre 2024


La scadenza si avvicina: il 18 ottobre entrerà in vigore la nuova Direttiva NIS2, una normativa che porterà cambiamenti radicali nel panorama della cybersicurezza in Europa. Le organizzazioni che non si adegueranno rischiano sanzioni salatissime, con multe che possono arrivare fino a 10 milioni di euro o il 2% del fatturato globale annuo, a seconda di quale importo sia maggiore. La domanda che tutte le aziende si pongono è: cos’è la NIS2 e come garantire di essere conformi entro la scadenza?

Cos’è la Direttiva NIS2 e perché è importante?


La Direttiva NIS2 (Network and Information Security) è stata introdotta dall’Unione Europea con l’obiettivo di rafforzare la resilienza e la sicurezza delle infrastrutture digitali critiche all’interno degli Stati Membri. Questa nuova regolamentazione, ufficialmente nota come Direttiva Europea 2022/2555, rappresenta un’evoluzione significativa rispetto alla sua predecessora, la NIS1, e affronta in modo più completo le sfide attuali poste dalla crescente minaccia di attacchi cibernetici su larga scala.

La direttiva stabilisce regole chiare e dettagliate per proteggere le infrastrutture vitali, richiedendo misure di sicurezza più rigorose e un livello di protezione più uniforme tra i paesi membri. Uno degli aspetti più innovativi della NIS2 è l’ampliamento del suo ambito di applicazione: ora vengono inclusi anche settori che prima non erano considerati cruciali, come l’industria chimica, la gestione dei rifiuti, e persino i servizi digitali e postali. Questo riflette l’importanza crescente che la sicurezza delle informazioni ha assunto in tutte le aree dell’economia digitale.

Le organizzazioni coinvolte sono suddivise in due gruppi principali:

  • Soggetti importanti: questa categoria include una vasta gamma di settori come i servizi digitali, l’industria chimica, l’agroalimentare, la gestione dei rifiuti e i servizi postali, settori che pur non essendo fondamentali per la sopravvivenza immediata della società, sono comunque critici per il buon funzionamento delle economie e delle comunità.
  • Soggetti essenziali: sono enti e aziende che operano in settori di importanza strategica come l’energia, la sanità, il settore finanziario, i trasporti, le infrastrutture digitali, le risorse idriche, lo spazio e la difesa.


Perché la conformità alla NIS2 non è negoziabile


La Direttiva NIS2 impone un sistema sanzionatorio molto severo per la mancata conformità. Le multe per i soggetti importanti possono raggiungere i 7 milioni di euro o l’1,4% del fatturato annuo globale. Per i soggetti essenziali, invece, le sanzioni arrivano fino a 10 milioni di euro o al 2% del fatturato. Inoltre, le organizzazioni che non ottemperano ai nuovi requisiti possono affrontare un significativo danno reputazionale, minando la fiducia dei clienti e degli investitori.

A differenza di altre normative, come il GDPR, la NIS2 impone controlli non solo sulla protezione dei dati personali, ma su tutto lo spettro delle infrastrutture IT, richiedendo alle organizzazioni di adottare misure preventive per garantire la continuità operativa e la resilienza contro incidenti e attacchi cibernetici.

Le principali misure per ottenere la conformità alla NIS2


Essere conformi alla NIS2 non significa semplicemente implementare qualche misura di sicurezza aggiuntiva. È necessario un approccio sistemico che coinvolga vari aspetti della gestione dei rischi IT. Tra le misure obbligatorie ci sono:

  • Strategie di gestione del rischio cibernetico: identificare, valutare e mitigare i rischi legati alla sicurezza informatica.
  • Protezione della supply chain: monitorare e proteggere l’intera catena di approvvigionamento da potenziali vulnerabilità.
  • Continuità operativa e piani di ripristino: assicurarsi che le operazioni aziendali possano continuare anche in caso di un grave incidente.
  • Gestione degli incidenti di sicurezza: creare piani di risposta rapida e strutturata in caso di attacchi o violazioni della sicurezza.
  • Uso avanzato della crittografia e dell’autenticazione: adottare tecnologie come l’autenticazione a più fattori e la cifratura dei dati per proteggere informazioni sensibili.


Cubbit: una soluzione cloud innovativa per la compliance alla NIS2


Quando si tratta di garantire la conformità alla NIS2, l’adozione di soluzioni cloud sicure è fondamentale. Cubbit, una giovane e dinamica azienda italiana fondata a Bologna, sta rivoluzionando il mondo del cloud storage con il suo modello geo-distribuito.

A differenza dei fornitori di cloud tradizionali che concentrano i dati in pochi data center, Cubbit adotta un approccio completamente decentralizzato. I dati sono frammentati, crittografati e distribuiti su più nodi all’interno di un unico Paese, a scelta dell’utente, eliminando il rischio che la caduta di un singolo nodo comprometta la disponibilità dei dati.

Questa architettura garantisce una durabilità dei dati fino a 15 9, un livello di affidabilità diecimila volte superiore rispetto agli 11 9 offerti dalle soluzioni tradizionali. Inoltre, Cubbit offre un controllo senza precedenti sulla data residency, consentendo alle aziende di selezionare con precisione dove i loro dati vengono archiviati, in pieno rispetto delle normative NIS2 e GDPR.

Cubbit non si limita a offrire un’infrastruttura cloud sicura. Ha anche implementato avanzate tecnologie di protezione dai ransomware, come il versioning dei file e l’object lock, che impedisce la modifica o la cancellazione dei dati. Grazie a queste soluzioni, le organizzazioni possono recuperare versioni non compromesse dei file e proteggersi sia dagli attacchi malevoli che dagli errori umani.

Certificazioni di sicurezza e standard di eccellenza


Per offrire la massima tranquillità ai suoi clienti, Cubbit è soggetto a audit e certificazioni internazionali di terze parti, tra cui:

  • ISO 9001:2015 per i sistemi di gestione della qualità
  • ISO/IEC 27001:2013 per la sicurezza delle informazioni
  • ISO/IEC 27017:2015 per la sicurezza nel cloud
  • ISO/IEC 27018:2019 per la privacy e la protezione dei dati personali nel cloud
  • Cybersecurity Made in Europe Label, una garanzia di qualità e affidabilità europea.

Cubbit è inoltre disponibile sulla piattaforma MePa e possiede la qualifica ACN (ex AgID), rendendolo idoneo per operare con enti pubblici e organizzazioni del settore privato che necessitano di livelli di sicurezza estremamente elevati.

Preparati alla NIS2 con Cubbit


Il tempo per adeguarsi alla NIS2 sta per scadere, e le conseguenze della non conformità possono essere devastanti. Cubbit rappresenta la soluzione ideale per le aziende che cercano un cloud sicuro, conforme e flessibile, capace di adattarsi ai nuovi requisiti normativi senza compromettere l’efficienza operativa.

Non aspettare oltre: visita il nostro sito web e scopri come Cubbit può supportare la tua organizzazione nella transizione verso la compliance NIS2, garantendo la protezione dei tuoi dati e la continuità delle operazioni aziendali.

L'articolo Guida alla conformità alla NIS2: La scadenza è a ottobre 2024 proviene da il blog della sicurezza informatica.


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Mining and Refining: Lead, Silver, and Zinc
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Mining and Refining: Lead, Silver, and ZincIf you are in need of a lesson on just how much things have changed in the last 60 years, an anecdote from my childhood might suffice. My grandfather was a junk man, augmenting the income from his regular job by collecting scrap metal and selling it to metal recyclers. He knew the current scrap value of every common metal, and his garage and


Mining and Refining: Lead, Silver, and Zinc


If you are in need of a lesson on just how much things have changed in the last 60 years, an anecdote from my childhood might suffice. My grandfather was a junk man, augmenting the income from his regular job by collecting scrap metal and selling it to metal recyclers. He knew the current scrap value of every common metal, and his garage and yard were stuffed with barrels of steel shavings, old brake drums and rotors, and miles of copper wire.

But his most valuable scrap was lead, specifically the weights used to balance car wheels, which he’d buy as waste from tire shops. The weights had spring steel clips that had to be removed before the scrap dealers would take them, which my grandfather did by melting them in a big cauldron over a propane burner in the garage. I clearly remember hanging out with him during his “melts,” fascinated by the flames and simmering pools of molten lead, completely unconcerned by the potential danger of the situation.

Fast forward a few too many decades and in an ironic twist I find myself living very close to the place where all that lead probably came from, a place that was also blissfully unconcerned by the toxic consequences of pulling this valuable industrial metal from tunnels burrowed deep into the Bitterroot Mountains. It didn’t help that the lead-bearing ores also happened to be especially rich in other metals including zinc and copper. But the real prize was silver, present in such abundance that the most productive silver mine in the world was once located in a place that is known as “Silver Valley” to this day. Together, these three metals made fortunes for North Idaho, with unfortunate side effects from the mining and refining processes used to win them from the mountains.

All Together Now


Thanks to the relative abundance of their ores and their physical and chemical properties, lead, silver, and zinc have been known and worked since prehistoric times. Lead, in fact, may have been the first metal our ancestors learned to smelt. It’s primarily the low melting points of these metals that made this possible; lead, for instance, melts at only 327°C, well within the range of a simple wood fire. It’s also soft and ductile, making it easy enough to work with simple tools that lead beads and wires dating back over 9,000 years have been found.

Unlike many industrial metals, minerals containing lead, silver, and zinc generally aren’t oxides of the metals. Rather, these three metals are far more likely to combine with sulfur, so their ores are mostly sulfide minerals. For lead, the primary ore is galena or lead (II) sulfide (PbS). Galena is a naturally occurring semiconductor, crystals of which lent their name to the early “crystal radios” which used a lump of galena probed with a fine cat’s whisker as a rectifier or detector for AM radio signals.

youtube.com/embed/-GxL13rid1w?…

Geologically, galena is found in veins within various metamorphic rocks, and in association with a wide variety of sulfide minerals. Exactly what minerals those are depends greatly on the conditions under which the rock formed. Galena crystallized out of low-temperature geological processes is likely to be found in limestone deposits alongside other sulfide minerals such as sphalerite, or zincblende, an ore of zinc. When galena forms under higher temperatures, such as those associated with geothermal processes, it’s more likely to be associated with iron sulfides like pyrite, or Fool’s Gold. Hydrothermal galenas are also more likely to have silver dissolved into the mineral, classifying them as argentiferous ores. In some cases, such as the mines of the Silver Valley, the silver is at high enough concentrations that the lead is considered the byproduct rather than the primary product, despite galena not being a primary ore of silver.

Like a Lead Bubble


How galena is extracted and refined depends on where the deposits are found. In some places, galena deposits are close enough to the surface that open-cast mining techniques can be used. In the Silver Valley, though, and in other locations in North America with commercially significant galena deposits, galena deposits follow deep fissures left by geothermal processes, making deep tunnel mining more likely to be used. The scale of some of the mines in the Silver Valley is hard to grasp. The galena deposits that led to the Bunker Hill stake in the 1880s were found at an elevation of 3,600′ (1,100 meters) above sea level; the shafts and workings of the Bunker Hill Mine are now 1,600′ (488 meters) below sea level, requiring miners to take an elevator ride one mile straight down to get to work.

Ore veins are followed into the rock using a series of tunnels or stopes that branch out from vertical shafts. Stopes are cut with the time-honored combination of drilling and blasting, freeing up hundreds of tons of ore with each blasting operation. Loose ore is gathered with a slusher, a bucket attached to a dragline that pulls ore back up the stope, or using mining loaders, low-slung payloaders specialized for operation in tight spaces.
Ore plus soap equals metal bubbles. Froth flotation of copper sulfide is similar to the process for extracting zinc sulfide. Source: Geomartin, CC BY-SA 4.0
Silver Valley galena typically assays at about 10% lead, making it a fairly rich ore. It’s still not rich enough, though, and needs to be concentrated before smelting. Most mines do the initial concentration on site, starting with the usual crushing, classifying, washing, and grinding steps. Ball mills are used to reduce the ore to a fine powder, mixed with water and surfactants to form a slurry, and pumped into a broad, shallow tank. Air pumped into the bottom of the tanks creates bubbles in the slurry that carry the fine lead particles up to the surface while letting the waste rock particles, or gangue, sink to the bottom. It seems counterintuitive to separate lead by floating it, but froth flotation is quite common in metal refining; we’ve seen it used to concentrate everything from lightweight graphite to ultradense uranium. It’s also important to note that this is not yet elemental lead, but rather still the lead sulfide that made up the bulk of the galena ore.

Once the froth is skimmed off and dried, it’s about 80% pure lead sulfide and ready for smelting. The Bunker Hill Mine used to have the largest lead smelter in the world, but that closed in 1982 after decades of operation that left an environmental and public health catastrophe in its wake. Now, concentrate is mainly sent to smelters located overseas for final processing, which begins with roasting the lead sulfide in a blast of hot air. This converts the lead sulfide to lead oxide and gaseous sulfur dioxide as a waste product:

2 PbS + 3 O{_2} \rightarrow2 PbO + 2 SO{_2}

After roasting, the lead oxide undergoes a reduction reaction to free up the elemental lead by adding everything to a blast furnace fueled with coke:

2 PbO + C \rightarrow2 Pb + CO{_2}

Any remaining impurities float to the top of the batch while the molten lead is tapped off from the bottom of the furnace.

Zinc!


A significant amount of zinc is also located in the ore veins of the Silver Valey, enough to become a major contributor to the district’s riches. The mineral sphalerite is the main zinc ore found in this region; like galena, it’s a sulfide mineral, but it’s a mixture of zinc sulfide and iron sulfide instead of the more-or-less pure lead oxide in galena. Sphalerite also tends to be relatively rich in industrially important contaminants like cadmium, gallium, germanium, and indium.
Most sphalerite ore isn’t this pretty. Source: Ivar Leidus, CC BY-SA 4.0.
Extraction of sphalerite occurs alongside galena extraction and uses mostly the same mining processes. Concentration also uses the froth flotation method used to isolate lead sulfide, albeit with different surfactants specific for zinc sulfide. Concentration yields a material with about 50% zinc by weight, with iron, sulfur, silicates, and trace metals making up the rest.

Purification of zinc from the concentrate is via a roasting process similar to that used for lead, and results in zinc oxide and more sulfur dioxide:

2 ZnS + 3 O{_2}\rightarrow2 ZnO + 2SO{_2}

Originally, the Bunker Hill smelter just vented the sulfur dioxide out into the atmosphere, resulting in massive environmental damage in the Silver Valley. My neighbor relates his arrival in Idaho in 1970, crossing over the Lookout Pass from Montana on the then brand-new Interstate 90. Descending into the Silver Valley was like “a scene from Dante’s Inferno,” with thick smoke billowing from the smelter’s towering smokestacks trapped in the valley by a persistent inversion. The pine trees on the hillsides had all been stripped of needles by the sulfuric acid created when the sulfur dioxide mixed with moisture in the stale air. Eventually, the company realized that sulfur was too valuable to waste and started capturing it, and even built a fertilizer plant to put it to use. But the damage was done, and it took decades for the area to bounce back.

Recovering metallic zinc from zinc oxide is performed by reduction, again in a coke-fired blast furnace which collects the zinc vapors and condenses them to the liquid phase, which is tapped off into molds to create ingots. An alternative is electrowinning, where zinc oxide is converted to zinc sulfate using sulfuric acid, often made from the sulfur recovered from roasting. The zinc sulfate solution is then electrolyzed, and metallic zinc is recovered from the cathodes, melted, further purified if necessary, and cast into ingots.

Silver from Lead


If the original ore was argentiferous, as most of the Silver Valley’s galena is, now’s the time to recover the silver through the Parke’s process, a solvent extraction technique. In this case, the solvent is the molten lead, in which silver is quite soluble. The dissolved silver is precipitated by adding molten zinc, which has the useful property of reacting with silver while being immiscible with lead. Zinc also has a higher melting point than lead, meaning that as the temperature of the mixture drops, the zinc solidifies, carrying along any silver it combined with while in the molten state. The zinc-silver particles float to the top of the desilvered lead where they can be skimmed off. The zinc, which has a lower boiling point than silver, is driven off by vaporization, leaving behind relatively pure silver.

To further purify the recovered silver, cupellation is often employed. Cupellation is a pyrometallurgical process used since antiquity to purify noble metals by exploiting the different melting points and chemical properties of metals. In this case, silver contaminated with zinc is heated to the point where the zinc oxidizes in a shallow, porous vessel called a cupel. Cupels were traditionally made from bone ash or other materials rich in calcium carbonate, which gradually absorbs the zinc oxide, leaving behind a button of purified silver. Cupellation can also be used to purify silver directly from argentiferous galena ore, by differentially absorbing lead oxide from the molten solution, with the obvious disadvantage of wasting the lead:

Ag + 2 Pb + O{_2}\rightarrow 2PbO + Ag

Cupellation can also be used to recover small amounts of silver directly from refined lead, such as that in wheel weights:

youtube.com/embed/KoFAGEO5Fu8?…

If my grandfather had only known.


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New note by cybersecurity
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Guasto Roma Termini, RFI precisa: “Escludiamo un attacco informatico” key4biz.it/guasto-roma-termini…@Informatica (Italy e non Italy 😁)È ripresa intorno alle 8.30 la circolazione ferroviaria che dalle 6.30 di questa mattina è stata sospesa nel nodo di Roma per una disconnessione degli impianti delle stazioni di Termini e Tiburtina, che ha avuto ripercussioni anche in altri scali per le partenze e


Guasto Roma Termini, RFI precisa: “Escludiamo un attacco informatico”


@Informatica (Italy e non Italy 😁)
È ripresa intorno alle 8.30 la circolazione ferroviaria che dalle 6.30 di questa mattina è stata sospesa nel nodo di Roma per una disconnessione degli impianti delle stazioni di Termini e Tiburtina, che ha avuto ripercussioni anche in altri scali per le partenze e gli arrivi


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Nominations for the European SFS Award 2024 - Free Software Contributor of the Year are OPEN! 🏆🎉

Know an outstanding contributor to the #FreeSoftware community? Nominate now! Deadline: 10 Oct

#SFSCON

👉 sfscon.it/award-nomination/

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Creating Video Games With AI: a Mario Example
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Creating Video Games With AI: a Mario ExampleArtificial intelligence (AI) seems to be doing everything these days. Making images, making videos, and replacing most of us real human writers if you believe the hype. Maybe it’s all over! And yet, we persist, to write about yet another job taken over by AI: creating video games. virtual-protocol.github.io/mar…The research paper


Creating Video Games With AI: a Mario Example


Artificial intelligence (AI) seems to be doing everything these days. Making images, making videos, and replacing most of us real human writers if you believe the hype. Maybe it’s all over! And yet, we persist, to write about yet another job taken over by AI: creating video games.

The research paper is entitled “Video Game Generation: A Practical Study using Mario.” The basic idea is whether a generative AI model can create an interactive video game by first training it on an existing game.

MarioVGG, as it is called, is a “text-to-video model.” It hasn’t built the Mario game that you’re familiar with, though. It takes player commands as text inputs—such as “run, or “jump”—and then outputs video frames showing the result in the ‘game.’ The model was trained on a dataset of frame-by-frame Super Mario Brothers game play, combined with data on user inputs at the time. The model shows an ability to generate believable video output for given player inputs, including basic game physics, item interactions, and collisions. It’s able to do this in a chained way, so that it can reasonably simulate a player making multiple actions and moving through a level of the game.

It’s not like playing a real Mario game yet, by any means. Regardless, the AI model has shown an ability to replicate the world of the game in a way that behaves relatively consistently with its established rules. If you’re in the field of video game development, though, you probably don’t have a lot to worry about just yet—you probably moved past making basic Mario clones years ago, so you’ve got quite an edge for now!


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Finding a needle in a haystack: Machine learning at the forefront of threat hunting research
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Finding a needle in a haystack: Machine learning at the forefront of threat hunting researchIntroductionIn the ever-evolving landscape of cybersecurity, logs, that is information collected from various sources like network devices, endpoints, and applications, plays a crucial role in identifying and responding to threats. By analyzing


Finding a needle in a haystack: Machine learning at the forefront of threat hunting research



Introduction


In the ever-evolving landscape of cybersecurity, logs, that is information collected from various sources like network devices, endpoints, and applications, plays a crucial role in identifying and responding to threats. By analyzing this data, organizations can detect anomalies, pinpoint malicious activity, and mitigate potential cyberattacks before they cause significant damage. However, the sheer volume and complexity of logs often make them challenging to analyze effectively.

This is where machine learning (ML) comes into play. ML, a subset of artificial intelligence (AI), with its ability to process and analyze large datasets, offers a powerful solution to enhance threat detection capabilities. ML enables faster and more accurate identification of cyberthreats, helping organizations stay ahead of increasingly sophisticated attackers.

At Kaspersky, we have been using ML algorithms in our solutions for close on 20 years, and we have formulated ethical principles for the development and use of AI/ML. We utilize a variety of ML models and methods that are key to automating threat detection, anomaly recognition, and enhancing the accuracy of malware identification. In this post, we will share our experience hunting for new threats by processing Kaspersky Security Network (KSN) global threat data with ML tools to identify subtle new Indicators of Compromise (IoCs). We will also discuss challenges in implementing machine learning and interpreting threat hunting results.

The Kaspersky Security Network (KSN) infrastructure is designed to receive and process complex global cyberthreat data, transforming it into actionable threat intelligence that powers our products. A key source of threat-related data comes from voluntary contributions by our customers. To find out more, read about the principles of Kaspersky Security Network and our privacy policy.

The role of ML in global threat log analysis


Machine learning enables systems to learn from data and improve their performance over time without being explicitly programmed. When applied to cybersecurity logs, ML excels at analyzing large and complex datasets. It can automatically identify patterns, detect anomalies, and predict potential threats. When applied to our KSN global threat logs, ML can help predict and identify new threats.

One of the ML algorithms particularly well-suited for this task is Random Forest. This algorithm works by constructing multiple decision trees during training and assigning classes by the majority vote of the trees during scanning. Random Forest is especially effective in handling non-linear data, reducing the risk of overfitting, and providing insights into the importance of various features in the dataset. Random Forest is highly effective at identifying patterns, but this strength can lead to challenges in interpretability, particularly with larger models. It may produce positive results that are difficult to understand or explain due to the complexity of the decision-making process. Nevertheless, the benefits make it an excellent choice for analyzing logs and uncovering hidden cyberthreats.

ML Random Forest process
ML Random Forest process

Reconstructing reality: the benefits of using ML in cybersecurity


Continuous learning allows ML models to detect subtle and novel cyberthreats, providing more robust defense. ML then acts to “reconstruct the cyber-reality” by transforming raw telemetry data into actionable insights that reflect the true state of a network or system’s security.

Reconstructing reality using logs: a depiction
Reconstructing reality using logs: a depiction

The ability of ML-powered technology to analyze vast amounts of data in real time ensures that potential threats are identified and addressed more quickly, minimizing the window of vulnerability. Additionally, the adaptability of ML means that as new attack vectors emerge, models can still provide some level of protection without requiring updates, unlike traditional systems that often need constant rule revisions. This leads to a more proactive and effective cybersecurity posture, allowing organizations to stay ahead of increasingly sophisticated cyberattacks.

Ultimately, the ability of ML to partially reconstruct the cyber-reality from logs helps organizations stay ahead of cyberthreats by offering a clearer, more precise view of their security posture, enabling faster and better informed decision-making.

Methodology and challenges


The goal of the ML model presented in this study is to evaluate new logs and identify anomalous behavior. For that to be done, a clean dataset should be prepared, and the model needs to be configured with the right options to best perform its objectives. The model is then trained and tested, before being deployed to examine larger amounts of data.

Nearly every organization possesses unique datasets that can be leveraged to enhance and improve services. However, with this opportunity comes the critical responsibility of adhering to compliance standards and legal requirements. This responsibility is a key reason why we cannot disclose all the details of the training process and algorithms involved. Below we discuss the steps we have taken to achieve the goal, as well as the challenges you might encounter while training and applying similar models.

The dataset


A machine learning dataset is a collection of data used to train, validate, and test ML models. A dataset consist of various examples, each containing features (input variables) and, in supervised learning tasks, corresponding labels (output variables or targets).

Our dataset has been collected from, and is representative of, a large variety of previously investigated incidents. It describes advanced malware activities that we have observed in attacks by a variety of threat actors. More information about APT threat actors we track can be found here. The dataset contains a variety of indicators of malicious activities that were verified manually after being automatically collected to reduce the risk of inaccuracy.

A well-prepared dataset is foundational to the success of any ML project. The choice of dataset, its quality, and how it is prepared and split into training, validation, and test sets can significantly impact the model’s ability to learn and generalize new data. The adage of “garbage in, garbage out” applies here: if the dataset is flawed or poorly curated, the ML model’s predictions will also be unreliable.

Preprocessing


Preprocessing is a crucial step in a machine learning pipeline where raw data is transformed into a format suitable for training an ML model. This process involves cleaning the data, handling missing values, transforming variables into a scaled and normalized numerical representation, and ensuring that the data is in a consistent and standardized format. Effective preprocessing can significantly improve the performance and accuracy of an ML model.

One popular method we used for this transformation is term frequency–inverse document frequency (TF–IDF), which is a statistical measure used in natural language processing to evaluate the importance of a word in a document relative to a collection of documents. TF–IDF transforms raw text data into a set of machine-readable numerical features, which can be then fed to an ML model.

Implementation and training of the model


When dealing with text data, a common approach is to first transform the raw text into numerical features using techniques like TF–IDF and then apply an ML algorithm such as Random Forest to classify or analyze the data. TF–IDF is known to be efficient and versatile, while Random Forest is known for accuracy, reduced overfitting, and an ability to capture complex, non-linear relationships between features. The combination of TF–IDF with Random Forest allows handling high-dimensional data, while also providing robustness and scalability, very much needed to handle data with millions of entries daily.

A machine learning model reaches maturity when it performs consistently well on the kind of tasks it was designed for, meeting the performance criteria set during its development. Maturity is typically indicated by the following factors:

  • Stable performance: The model exhibits consistent and satisfactory performance on both training and validation datasets.
  • Generalization: The model generalizes well to new, unseen data, maintaining performance levels similar to those observed during testing.
  • Diminishing returns from more training: After a certain point, adding more training data or fine-tuning the model further does not lead to significant improvements.

It is worth noting that model training does not necessarily end when it achieves maturity. To maintain model maturity, incremental learning is often needed, which means an ongoing process of updating and refining the machine learning model by incorporating new data over time. This approach is particularly important in dynamic fields where data distributions and patterns can shift, leading to the need for models that can keep up with these changes, which is exactly the case with the cybersecurity threat landscape.

During the development of our model, a target accuracy of 99% was set as a primary performance goal. Once the model achieved this level of accuracy, additional steps were implemented to further refine the output. These steps involved classifying the outcome in specific cases that required manual investigation.

Deployment and computational costs


When a model is ready, it can be integrated into a production environment where it can start making predictions on new data. This could be through an API, embedded in an application, or as part of a larger system. Continuous monitoring of the model’s performance to detect issues such as “concept drift” is essential to avoid degradation in accuracy, ensure reliable predictions, and maintain the model’s relevance in changing environments.

At the same time, both choices of TF–IDF and Random Forest can be computationally intensive. TF–IDF vectorization can lead to very large and sparse matrices. Random Forest models can become demanding when dealing with high-dimensional data and large datasets.

However, with the right capacities and hyperparameter fine-tuning, an optimal ML framework can be reached to permit the model to achieve its potential without sacrificing accuracy or efficiency. Example TF–IDF parameters that we found useful include frequency thresholds to allow, maximum features to extract, ngram range to match. Example Random Forest parameters that we found useful include the number of estimators, depth of the trees, split and leaf samples, and quality and impurity measurements.

Interpretability of results


In ML, and depending on the algorithm used, interpreting the model to understand how it makes predictions could be possible. This could involve analyzing the importance of features, visualizing decision trees, or using other evaluation tools.

However efficient, each model has its limitations that are important to know. Random Forests can be less interpretable than other models, especially with large numbers of input features. TF–IDF by design tends to give higher importance to rare items, which can sometimes be noisy or irrelevant in real-world applications. These feature limitations were acknowledged during development and considered in model fine-tuning.

The outcomes of machine learning during model training play a crucial role in guiding the development, refinement, and optimization of the model. These outcomes provide valuable feedback that helps data scientists and ML engineers make informed decisions to improve the model’s performance, guide adjustments, and ensure the final model is robust, generalizes well, and meets the desired criteria.

Findings: new cyberthreats discovered


As we started this study, we kept in mind that the usage of ML in log analysis enables the discovery of previously unknown cyberthreats by analyzing vast amounts of data and uncovering patterns. The model can process and learn from millions of data points in real time, pointing out subtle indicators that may signal the presence of a new or advanced threat. However, the results we got exceeded our expectations: the model revealed thousands of new advanced threats. As of H1 2024, ML findings represented 25% added detections of APT-related activities.

Here are a few examples of indicators of compromise found using ML in the past year. Once inspected, these indicators were quickly revealed to be part of malicious activity. The incidents involving these IoCs are not further investigated here, but our analysis of these and similar findings has been published (for example, here and here) or will be, in other posts on this site or in private threat intelligence reports.

Target industriesIndicators of compromise
Governmentcartoonplayer[.]com
dict.sspcoaches[.]com
ondrive.foroof[.]com
www.bingsearches[.]com
news.popecompro[.]com
microsoft.msonedriver[.]com
Telecommunicationsmicrosoftdesktop[.]com
afnews.ddns[.]net
Financeshorts.play-youtube[.]com
store-077864-live[.]com
financebanke[.]com
Enterprisep2p.firecloudservice[.]com
cloud.googlemyanmarnews[.]com
ptica.qofexae5[.]fun
sodog[.]life
support.firewallsupportservers[.]com
imgcache.cloudservicesdevc[.]tk
21zy.x24hr[.]com
srv.activesetting[.]com
g-eurasia-ru[.]com
customer.competeorder[.]com
LwussRtQxMSay3o3.defensenews[.]online
Non-business userswww.infraredsen[.]com
cnnkkk[.]com

Future directions


The future of using ML for telemetry analysis holds exciting possibilities, with several advancements on the horizon that could further enhance threat detection capabilities. One promising area is the integration of deep learning techniques, which can automatically extract and learn complex patterns from raw data. We already use deep learning in some of our products, and applying it to threat hunting could potentially further improve detection accuracy and uncover even more sophisticated threats.

Another area of exploration is reinforcement learning, where models can continuously adapt and improve by interacting with dynamic cybersecurity environments. This could lead to more proactive defense mechanisms that not only detect but also respond to threats in real time.

Additionally, federated learning presents a significant opportunity for collaborative threat detection across organizations while preserving data privacy. By allowing models to learn from decentralized data without sharing the actual data, federated learning could facilitate the creation of more robust and generalizable threat detection models.

Conclusion


The integration of ML into cybersecurity has already demonstrated its transformative potential by enabling the detection of novel cyberthreats that traditional methods might overlook. Through the analysis of vast and complex logs, ML models can identify subtle patterns and IoCs, providing organizations with a powerful tool to enhance their security posture. The examples of cyberthreats discovered over the past year underscore the efficacy of ML in uncovering threats across various industries, from government to finance.

These technologies will not only improve detection accuracy but also enable more proactive and collaborative defense strategies, allowing organizations to stay ahead of the ever-evolving cyberthreat landscape.

In this post, we have evaluated the utilization of ML models on our KSN global threat data, which has led us to reveal thousands of new advanced threats. The journey of refining ML models through meticulous dataset preparation, preprocessing, and model implementation has highlighted the importance of leveraging these technologies to build robust, adaptable, and scalable solutions.

As we continue to explore and enhance these capabilities, the potential for machine learning to reshape cybersecurity and protect against increasingly sophisticated threats becomes ever more apparent. The future of cybersecurity lies in our ability to ethically harness these tools effectively, ensuring a safer digital environment for all.


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Arrestato l’Hacker 24enne che ha violato il Ministero della Giustizia e Importanti Aziende Italiane
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Arrestato l’Hacker 24enne che ha violato il Ministero della Giustizia e Importanti Aziende ItalianeUn giovane di 24 anni è stato arrestato al termine di una indagine coordinata dalla Direzione Nazionale Antimafia e dal pool reati informatici della Procura di Napoli. Il giovane, un informatico originario di Gela, è accusato di aver


Arrestato l’Hacker 24enne che ha violato il Ministero della Giustizia e Importanti Aziende Italiane


Un giovane di 24 anni è stato arrestato al termine di una indagine coordinata dalla Direzione Nazionale Antimafia e dal pool reati informatici della Procura di Napoli. Il giovane, un informatico originario di Gela, è accusato di aver violato ripetutamente i sistemi informatici del Ministero della Giustizia e di diverse aziende di rilevanza nazionale.

L’indagine, che si è protratta per diversi anni e ha coinvolto numerose procure italiane, ha rivelato come il 24enne fosse in grado di accedere a fascicoli di indagine coperti da segreto investigativo. Utilizzando avanzate competenze tecniche, l’hacker riusciva non solo a penetrare i sistemi protetti, ma anche a ottenere informazioni altamente sensibili, mettendo a rischio la sicurezza nazionale.

La scoperta degli attacchi informatici è avvenuta grazie al lavoro del pool specializzato della Procura di Napoli, il primo a rilevare anomalie nei sistemi del Ministero. Da lì è partita l’inchiesta, che ha portato alla collaborazione tra diverse procure, permettendo di tracciare l’attività criminale del giovane hacker.

L’uomo, impiegato come informatico, viveva tra Gela e Roma e operava utilizzando almeno cinque identità coperte per evitare di essere scoperto. Le sue azioni non si limitavano alla semplice intrusione nei sistemi: le sue competenze gli avrebbero permesso di bloccarli, mettendo potenzialmente a rischio l’operatività di enti cruciali per la sicurezza del Paese.

L’arresto segna un importante passo in avanti nella lotta contro la criminalità informatica in Italia, un settore in cui le minacce sono in continua evoluzione e richiedono la costante collaborazione tra le autorità nazionali e internazionali.

L’inchiesta prosegue per determinare l’ampiezza delle informazioni sottratte e l’eventuale coinvolgimento di altre persone nel vasto schema di intrusione digitale orchestrato dal giovane hacker.

L'articolo Arrestato l’Hacker 24enne che ha violato il Ministero della Giustizia e Importanti Aziende Italiane proviene da il blog della sicurezza informatica.


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Gli Infostealer puntano all’Intelligenza Artificiale! Rhadamanthys Minaccia i Portafogli Cripto
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Gli Infostealer puntano all’Intelligenza Artificiale! Rhadamanthys Minaccia i Portafogli CriptoI ricercatori di Recorded Future hanno scoperto recordedfuture.com/research/rh… che gli aggressori dietro il redhotcyber.com/post/la-storia… Rhadamanthys hanno aggiunto nuove funzionalità basate sull’intelligenza artificiale


Gli Infostealer puntano all’Intelligenza Artificiale! Rhadamanthys Minaccia i Portafogli Cripto


I ricercatori di Recorded Future hanno scoperto che gli aggressori dietro il malware Rhadamanthys hanno aggiunto nuove funzionalità basate sull’intelligenza artificiale (AI). Una nuova funzionalità chiamata Seed Phrase Image Recognition consente al software di estrarre le frasi seed del portafoglio crittografico dalle immagini, il che rappresenta una seria minaccia per gli utenti di criptovaluta.

In altre parole, il malware Rhadamanthys è ora in grado di identificare le immagini con le frasi seed dei portafogli crittografici presenti sul dispositivo della vittima e di inviarle al server di controllo per un ulteriore sfruttamento. Questa possibilità aumenta il rischio di furto di fondi dai portafogli di criptovaluta.

Introdotto nel settembre 2022, Rhadamanthys è rapidamente diventato uno dei più potenti infostealer presenti nel mercato del malware as a service (MaaS). Nonostante i divieti su alcuni forum clandestini, come Exploit e XSS, il creatore di questo software, noto come “kingcrete“, lo promuove attivamente su Telegram, Jabber e TOX.

Il software viene venduto in abbonamento per 250 dollari al mese o 550 dollari per 90 giorni, consentendo agli aggressori di accedere a informazioni riservate: dati di sistema, account, portafogli crittografici, password del browser, cookie e altri dati presenti sui dispositivi infetti. Allo stesso tempo, l’autore di Rhadamanthys complica attivamente l’analisi del suo software attraverso una sandbox e in altri ambienti di ricerca.

La nuova versione 0.7.0, rilasciata a giugno di quest’anno, rappresenta un miglioramento significativo rispetto alla versione 0.6.0, rilasciata a febbraio. Secondo Recorded Future, l’autore ha riscritto completamente il software client e server, migliorato la stabilità, aggiunto 30 algoritmi per l’hacking di portafogli crittografici, funzioni di riconoscimento di documenti grafici e PDF e capacità estese di estrazione del testo per rilevare molte frasi salvate.

Inoltre è stata introdotta la possibilità di installare file MSI per aggirare le misure di sicurezza sul dispositivo della vittima. Rhadamanthys supporta anche un sistema di plugin che espande le sue funzionalità con funzionalità keylogger, cryptoclipper e proxy inverso.

Gli esperti sottolineano che Rhadamanthys Stealer è popolare tra i criminali informatici grazie al suo rapido sviluppo e alle sue caratteristiche innovative. Anche altri ladri di dati simili, come Lumma, Meduza, StealC, Vidar e WhiteSnake, si stanno rapidamente aggiornando e introducendo nuove funzionalità, come la raccolta di cookie dal browser Chrome e il bypass dei meccanismi di sicurezza introdotti di recente.

Nel frattempo, altre campagne malware, come Amady, utilizzano varie tecniche di ingegneria sociale e siti di phishing per ottenere le credenziali delle vittime. I criminali informatici attirano gli utenti su pagine false e li costringono a eseguire determinate azioni, come l’esecuzione del codice PowerShell, per installare ed eseguire malware.

Gli esperti avvertono che gli aggiornamenti costanti e le nuove tattiche impiegate dagli hacker pongono seri rischi per gli utenti di Internet e delle criptovalute, aumentando la necessità di una forte protezione e vigilanza informatica.

L'articolo Gli Infostealer puntano all’Intelligenza Artificiale! Rhadamanthys Minaccia i Portafogli Cripto proviene da il blog della sicurezza informatica.


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BBC Micro: A Retro Revamp with the 68008 Upgrade
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BBC Micro: A Retro Revamp with the 68008 UpgradeThe BBC Microcomputer, launched in the early 1980s, holds a special place in computing history. Designed for educational purposes, it introduced a generation to programming and technology. With its robust architecture and community-driven modifications, the BBC Micro remains a beloved project for retro computing enthusiasts.
[Neil]


BBC Micro: A Retro Revamp with the 68008 Upgrade


Screen caps of upgraded BBC Micro, and OS 9 code

The BBC Microcomputer, launched in the early 1980s, holds a special place in computing history. Designed for educational purposes, it introduced a generation to programming and technology. With its robust architecture and community-driven modifications, the BBC Micro remains a beloved project for retro computing enthusiasts. [Neil] from Retro4U has been delving into this classic machine, showcasing the fascinating process of repairing and upgrading his BBC Micro with a 68008 CPU upgrade.

Last week, [Neil] shared his progress, unveiling advancements in his repairs and upgrades. After tackling a troublesome beep issue, he successfully managed to get the BBC running with 32 KB of functional memory, allowing him to boot into BASIC. But he wasn’t stopping there. With ambitions set on installing the 68008 CPU, [Neil]’s journey continued.

The 68008 board offers significant enhancements, including multitasking capabilities with OS-9 and its own hard drive and floppy disk controller. However, [Neil] quickly encountered challenges; the board’s condition revealed the usual broken capacitors and a few other faulty components. After addressing these issues, [Neil] turned his attention to programming the necessary ROM for OS-9.

Looking to get your hands dirty? [Neil] has shared a PDF of the upgrade circuit diagram. You can also join the discussion with fellow enthusiasts on his Discord channel, linked in the video description.

youtube.com/embed/QnZIm0DagGg?…


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Assange tells Strasbourg assembly he ‘pleaded guilty to journalism’ to gain freedom
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Assange tells Strasbourg assembly he ‘pleaded guilty to journalism’ to gain freedomWikileaks founder Julian Assange said Tuesday he was released after years of incarceration only because he pleaded guilty to doing "journalism", warning that freedom of expression was now at a "dark crossroads".euractiv.com/section/global-eu…


Assange tells Strasbourg assembly he ‘pleaded guilty to journalism’ to gain freedom


Wikileaks founder Julian Assange said Tuesday he was released after years of incarceration only because he pleaded guilty to doing "journalism", warning that freedom of expression was now at a "dark crossroads".


euractiv.com/section/global-eu…


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Easily Build This IMU Array Sandbox
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Easily Build This IMU Array SandboxThese days we’re used to our devices containing an inertial measurement unit (IMU) that lets it know its position relative to the Earth. They’re mechanical devices at heart, and so they’re not infallible, with a few well-known failure modes — but we can try and help it. One way that’s getting some attention is to put many MEMS IMUs on a single PCB, connect it


Easily Build This IMU Array Sandbox


These days we’re used to our devices containing an inertial measurement unit (IMU) that lets it know its position relative to the Earth. They’re mechanical devices at heart, and so they’re not infallible, with a few well-known failure modes — but we can try and help it. One way that’s getting some attention is to put many MEMS IMUs on a single PCB, connect it to an FPGA, then process their data all together to make for a more sensitive IMU or filter out drift. Want to join in? Here’s an open source implementation from [will127534].

With 32 individual ICM-42688-P SPI-connected IMUs and the beloved ICE40 chip at the center of the board, this PCB is a powerful platform to help you jump onto the new direction of the IMU research world. There’s example Verilog code that tests the board’s workings, and you can pair it with a Pi Pico running MicroPython to test out its raw capabilities. After that, the stage is yours.

The board is cheap to order online, easy to assemble yourself if you must, or have JLCPCB assemble it — just solder some capacitors on the backside afterwards. There’s a breakout, but it’s mostly for tests. This board is very much designed to be a module in a bigger system, [will] mentions that he’s building a geophone. Clever array-based hacks are en vogue, it would feel – here’s a LED array from [mitxela] that uses LEDs as sensors.


hackaday.com/2024/10/02/easily…


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l NIST Demolisce le Vecchie Regole sulle Password! Verso un’Autenticazione più Sicura
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l NIST Demolisce le Vecchie Regole sulle Password! Verso un’Autenticazione più SicuraIl National Institute of Standards and Technology (NIST), un ente federale statunitense che stabilisce gli standard tecnologici per agenzie governative, organizzazioni di standardizzazione e aziende private, ha proposto di rivedere alcuni dei suoi requisiti per


l NIST Demolisce le Vecchie Regole sulle Password! Verso un’Autenticazione più Sicura


Il National Institute of Standards and Technology (NIST), un ente federale statunitense che stabilisce gli standard tecnologici per agenzie governative, organizzazioni di standardizzazione e aziende private, ha proposto di rivedere alcuni dei suoi requisiti per le password. In particolare, si propone di eliminare le reimpostazioni obbligatorie, i requisiti o le restrizioni sull’uso di determinati caratteri e le domande di sicurezza.

Il fatto è che spesso è molto difficile rispettare le regole sulla password. Spesso queste regole, apparentemente progettate per aumentare il livello di sicurezza, in realtà lo minano.

A settembre, il NIST ha pubblicato la seconda bozza pubblica di SP 800-63-4 , l’ultima versione delle Linee guida sull’identità digitale. Questo documento contiene, tra le altre cose, requisiti tecnici e raccomandazioni sui metodi per determinare la validità delle identità digitali utilizzate per l’autenticazione su Internet. Le organizzazioni che interagiscono online con il governo federale degli Stati Uniti sono tenute a rispettare questi requisiti.

Cambiamenti rispetto al passato


La sezione sulle password contiene un gran numero di regole che contraddicono gli standard generalmente accettati oggi. Ad esempio, si suggerisce che agli utenti finali non venga richiesto di modificare periodicamente la propria password.

Questo requisito risale a diversi decenni fa, quando la sicurezza delle password era ancora poco conosciuta e le persone spesso sceglievano come password nomi e parole semplici che potevano essere facilmente indovinati.

Da allora, la maggior parte dei servizi ha iniziato a richiedere l’uso di password più complesse costituite da caratteri o frasi casuali. Se le password vengono scelte correttamente, richiederne la modifica periodica (ogni uno o tre mesi) può portare a una diminuzione della sicurezza, poiché è già noto che ciò incoraggia solo gli utenti a utilizzare password più deboli e più facili da trovare e ricordare.

Un altro requisito che secondo il NIST fa più male che bene è richiedere o vietare l’uso di determinati caratteri nelle password. Ad esempio, una password deve contenere almeno un numero, un carattere speciale, una lettera maiuscola e una lettera minuscola. Se le password stesse sono sufficientemente lunghe e casuali, anche tali restrizioni non offrono alcun vantaggio.

Alcune pratiche dovranno essere vietate


Di conseguenza, le linee guida NIST aggiornate stabiliscono che determinate pratiche devono essere vietate affinché un’organizzazione possa soddisfare gli standard:

  • I verificatori e i credential service providers (CSP) non dovrebbero imporre regole diverse per le password (ad esempio, richiedere una combinazione di diversi tipi di caratteri);
  • I verificatori e i credential service providers (CSP)non dovrebbero richiedere agli utenti di modificare periodicamente le password.

In questo caso, “Verificatori” nel linguaggio del NIST è riferito alle organizzazioni che verificano l’identità del proprietario di un account confermando i suoi dati di autenticazione. E un credential service providers (CSP) è un’entità fidata che assegna o registra i Verificatori per i titolari di account.

Il documento aggiornato contiene anche una serie di altre raccomandazioni:

  • i verificatori e i credential service providers (CSP) sono tenuti a richiedere che le password siano lunghe almeno otto caratteri e potrebbero richiedere che le password siano lunghe almeno 15 caratteri;
  • i verificatori e i credential service providers (CSP) devono consentire una lunghezza massima della password di almeno 64 caratteri;
  • i verificatori e i credential service providers (CSP) devono consentire l’utilizzo di tutti i caratteri ASCII [ RFC20 ] stampabili e del carattere spazio nelle password;
  • i verificatori e i credential service providers (CSP) devono accettare i caratteri Unicode nelle password [ ISO/ISC 10646 ] e ogni carattere Unicode deve essere conteggiato come un carattere quando si valuta la lunghezza della password;
  • i verificatori e i credential service providers (CSP) non dovrebbero stabilire regole diverse per le password (ad esempio, richiedere una combinazione di diversi tipi di caratteri);
  • i verificatori e i credential service providers (CSP) non dovrebbero richiedere agli utenti di modificare periodicamente le password, ma i verificatori sono tenuti a forzare le modifiche delle password se vi è prova che l’autenticatore è stato compromesso;
  • i verificatori e i credential service providers (CSP) non dovrebbero consentire agli utenti di memorizzare suggerimenti accessibili a individui non autenticati;
  • i verificatori e i credential service providers (CSP) non dovrebbero chiedere agli utenti di utilizzare l’autenticazione basata sulla conoscenza (ad esempio, “Qual era il nome del tuo primo animale domestico?”) o domande di sicurezza quando scelgono una password;
  • i verificatori sono tenuti a controllare l’intera password inserita (ovvero, a non troncarla).

Le nuove raccomandazioni del NIST, se adottate nel documento finale, non saranno vincolanti per tutti, ma potrebbero costituire un valido motivo per eliminare molte pratiche obsolete.

L'articolo l NIST Demolisce le Vecchie Regole sulle Password! Verso un’Autenticazione più Sicura proviene da il blog della sicurezza informatica.


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Israele: Il Connubio tra Tecnologia, Cyber Warfare e Mondo Moderno
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Israele: Il Connubio tra Tecnologia, Cyber Warfare e Mondo ModernoLa tecnologia per Israele è sempre stata preminente ed importante. La maggior parte dei prodotti tecnologici nel campo dell’IT sono stati sviluppati da Israele o portano la firma di qualche ingegnere, informatico o matematico di origini ebraiche. L’impegno, la dedizione, lo studio, la ricerca e


Israele: Il Connubio tra Tecnologia, Cyber Warfare e Mondo Moderno


La tecnologia per Israele è sempre stata preminente ed importante. La maggior parte dei prodotti tecnologici nel campo dell’IT sono stati sviluppati da Israele o portano la firma di qualche ingegnere, informatico o matematico di origini ebraiche. L’impegno, la dedizione, lo studio, la ricerca e soprattutto la formazione fin dalle prime classi elementari delle scuole, che Tel Aviv ripone nella tecnologia è qualcosa di straordinario e chi non comprende questo impegno, forse non comprende a fondo la cultura ebraica.

Non è affatto una sorpresa per molti analisti e conoscitori della storia di Israele, quanto accaduto nei giorno scorsi con i “cercapersone”, men che meno sorprende la pianificazione dell’operazione costruita intorno all’operazione.

Oggi sono i cercapersone, ieri era stuxnet, l’altro ieri erano i droni. Dalla fine della guerra arabo/israeliana, la società israeliana non ha fatto altro che costruire prodotti ad alto tasso tecnologico, che noi oggi usiamo senza rendercene conto – pensate alle Pen drive che tutti abbiamo in tasca – e l’eliminazione dei nemici di Israele utilizzando la tecnologia, non è una novità.

Nel 1992 quando nessuno parlava di droni, Israele aveva già un drone che a 3000 mt di quota, sorvolava il Libano, l’Iran ed altri paesi ostili a Tel Aviv. Oggi acquistarne uno a meno di 100€ è un gioco da ragazzi, ma nel 1992 chi pensava ai droni? Nessuno, Israele invece si. Con un drone infatti, venne seguito uno dei leader di Hezbollah dell’epoca ed individuato a bordo della sua auto nel mezzo di altre auto di scorta che formavano il convoglio di sicurezza.

Il drone inviò la posizione del convoglio composto dalla Mercedes nera con a bordo Abbas Musavi e due Range Rover, ad una centrale remota in Israele, da questa base segreta decollò un elicottero dell’IDF e con un missile teleguidato, eliminò l’uomo ed i suoi fedelissimi. La fine di Abbas Musavi avvenne su una strada in LIbano, per effetto di una nuova tecnologia, ad alto tasso cyber, per l’epoca.

Ed allora perché con tutta questa tecnologia non hanno previsto gli attacchi del 7 ottobre?
Molti si chiedono come sia potuto accadere che Israele abbia subito l’onta del 7 ottobre, quando in realtà di sconfitte anche gravi, nell’eterna battaglia tra Israele ed i suoi nemici, ve ne sono molte e spesso queste sconfitte, al di la della politica, sono generate dall’uso eccessivo della tecnologia. Ci si affida troppo alla tecnologia e scartando il fattore umano, o HUMINT, come viene chiamata nel linguaggio di intelligence, finisce per tradire lo stesso utilizzatore.

Conosciuto come il “disastro dello Shayetet”, è il titolo che viene dato ad una operazione dei commando di Marina di Tel Aviv, che nel settembre del 1997, vennero uccisi dagli esponenti di Hezbollah nei pressi della spiaggia di Ansariyeh in Libano.

Il commando la sera del 4 settembre 1997, aveva l’incarico di eliminare alcuni membri di Hezbollah tra cui Haldoun Haidar, ed anche se Haidar non rivestiva incarichi di alto rango nel gruppo del partito di Dio – Hezbollah, era comunque una minaccia per Israele. Si decise quindi di procedere ad una operazione militare in territorio nemico, ed il piano prevedeva il posizionamento di diverse cariche esplosive lungo un percorso stradale, che era solito usare Haidar ed i suoi uomini.

Un segnale radio – come appunto con i cercapersone – avrebbe attivato le cariche esplosive, ed eliminato il target. Qualcosa però andò storto quella sera, e l’intero commando dei soldati di Tel Aviv venne eliminato, dodici uomini vennero uccisi tra bombe lanciate ed il conflitto a fuoco seguente. Hezbollah aveva anticipato le mosse degli uomini di Tel Aviv e tese un’imboscata al gruppo, almeno questa è la versione ufficiale. In realtà forti della lezione appresa con la morte di Musavi, gli uomini di Hezbollah iniziarono a studiare gli UAV ed il loro funzionamento, e dopo aver intercettato le comunicazioni del drone in ricognizione che aveva fornito i dati per l’operazione della Flottiglia 13 dello Shayetet di Tel Aviv, mise in atto la contro mossa. Israele aveva sottovalutato le informazioni HUMINT forse perché aveva affidato alla tecnologia dei droni l’esito dell’operazione. Hezbollah con molta probabilità riuscì a prevenire l’attacco mescolando invece tecnologia e HUMINT, con agenti che Israele era convinta lavorassero per l’intelligence di Tel Aviv ed invece svolgevano il doppio gioco, ed eliminò l’intero gruppo di fuoco giunto da Israele.

Le notizie di questi giorni che attraversano l’Ungheria, Taiwan, vedono coinvolte società fittizie costruite nello schema delle scatole cinesi, e rappresentano l’ennesima spy-story ad alto tasso tecnologico, in una guerra che si protrae da sempre e che forse, neanche l’intelligenza artificiale riuscirà a fermare, anzi molto probabilmente la neo tecnologia AI, sarà nuovo volano per altre azioni di guerra. Quindi non sorprendetevi.

L'articolo Israele: Il Connubio tra Tecnologia, Cyber Warfare e Mondo Moderno proviene da il blog della sicurezza informatica.


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DK9x03 - Altman non capisce
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DK9x03 - Altman non capisceSam Altman posta sul suo blog la solita litania di meraviglie future per imbonire gli investitori.Non ce ne fregherebbe nulla se non fosse che fra le righe traspare una sorpresa: non sa di cosa sta parlando.spreaker.com/episode/dk9x03-al…api.spreaker.com/download/epis…


DK9x03 - Altman non capisce


Sam Altman posta sul suo blog la solita litania di meraviglie future per imbonire gli investitori.
Non ce ne fregherebbe nulla se non fosse che fra le righe traspare una sorpresa: non sa di cosa sta parlando.


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DCRat colpisce la Russia! Come la tecnica dell’HTML Smuggling distribuisce malware
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DCRat colpisce la Russia! Come la tecnica dell’HTML Smuggling distribuisce malwareGli specialisti di Netskope netskope.com/blog/dcrat-target… hanno scoperto una nuova campagna che utilizza DCRat (DarkCrystal redhotcyber.com/post/remote-ac…), diretta contro gli utenti di lingua russa. Il redhotcyber.com/post/la-storia… viene distribuito utilizzando


DCRat colpisce la Russia! Come la tecnica dell’HTML Smuggling distribuisce malware


Gli specialisti di Netskope hanno scoperto una nuova campagna che utilizza DCRat (DarkCrystal RAT), diretta contro gli utenti di lingua russa. Il malware viene distribuito utilizzando la tecnica del contrabbando HTML (smuggling HTML) e l’imitazione delle pagine TrueConf e VK Messenger in russo.

I ricercatori sottolineano che questo è il primo caso rilevato di diffusione di malware in questo modo. In precedenza, i vettori di consegna includevano siti Web compromessi o falsi, e-mail di phishing con allegati PDF o documenti Microsoft Excel con macro.

“La tecnica di contrabbando HTML è principalmente un meccanismo di consegna dei payload”, scrivono i ricercatori. “Il payload può essere incorporato nel file HTML stesso o ricevuto da una risorsa remota.”

Ricordiamo che il contrabbando HTML implica l’uso di funzioni HTML5 e JavaScript legittime per creare ed eseguire malware. Cioè, gli aggressori “introducono” codice dannoso nel computer della vittima utilizzando script speciali incorporati in un file HTML.

Un file HTML di questo tipo può essere distribuito tramite siti Web falsi o campagne di spam. Dopo aver eseguito il file attraverso il browser della vittima, il payload nascosto viene decodificato e scaricato sulla macchina. In futuro, gli aggressori di solito utilizzano l’ingegneria sociale per convincere la vittima ad aprire un payload dannoso.

Quando vengono aperti in un browser, scaricano automaticamente su disco un archivio ZIP protetto da password nel tentativo di evitare il rilevamento. Il payload dell’archivio ZIP contiene un archivio RarSFX nidificato con file trueconf.ru.exe o vk.exe. Il lancio di una simile “applicazione” ha infine portato alla distribuzione del malware DCRat MaaS sul computer della vittima.

Dark Crystal RAT è un Trojan di accesso remoto (RAT) modulare distribuito come Malware-as-a-Service (MaaS) ed è in circolazione dal 2018. È scritto in C# e ha le classiche funzionalità RAT: esecuzione di comandi shell, keylogging, furto di file, credenziali e così via.

L'articolo DCRat colpisce la Russia! Come la tecnica dell’HTML Smuggling distribuisce malware proviene da il blog della sicurezza informatica.


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ROG Ally Community Rebuilds The Proprietary Asus eGPU
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ROG Ally Community Rebuilds The Proprietary Asus eGPUAs far as impressive hacks go, this one is more than enough for your daily quota. You might remember the ROG Ally, a Steam Deck-like x86 gaming console that’s graced our pages a couple lf times. Now, this is a big one – from the ROG Ally community, we get a fully open-source eGPU adapter for the ROG Ally


ROG Ally Community Rebuilds The Proprietary Asus eGPU


As far as impressive hacks go, this one is more than enough for your daily quota. You might remember the ROG Ally, a Steam Deck-like x86 gaming console that’s graced our pages a couple lf times. Now, this is a big one – from the ROG Ally community, we get a fully open-source eGPU adapter for the ROG Ally, built by reverse-engineering the proprietary and overpriced eGPU sold by Asus.

We’ve seen this journey unfold over a year’s time, and the result is glorious – two different PCBs, one of them an upgraded drop-in replacement board for the original eGPU, and another designed to fit a common eGPU form-factor adapter. The connector on the ROG Ally is semi-proprietary, but its cable could be obtained as a repair part. From there, it was a matter of scrupulous pinout reverse-engineering, logic analyzer protocol captures, ACPI and BIOS decompiling, multiple PCB revisions and months of work – what we got is a masterpiece of community effort.

Do you want to learn how the reverse-engineering process has unfolded? Check out the [url=https://github.com/osy/XG_Mobile_Station/blob/main/Docs/Diary.md]Diary.md[/url] – it’s certainly got something for you to learn, especially if you plan to walk a similar path; then, make sure to read up all the other resources on the GitHub, too! This achievement follows a trend from the ROG Ally community, with us having featured dual-screen mods and battery replacements before – if it continues the same way, who knows, maybe next time we will see a BGA replacement or laser fault injection.


hackaday.com/2024/10/01/rog-al…


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Xiaomi M365 Battery Fault? Just Remove A Capacitor
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Xiaomi M365 Battery Fault? Just Remove A CapacitorElectric scooters have long been a hacker’s friend, Xiaomi ones in particular – starting with M365, the Xiaomi scooter family has expanded a fair bit. They do have a weak spot, like many other devices – the battery, something you expect to wear out.Let’s say, one day the scooter’s diagnostics app shows one section of the battery


Xiaomi M365 Battery Fault? Just Remove A Capacitor


Electric scooters have long been a hacker’s friend, Xiaomi ones in particular – starting with M365, the Xiaomi scooter family has expanded a fair bit. They do have a weak spot, like many other devices – the battery, something you expect to wear out.

Let’s say, one day the scooter’s diagnostics app shows one section of the battery going way below 3 volts. Was it a sudden failure of one of the cells that brought the whole stage down? Or perhaps, water damage after a hastily assembled scooter? Now, what if you measure the stages with a multimeter and it turns out they are perfectly fine?

Turns out, it might just be a single capacitor’s fault. In a YouTube video, [darieee] tells us all about debugging a Xiaomi M365 battery with such a fault – a BQ76930 controller being responsible for measuring battery voltages. The BMS (Battery Management System) board has capacitors in parallel with the cells, and it appears that some of these capacitors can go faulty.

Are you experiencing this particular fault? It’s easy to check – measure the battery stages and see if the information checks out with the readings in your scooter monitoring app of choice. Could this be a mechanical failure mode for this poor MLCC? Or maybe, a bad batch of capacitors? One thing is clear, this case is worth learning from, adding this kind of failure to your collection of fun LiIon pack tidbits. This pack seems pretty hacker-friendly – other packs lock up when anything is amiss, like the Ryobi batteries do, overdue for someone to really spill their secrets!

youtube.com/embed/57ehsfN2g4Y?…


hackaday.com/2024/10/01/xiaomi…


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Gli hacker sfruttano CUPS per attaccare UNIX: Sei a rischio?
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Gli hacker sfruttano CUPS per attaccare UNIX: Sei a rischio?Il CUPS (Common redhotcyber.com/post/la-storia… Printing System) è uno dei sistemi di stampa più diffusi in ambiente UNIX e Linux. Tuttavia, se configurato in modo inappropriato, evilsocket.net/2024/09/26/Atta… può aprire le porte a gravi vulnerabilità redhotcyber.com/post/vulnerabi… di sicurezza. In questo


Gli hacker sfruttano CUPS per attaccare UNIX: Sei a rischio?


Il CUPS (Common UNIX Printing System) è uno dei sistemi di stampa più diffusi in ambiente UNIX e Linux. Tuttavia, se configurato in modo inappropriato, può aprire le porte a gravi vulnerabilità di sicurezza. In questo articolo esploreremo i principali rischi legati a CUPS, il tipo di vulnerabilità presente e come un attaccante potrebbe sfruttarla per compromettere i sistemi UNIX.

Cos’è CUPS e come funziona


CUPS è un sistema di stampa open-source utilizzato da diversi sistemi UNIX e Linux per gestire stampanti locali e di rete. Gestisce i processi di stampa, consentendo a più dispositivi e utenti di inviare e gestire i lavori di stampa su un server. Grazie alla sua vasta diffusione, CUPS è diventato uno standard per la gestione delle code di stampa in ambito server-client, ma questa diffusione lo rende anche un potenziale bersaglio per gli attaccanti.

Rischi legati a CUPS


La principale vulnerabilità di CUPS si verifica quando è esposto alla rete pubblica. Molti amministratori, per facilitare la gestione remota delle stampanti, lasciano aperti i servizi CUPS su porte accessibili da Internet. Ciò può consentire agli attaccanti di sfruttare configurazioni deboli, mancati aggiornamenti e difetti nei permessi di accesso per compromettere il sistema.

Questa esposizione può derivare da:

  1. Mancata restrizione dell’accesso alla rete: Se CUPS non è limitato a reti locali sicure, gli attaccanti esterni possono scansionare la rete per trovare server CUPS esposti e sfruttare eventuali vulnerabilità.
  2. Permessi di rete inappropriati: Configurazioni errate dei permessi di accesso possono permettere a utenti non autorizzati di accedere a funzioni di amministrazione o eseguire comandi sul sistema.
  3. Aggiornamenti mancanti: Come molti software, CUPS viene regolarmente aggiornato per risolvere vulnerabilità note. Se non viene mantenuto aggiornato, i sistemi possono essere vulnerabili a vecchi exploit.


Tipi di vulnerabilità


La vulnerabilità principale di CUPS riguarda i privilegi che l’attaccante potrebbe ottenere accedendo al sistema. CUPS, infatti, può essere configurato in modo tale da consentire la manipolazione remota di file di configurazione, permettendo all’attaccante di eseguire codice malevolo, compromettere le credenziali di amministrazione o prendere il controllo completo della macchina. Le tipologie di attacchi includono:

  • Esecuzione di comandi da remoto: Un attaccante potrebbe utilizzare CUPS per eseguire comandi sul sistema vulnerabile, sfruttando eventuali lacune nella gestione dei permessi o nelle configurazioni di rete.
  • Escalation di privilegi: Se CUPS è esposto con permessi di root o amministratore, un attaccante potrebbe elevarsi a tali privilegi, compromettendo l’intero sistema.
  • Furto di dati sensibili: Le informazioni inviate al sistema di stampa, come documenti riservati, potrebbero essere intercettate o alterate.


Come si sfrutta la vulnerabilità


Gli attaccanti utilizzano strumenti di scansione di rete come Nmap per rilevare server CUPS esposti. Una volta individuato un sistema vulnerabile, possono accedere ai file di configurazione o eseguire comandi non autorizzati. Gli exploit più comuni includono:

  • Scansione delle porte: Utilizzando strumenti di scansione, un attaccante può identificare le porte aperte che espongono il servizio CUPS.
  • Manipolazione dei file di configurazione: Se l’accesso non è adeguatamente protetto, gli attaccanti possono modificare i file di configurazione per manipolare i processi di stampa o accedere a dati sensibili.
  • Attacchi DoS (Denial of Service): In alcuni casi, gli attaccanti possono sovraccaricare il sistema di stampa inviando un gran numero di lavori di stampa, provocando un’interruzione del servizio.


Misure di protezione


Per mitigare i rischi legati a CUPS, è essenziale adottare alcune misure di sicurezza:

  1. Limitare l’accesso a CUPS alla sola rete locale: Configurare CUPS in modo che sia accessibile solo da dispositivi all’interno della rete locale, evitando l’esposizione su reti pubbliche.
  2. Aggiornamenti frequenti: Mantenere aggiornato CUPS alle ultime versioni disponibili per correggere eventuali vulnerabilità note.
  3. Firewall e regole di accesso: Implementare firewall e restrizioni di accesso per impedire che utenti non autorizzati possano connettersi al servizio.
  4. Autenticazione robusta: Abilitare l’autenticazione per l’accesso alle funzioni di amministrazione di CUPS e garantire che solo utenti autorizzati possano modificare la configurazione.


Conclusioni


Le vulnerabilità di CUPS nei sistemi UNIX possono rappresentare un rischio elevato se non gestite correttamente. L’esposizione di questi servizi sulla rete pubblica, senza adeguate protezioni, rende i sistemi vulnerabili a diversi tipi di attacchi, dall’esecuzione remota di comandi fino al furto di dati sensibili. Implementando le corrette configurazioni e mantenendo aggiornato il sistema, è possibile ridurre significativamente il rischio di compromissioni legate a CUPS.

Proteggere un sistema di stampa non significa solo garantire che i documenti arrivino correttamente alla stampante, ma anche salvaguardare l’integrità del sistema stesso e delle informazioni aziendali.

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Print Yourself Penrose Wave Tiles As An Excellent Conversation Starter
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Print Yourself Penrose Wave Tiles As An Excellent Conversation StarterAh, tiles. You can get square ones, and do a grid, or you can get fancier shapes and do something altogether more complex. By and large though, whatever pattern you choose, it will normally end up repeating on some scale or other. That is, unless you go with something like a Penrose Wave


Print Yourself Penrose Wave Tiles As An Excellent Conversation Starter


Ah, tiles. You can get square ones, and do a grid, or you can get fancier shapes and do something altogether more complex. By and large though, whatever pattern you choose, it will normally end up repeating on some scale or other. That is, unless you go with something like a Penrose Wave Tile. Discovered by mathematician Roger Penrose, they never exactly repeat, no matter how you lay them out.

[carterhoefling14] decided to try and create Penrose tiles at home—with a 3D printer being the perfect route to do it. Creating the tiles was simple—the first step was to find a Penrose pattern image online, which could then be used as the basis to design the 3D part in Fusion 360. From there, the parts were also given an inner wave structure to add further visual interest. The tiles were then printed to create a real-world Penrose tile form.

You could certainly use these Penrose tiles as decor, though we’d make some recommendations if you’re going that path. For one, you’ll want to print them in a way that optimizes for surface quality, as post-processing is time consuming and laborious. If you’re printing in plastic, probably don’t bother using these as floor tiles, as they won’t hold up. Wall tiles, though? Go nuts, just not as a splashback or anything. Keep it decorative only.

You can learn plenty more about Penrose tiling if you please. We do love a bit of maths around these parts, too. If you’ve been making your own topological creation, don’t hesitate to drop us a line.


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2024 SAO Contest: We’ve Got SAOs for your SAOs
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2024 SAO Contest: We’ve Got SAOs for your SAOsSo, we heard you like SAOs. How about some SAOs for your SAO? That’s exactly what’s going on here with [davedarko]’s SAOAO — introducing the Supercon Add-On Add-On standard hackaday.io/project/198060-yo-…, which is inspired by another minibadge standard github.com/lukejenkins/minibad… by [lukejenkins]. At most, an SAOAO is 19×19 mm and


2024 SAO Contest: We’ve Got SAOs for your SAOs


Supercon Add-On Add-Ons in production.

So, we heard you like SAOs. How about some SAOs for your SAO? That’s exactly what’s going on here with [davedarko]’s SAOAO — introducing the Supercon Add-On Add-On standard, which is inspired by another minibadge standard by [lukejenkins]. At most, an SAOAO is 19×19 mm and features a 1.27 mm 3-pin header. As [davedarko] says, no pressure to do I²C, just bring the vibes.

All SAOAOs use the Yo Dawg SAO baseplate, which has room for three SAOAOs. Because six pins is often too many to make a few LEDs light up, the SAOAO standard uses a mere three pins. Not only are SAOAOs easier to route, the pins can’t even be mirrored accidentally because VCC is in the middle, and both outside pins are grounds.

Want to get your hands on some of these bad boys? [davedarko] is bringing 100 Yo Dawg SAO baseplates and 200 SAOAOs to Supercon. But if you want to make your own, you are more than welcome to do so.

2024 Hackaday Supercon SAO Contest


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Operation Cronos Atto Terzo! Aleksandr Ryzhenkov di Evil Corp Membro Veterano di LockBit
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Operation Cronos Atto Terzo! Aleksandr Ryzhenkov di Evil Corp Membro Veterano di LockBitNegli ultimi giorni, un’importante operazione delle forze di sicurezza ha portato alla luce un collegamento critico nel panorama del redhotcyber.com/post/il-mondo-… globale. Aleksandr Ryzhenkov, 31 anni fbi.gov/wanted/cyber/aleksandr…, è stato smascherato


Operation Cronos Atto Terzo! Aleksandr Ryzhenkov di Evil Corp Membro Veterano di LockBit


Negli ultimi giorni, un’importante operazione delle forze di sicurezza ha portato alla luce un collegamento critico nel panorama del cybercrime globale. Aleksandr Ryzhenkov, 31 anni, è stato smascherato dalla National Crime Agency (NCA) britannica come membro specifico del gruppo criminale russo Evil Corp, agendo come affiliato del noto ransomware LockBit.

Utilizzando lo pseudonimo Beverley, Ryzhenkov ha creato oltre 60 varianti del ransomware LockBit, cercando di estorcere almeno 100 milioni di dollari in riscatti dalle vittime.

Il Collegamento a Evil Corp


Evil Corp è un’organizzazione criminale ben nota nel mondo della cybercriminalità, responsabile di numerosi attacchi ransomware e frodi bancarie a livello globale. Ryzhenkov, attraverso l’alias Beverley, è stato identificato come uno dei principali affiliati del gruppo LockBit, un ransomware-as-a-service (RaaS) tra i più attivi e devastanti.

Oltre a Beverley, Ryzhenkov è stato collegato all’alias mx1r e a UNC2165, una sottodivisione che rappresenta un’evoluzione degli attori affiliati a Evil Corp.

Sanzioni Internazionali


L’importanza di questa scoperta ha attirato l’attenzione delle autorità internazionali. Il Foreign, Commonwealth & Development Office (FCDO) del Regno Unito, l’Office of Foreign Assets Control (OFAC) degli Stati Uniti e il Department of Foreign Affairs and Trade (DFAT) australiano hanno tutti emesso sanzioni contro Ryzhenkov per il suo coinvolgimento in Evil Corp e per la sua attività illecita all’interno dell’ecosistema ransomware.

Le sanzioni mirano a isolare finanziariamente Ryzhenkov e a limitare le sue capacità operative, mentre le agenzie di intelligence collaborano per colpire ulteriormente la rete di supporto di Evil Corp.

Il Ruolo di OperationCronos


Grazie ai dati raccolti durante Operation Cronos, un’operazione congiunta tra diverse agenzie governative e di cybersecurity, è stato possibile identificare il collegamento tra Aleksandr Ryzhenkov e l’affiliazione a LockBit. L’operazione continua a essere una risorsa preziosa per smantellare le reti criminali, e l’analisi dei dati ottenuti permetterà di identificare molti altri cybercriminali affiliati a queste organizzazioni.

In un comunicato, le autorità hanno dichiarato: “Grazie ai dati ottenuti attraverso Operation Cronos, siamo riusciti a fare questo collegamento. Continueremo a sfruttare queste informazioni fino a quando non avremo identificato molti altri membri.”

Indagine sulla Ransomware BitPaymer


In parallelo, il Dipartimento di Giustizia degli Stati Uniti ha svelato un atto di accusa emesso nel 2023 contro Aleksandr Ryzhenkov per il suo ruolo nell’operazione del ransomware BitPaymer, un altro attacco significativo collegato a Evil Corp.

BitPaymer, noto per aver colpito organizzazioni di alto profilo in tutto il mondo, ha causato ingenti danni economici e operativi.

Conclusione


L’identificazione di Aleksandr Ryzhenkov come affiliato di LockBit rappresenta un passo cruciale nella lotta globale contro il cybercrime. Le azioni congiunte di forze di sicurezza e agenzie governative internazionali mostrano l’impegno continuo nel contrastare minacce complesse come quelle rappresentate da Evil Corp e altri gruppi di ransomware.

Il lavoro svolto da Operation Cronos e dalle sanzioni imposte dalle autorità dimostra come la collaborazione internazionale e lo sfruttamento dei dati siano strumenti fondamentali per disgregare le reti di criminalità organizzata nel cyberspazio.

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Supercon 2023: Thea Flowers Renders KiCad Projects On The Web
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Supercon 2023: Thea Flowers Renders KiCad Projects On The WebLast year’s Supercon, we’ve had the pleasure of hosting Thea [Stargirl] Flowers, who told us about her KiCanvas project, with its trials, its tribulations, and its triumphs. KiCanvas brings interactive display of KiCad boards and schematics into your browser, letting you embed your PCB’s information right


Supercon 2023: Thea Flowers Renders KiCad Projects On The Web


Last year’s Supercon, we’ve had the pleasure of hosting Thea [Stargirl] Flowers, who told us about her KiCanvas project, with its trials, its tribulations, and its triumphs. KiCanvas brings interactive display of KiCad boards and schematics into your browser, letting you embed your PCB’s information right into your blog post or online documentation.

Give the KiCanvas plugin a URL to your KiCad file, and it will render your file in the browser, fully on the fly. There’s no .jpg to update and re-upload, no jobs to re-run each time you find a mistake and update your board – your files are always up to date, and your audience is always able to check it out without launching KiCad.

Images are an intuitive representation for schematics and PCB files, but they’re letting hackers down massively. Thea’s KiCanvas project is about making our KiCad projects all that more accessible to newcomers, and it’s succeeded – nowadays, you can encounter KiCanvas schematic embeds in the wild on various hackers’ blogs. The Typescript code didn’t write itself, and neither was it easy – she’s brought a fair few war stories to the DesignLab stage.

A hacker’s passion to share can move mountains. Thea’s task was a formidable one, too – KiCad is a monumental project with a decades-long history. There are quite respectable reasons for someone to move this particular mountain – helping you share your projects quickly but extensively, and letting people learn about your projects without breaking a sweat.

Thea talks about how you will see hackers struggle with a common problem constantly when sharing PCB designs. You can embed a schematic .jpg into your blog post, but it remains just that – an image. You can’t click on a component to learn its value, or highlight a net to show where it travels, or even easily zoom in/out. Same goes for board layer images, and don’t even think about displaying different layers interactively. Hackers deserve better.

youtube.com/embed/WAbutgTGjWg?…

The core design decisions of KiCanvas are aimed at making the embed plug-and-play, helping us adopt the plugin all that much easier, no matter the environment we’re embedding it into. Keeping in line with jQuery-like developer friendliness traditions, KiCanvas is easy to add to your webpage, it has no external depedencies, and it gives you all the control over how your schematic or board is represented.
Exhibit A: a switch-case block that took 15 seconds to scroll through
Of course, Thea didn’t get the project this far without a hitch. Parsing KiCad files might feel like quite a hacker-friendly task – KiCad is open-source, its files are plaintext S-expressions, and you can even make meaningful changes to KiCad boards and schematics in a text editor. If you think that’s all there is to it, strap in, because you should listen to the horrors.

File formats change between Git revisions, parsing is tightly coupled to object structure building, notations used in different places are often incompatible. If you came to see elegant code, tough luck, it’s time for you to learn about the giant switch-case statements that bring your board to life each time you double click on a KiCad file.

From emoticon-laden developer comments you will find when you finally track down an annoying problem within the source code, to intricacies of converting S-expressions into entities representing features of your board, there is no shortage of nuances that make KiCad’s rendering great and KiCanvas’s rendering impressive, and that’s before you learn what makes up for 90% of KiCanvas plugin’s filesize.

The stories highlight the KiCanvas project as the truly impressive feat it is under the surface, and it makes sense that a hacker of Thea’s caliber would be a board member of the Open Source Hardware Association. It was a fun talk to attend, and if you haven’t had the pleasure, do treat yourself to the video – it’s a story of perfectly targeting a universal problem as far as sharing culture of hackerdom goes, a project unshakeably driven to completion despite the unapproachable demeanor of the KiCad codebase, witty remarks woven throughout. In other words, it’s exactly the kind of story making for a fun evening watch, as it’s always a pleasure to listen to a hacker who has recently returned from a successfully completed mission.

It’s Not About What You Can Do For KiCanvas


It’s not just about the talk – you’re likely in the audience for KiCanvas, we see you, don’t hide behind your resistance to exploring new cool tools. Not all new tools are worthwhile, sure, but KiCanvas very much is. The next time you want to share your project with the world, you should try out KiCanvas.

Say, are you looking at a project created with the nightly edition of KiCad? Here’s one, for reference. Maybe, you don’t even have KiCad installed on this particular computer? Either way, no need to install the latest nightlies – just go to kicanvas.org and paste your project’s GitHub URL, yes, just the URL to the repository (or click here), wait a little, and effortlessly view the KiCad board in question.


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We wrapped up the #EUTechSociety Summit with discussions on safety beyond surveillance, reigning in Big Tech & alternatives to climate technosolutionism.

💙Thank you to the EU decisionmakers, civil society, funders & press for joining us today.

Recordings & summary coming soon.

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HP WebOS TouchPad Gets With The USB-C Times
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HP WebOS TouchPad Gets With The USB-C TimesDespite HP shuttering their WebOS project some time ago, the operating system has kept a dedicated following. One device in particular, the HP TouchPad, was released just a month before webOS went under and is still a favorite among hackers — giving the device the kind of love that HP never could. [Alan Morford] from the pivotCE blog shares the


HP WebOS TouchPad Gets With The USB-C Times


Despite HP shuttering their WebOS project some time ago, the operating system has kept a dedicated following. One device in particular, the HP TouchPad, was released just a month before webOS went under and is still a favorite among hackers — giving the device the kind of love that HP never could. [Alan Morford] from the pivotCE blog shares the kind of hack that helps this device exist in a modern-day world: a USB-C upgrade for charging and data transfer.

The inline micro USB port used is a perfect fit for a USB-C upgrade, with only small amounts of PCB and case cutting required. Just make sure to get a breakout that has the appropriate 5.1 K resistors onboard, and follow [Alan]’s tutorial closely. He shows all the points you need to tap to let your TouchPad charge and transfer data to your computer, whether for firmware flashing or for daily use.

This hack doesn’t preserve the USB-OTG feature, but that’s fixable with a single WUSB3801. Apart from that, this mod is perfect for keeping your webOS tablet alive and kicking in today’s increasingly USB-C dominated world. Once you’ve done it, you might want to take care of your PlayStation 4 controllers and Arduino Uno boards, too.


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#FreeSoftware is “the corner of our infrastructure. To have digital sovereignty […] we need to invest in these core tools." - @lexelas
European digital sovereignty needs #softwarefreedom!

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Un Nuovo “Occhio” per spiare i Social? Ecco Come Potrebbe Cambiare la Sicurezza Nazionale USA
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Un Nuovo “Occhio” per spiare i Social? Ecco Come Potrebbe Cambiare la Sicurezza Nazionale USAUn ex analista della CIA ha chiesto la creazione di una nuova agenzia di intelligence negli Stati Uniti specializzata esclusivamente in dati provenienti da fonti aperte: social network e piattaforme tecnologiche. William “Chip” Usher ha condiviso


Un Nuovo “Occhio” per spiare i Social? Ecco Come Potrebbe Cambiare la Sicurezza Nazionale USA


Un ex analista della CIA ha chiesto la creazione di una nuova agenzia di intelligence negli Stati Uniti specializzata esclusivamente in dati provenienti da fonti aperte: social network e piattaforme tecnologiche. William “Chip” Usher ha condiviso la sua visione di una nuova agenzia di intelligence all’interno del documento “The Case for Creating an Open-Source Intelligence Agency“.

L’idea principale è che la nuova agenzia si concentri sull’analisi dei dati aperti (PAI) e delle informazioni disponibili in commercio (CAI). A differenza della CIA, che raccoglie informazioni dagli informatori, e della NSA, specializzata in intelligence elettronica, la propostaOpen Source Agency (OSA) si concentrerebbe sulla raccolta di dati da fonti accessibili al pubblico.

Usher ha osservato che il governo ha bisogno di un team di analisti in grado di studiare e acquisire informazioni pubbliche e commerciali. Nel suo articolo, Asher ha mostrato come gli specialisti OSINT negli Stati Uniti siano in ritardo rispetto a Cina e Russia nello studio dei dati delle grandi aziende tecnologiche americane, tra cui Apple, Amazon, Google, le piattaforme Meta e il social network X.

Secondo Usher, l’OSA sarà un organismo separato e indipendente il cui compito sarà quello di acquisire, archiviare, sviluppare e utilizzare dati open source per scopi di intelligence. La nuova agenzia non solo fornirà informazioni ad altri servizi segreti, ma le fornirà anche selettivamente a partner stranieri, al settore privato e al pubblico. In futuro, il dipartimento avrà bisogno di uno staff di 2-3mila persone e di un budget di oltre 1 miliardo di dollari.

Le questioni legate alla raccolta dei dati nel settore privato sono già state criticate. La nuova agenzia potrebbe causare ulteriori discussioni e controversie. Le agenzie di intelligence statunitensi hanno già riconosciuto l’utilizzo di dati commerciali in un rapporto del giugno 2023. Il documento raccomandava una revisione dell’attuale processo di raccolta delle informazioni, poiché ha portato al fatto che le agenzie di intelligence hanno iniziato a raccogliere dati su quasi tutte le persone.

Asher ritiene che la creazione di una nuova agenzia consentirà alle aziende di vendere direttamente i dati alle agenzie di intelligence statunitensi e aiuterà anche a migliorare le pubbliche relazioni. Inoltre, l’agenzia può diventare un braccio della comunità dell’intelligence, valutando e promuovendo rapporti del settore privato, del mondo accademico e di esperti di think tank che contribuiscono agli interessi di sicurezza nazionale.

Usher sta cercando di promuovere l’uso dei dati aperti nell’intelligence attraverso lo Special Competitive Studies Project (SCSP), guidato dall’ex dirigente di Google Eric Schmidt. La CIA ha pubblicato l’articolo di Asher, ma ha notato che le sue raccomandazioni potrebbero non coincidere con la posizione ufficiale della CIA e dell’SCSP sotto Schmidt.

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Java Ring: One Wearable to Rule All Authentications
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Java Ring: One Wearable to Rule All AuthenticationsToday, you likely often authenticate or pay for things with a tap, either using a chip in your card, or with your phone, or maybe even with your watch or a Yubikey. Now, imagine doing all these things way back in 1998 infoworld.com/article/2165096/… with a single wearable device that you could shower or swim with. Sound


Java Ring: One Wearable to Rule All Authentications


Today, you likely often authenticate or pay for things with a tap, either using a chip in your card, or with your phone, or maybe even with your watch or a Yubikey. Now, imagine doing all these things way back in 1998 with a single wearable device that you could shower or swim with. Sound crazy?

These types of transactions and authentications were more than possible then. In fact, the Java ring and its iButton brethren were poised to take over all kinds of informational handshakes, from unlocking doors and computers to paying for things, sharing medical records, making coffee according to preference, and much more. So, what happened?

Just Press the Blue Dot


Perhaps the most late-nineties piece of tech jewelry ever produced, the Java Ring is a wearable computer. It contains a tiny microprocessor with a million transistors that has a built-in Java Virtual Machine (JVM), non-volatile storage, and an serial interface for data transfer.

A family of Java iButton devices, including the Java Ring, a Java dog tag, and two Blue Dot readers -- one parallel, one serial.A family of Java iButton devices and smart cards, including the Java Ring, a Java dog tag, and two Blue Dot readers. Image by [youbitbrain] via redditTechnically speaking, this thing has 6 Kb of NVRAM expandable to 128 Kb, and up to 64 Kb of ROM (PDF). It runs the Java Card 2.0 standard, which is discussed in the article linked above.

While it might be the coolest piece in the catalog, the Java ring was just one of many ways to get your iButton. But wait, what is this iButton I keep talking about?

In 1989, Dallas Semiconductor created a storage device that resembles a coin cell battery and uses the 1-Wire communication protocol. The top of the iButton is the positive contact, and the casing acts as ground. These things are still around, and have many applications from holding bus fare in Istanbul to the immunization records of Canadian cows.

For $15 in 1998 money, you could get a Blue Dot receptor to go with it for sexy hardware two-factor authentication into your computer via serial or parallel port. Using an iButton was as easy as pressing the ring (or what have you) up against the Blue Dot.

Indestructible Inside and Out, Except for When You Need It

The mighty Java Ring on my left ring finger.It’s a hefty secret decoder ring, that’s for sure.
Made of of stainless steel and waterproof grommets, this thing is built to be indestructible. The batteries were rated for a ten-year life, and the ring itself for one million hot contacts with Blue Dot receptors.

This thing has several types of encryption going for it, including 1024-bit RSA public-key encryption, which acts like a PGP key. There’s a random number generator and a real-time clock to disallow backdating transactions. And the processor is driven by an unstabilized ring oscillator, so it constantly varies its clock speed between 10 and 20 MHz. This way, the speed can’t be detected externally.

But probably the coolest part is that the embedded RAM is tamper-proof. If tampered with, the RAM undergoes a process called rapid zeroization that erases everything. Of course, while Java Rings and other iButton devices maybe be internally and externally tamper-proof, they can be lost or stolen quite easily. This is part of why the iButton came in many form factors, from key chains and necklaces to rings and watch add-ons. You can see some in the brochure below that came with the ring:
The front side of the Java Ring brochure, distributed with the rings.

The Part You’ve Been Waiting For


I seriously doubt I can get into this thing without totally destroying it, so these exploded views will have to do. Note the ESD suppressor.
An exploded view of the Java Ring showing the component parts.The construction of the iButton.

So, What Happened?


I surmise that the demise of the Java Ring and other iButton devices has to do with barriers to entry for businesses — even though receptors may have been $15 each, it simply cost too much to adopt the technology. And although it was stylish to Java all the things at the time, well, you can see how that turned out.

If you want a Java Ring, they’re on ebay. If you want a modern version of the Java Ring, just dissolve a credit card and put the goodies in resin.


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The Challenges Of Charging Drones From Power Lines
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The Challenges Of Charging Drones From Power LinesDrones that charge right on the power lines they inspect is a promising concept, but comes with plenty of challenges. The Drone Infrastructure Inspection and Interaction (Diii) Group sdu.dk/en/diii of the University of South Denmark is tackling these challenges head-on.The gripper youtube.com/watch?v=zDUGltWmXO… for these drones


The Challenges Of Charging Drones From Power Lines


Drones that charge right on the power lines they inspect is a promising concept, but comes with plenty of challenges. The Drone Infrastructure Inspection and Interaction (Diii) Group of the University of South Denmark is tackling these challenges head-on.

The gripper for these drones may seem fairly straightforward, but it needs to inductively charge, grip, and detach reliably while remaining simple and lightweight. To attach to a power line, the drone pushes against it, triggering a cord to pull the gripper closed. This gripper is held closed electromagnetically using energy harvested from the power line or the drone’s battery if the line is off. Ingeniously, this means that if there’s an electronics failure, the gripper will automatically release, avoiding situations where linemen would need to rescue a stuck drone.Accurately mapping power lines in 3D space for autonomous operation presents another hurdle. The team successfully tested mmWave radar for this purpose, which proves to be a lightweight and cost-efficient alternative to solutions like LiDAR.

We briefly covered this project earlier this year when details were limited. Energy harvesting from power lines isn’t new; we’ve seen similar concepts applied in government-sanctioned spy cameras and border patrol drones. Drones are not only used for inspecting power lines but also for more adventurous tasks like clearing debris off them with fire.

youtube.com/embed/zDUGltWmXOU?…

youtube.com/embed/MORFX3CFygk?…


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The #EUTechSociety Summit is buzzing with opportunities for networking & ideas exchange!✨

It’s inspiring to see civil society & EU decision-makers engaging on topics like digital austerity, a fairer digital economy, EU digital enforcement strategy & building a better internet.

📸 @Omarhavana

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Dutch oppose Hungary’s approach to EU child sexual abuse regulation
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Dutch oppose Hungary’s approach to EU child sexual abuse regulationThe Netherlands' government and opposition are both against the latest version of the controversial EU regulation aimed at detecting online child sexual abuse material (CSAM), according to an official position and an open letter published on Tuesday (1 October).euractiv.com/section/law-enfor…


Dutch oppose Hungary’s approach to EU child sexual abuse regulation


The Netherlands' government and opposition are both against the latest version of the controversial EU regulation aimed at detecting online child sexual abuse material (CSAM), according to an official position and an open letter published on Tuesday (1 October).


euractiv.com/section/law-enfor…


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FPF Submits Comments to Inform New York Children’s Privacy Rulemaking Processes
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@privacy
At the end of the 2024 legislative session, New York State passed a pair of bills aimed at creating heightened protections for children and teens online. One, the New York Child Data Protection Act (NYCDPA), applies to a broad range of online services that are “primarily directed to children.” The

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Key Group: another ransomware group using leaked builders
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Key Group: another ransomware group using leaked buildersKey Group, or keygroup777, is a financially motivated ransomware group primarily targeting Russian users. The group is known for negotiating with victims on Telegram and using the Chaos ransomware builder.The first public report on Key Group’s activity was released in 2023 by BI.ZONE, a cybersecurity solutions


Key Group: another ransomware group using leaked builders


Key Group, or keygroup777, is a financially motivated ransomware group primarily targeting Russian users. The group is known for negotiating with victims on Telegram and using the Chaos ransomware builder.

The first public report on Key Group’s activity was released in 2023 by BI.ZONE, a cybersecurity solutions vendor: the attackers drew attention when they left an ideological note during an attack on a Russian user, in which they did not demand money. However, according to our telemetry, the group was also active in 2022. Both before and after the attack covered in the BI.ZONE report, the attackers demanded that money be transferred to a Bitcoin wallet.

We tracked Key Group’s activity from the start of their attacks and found that the group used not only Chaos but also other leaked ransomware builders. By analyzing the samples created with their help, we were able to find loaders and malicious URLs on GitHub that showed a connection between the group and previously unknown attackers.

Timeline of Key Group’s activity


The first variants of ransomware from Key Group’s arsenal were discovered in April 2022. At that time, the group was using the source code of Xorist.

In August 2022, Key Group added the Chaos builder to its toolkit. Notably, on June 30, 2022, the creator of Chaos announced the launch of a RaaS (Ransomware-as-a-Service) partnership program.

In the Chaos variant, a new extension
.huis_bn was added to encrypted files, and in the ransom note, the attackers requested that victims send a message on Telegram. This note contained information in both Russian and English and went under the title “HOW TO DECRYPT FILES”:Attention! All your files are encrypted!
To restore your files and access them,
send an SMS with the text C32d4 to the User Telegram @

[redacted]You have 1 attempts to enter the code. If this
amount is exceeded, all data will irreversibly deteriorate. Be
careful when entering the code!

Glory @huis_bn
Ваши файлы зашифрованы!
Чтобы восстановить свои файлы и получить к ним доступ,
отправьте смс с текстом C32d4 Юзеру Телеграм @
[redacted]The next Key Group samples based on Chaos were discovered in January 2023. Throughout the year, the group used this ransomware, primarily changing only the content of the ransom note.

Starting in April 2023, the attackers were active on the DarkStore forum in the dark web. They targeted Telegram channels with spam raids and tested the publicly available remote access Trojan NjRat, which has keylogging, stealing, reverse shell, and USB propagation capabilities.

In the summer of 2023, a new sample of Chaos from Key Group was discovered, named
warnep.exe (MD5: C2E1048E1E5130E36AF297C73A83AFF6).
The content of the note was significantly different from previous ones and was of an ideological nature. Key Group no longer provided contact information but declared its motives.

Note from Key Group
Note from Key Group

In August 2023, we discovered the group using the Annabelle ransomware (MD5: 05FD0124C42461EF553B4B17D18142F9).

This ransomware is named after the American horror film “Annabelle”. The sample observed in Key Group’s attacks encrypts files and includes an MBR locker (MD5: D06B72CEB10DFED5ECC736C85837F08E), as well as the following built-in evasion techniques.

  1. Disabling Windows Firewall:
    NetSh Advfirewall set allprofiles state off
  2. Disabling Windows Defender:
    HKLM\SOFTWARE\Policies\Microsoft\Windows Defender\
    "DisableAntiSpyware" = 1
    "DisableRealtimeMonitoring" = 1
  3. Disabling UAC:
    HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System
    "EnableLUA" = 0
  4. Disabling the Registry Editor:
    HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System
    "DisableRegistryTools" = 0
  5. Disabling the Run command from the Windows Start menu:
    HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\Explorer
    "NoRun" = 1
  6. Modifying Image File Execution Options by setting the RIP value instead of the debugger path for some processes, preventing them from launching correctly:
    HKLM\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Image File Execution Options\
    [process] "Debugger" = "RIP"
  7. Deleting shadow copies:
    "vssadmin delete shadows /all /quiet"

The ransomware adds the
.Keygroup777tg.EXE extension to the encrypted files. After encryption, it restarts the computer and displays the following screens:
Screen from Annabelle (displayed immediately after encrypting files)
Screen from Annabelle (displayed immediately after encrypting files)

Screen from the MBR locker included in the Annabelle ransomware (displayed after reboot)
Screen from the MBR locker included in the Annabelle ransomware (displayed after reboot)

Around the same time, a sample of the Slam ransomware (MD5: 09CE91B4F137A4CBC1496D3791C6E75B) was detected in Key Group attacks. The Slam builder was also made publicly available back in 2021.

The Slam ransomware uses the AES-CBC encryption algorithm. It also utilizes the IP Logger service to track infected victims.

Upon execution, the ransomware encoded file names using Base64 and added the
.keygroup777tg extension.
In September 2023, a wiper based on the RuRansom builder (MD5: 1FED852D312031974BF5EB988904F64E) was found.

RuRansom is a wiper that emerged in 2022 and targets Russia. The malware is written in .NET and uses the AES-CBC encryption algorithm to encrypt files. The Key Group variant is distributed under the name “Россия-обновление.docs.exe” (Russia-update) with a note modified for the group’s objectives:

Note from Key Group (RuRansom sample)
Note from Key Group (RuRansom sample)

Around the same time as the Key Group-branded RuRansom instances, a sample of another ransomware, UX-Cryptor, was observed in the attackers’ activities. It is also written in .NET (MD5: 6780495DAD7EB372F1A660811F4894A6).

Instead of encrypting files, this sample terminates the
explorer.exe process.taskkill.exe /im Explorer.exe /f
It sets the following text on the current screen using the .NET method
System.Windows.Forms.Label.set_Text:
Message from UX-Cryptor
Message from UX-Cryptor

After that, UX-Cryptor additionally saves the ransom note in a file named
info-0v92.txt, using output redirection of the echo command:cmd.exe /c cd "%systemdrive%\Users\Public\Desktop"&attrib +h +s +r +i /D & echo [%RANDOM%]
Ooops! Your files are encrypted by the keygroup777tg hacker group! Telegram for contact:
@[redacted] 1>info-0v92.txt & attrib -h +s +r info-0v92.txt
UX-Cryptor includes several methods for persistence and detection evasion. For example, it overwrites the registry key
Software\Microsoft\Windows\CurrentVersion\Explorer\RunMRU:"Software\Microsoft\Windows\CurrentVersion\Explorer\RunMRU\MRUList" = "abc"
The
RunMRU key is used by incident response specialists to examine commands executed through the Run utility.
In February 2024, Key Group switched from Chaos to the Hakuna Matata ransomware (MD5: DA09FCF140D3AAD0390FB7FAF7260EB5). The Hakuna Matata builder was published on the dark web in July 2023.

The Hakuna Matata variant encrypts files using AES-CBC and adds an extension of five random characters. Below is a snippet of Hakuna Matata running in our sandbox.

Snippet of the Hakuna Matata execution process
Snippet of the Hakuna Matata execution process

After encryption, the sample saves a file named
keygroup777.txt in the system and refers to it in a message set as the desktop wallpaper:
Hakuna Matata message on the desktop
Hakuna Matata message on the desktop

Contents of the note:
Your Files Have Been Locked With keygroup777 Ransomware
you have to pay Bitcoin for Unlock Process
you can send a little file (less than 1 or 2 mb) for Decryption test (if we assume file is important we may ask you to Send another one)
Contact Us and Pay and get Decryption
Contact Our Email:******@yandex.ru
in Case of no reply from Email send message to my telegram id below
Telegram ID:@
[redacted]Your ID:4062********
In early March 2024, we discovered a Key Group sample based on the Judge/NoCry ransomware (MD5: 56F5A95FFA6F89C24E0880C519A2AA50).

The NoCry variant encrypts files using AES-256-CBC and adds the
.Keygroup777tg extension. The key used for encryption is generated based on the victim’s system data and sent to a C2 server in plain text, allowing the files to be decrypted without the attackers’ involvement.
It’s worth noting that instead of the C2 server address, Key Group provided a link to the Telegram channel
hxxps://t[.]me/s/SBUkr, to which the victim’s data and the encryption key were added in the following format:hxxps://t[.]me/s/SBUkr?[username]_[generated_id]=
[generated_key]The channel’s theme is not related to ransomware and consists of political news. This scheme does not involve the attackers obtaining the data.

Indicating the C2 server in code
Indicating the C2 server in code

Function for sending requests to C2 server
Function for sending requests to C2 server

Detonation of Judge/NoCry
Detonation of Judge/NoCry

A complete timeline of Key Group’s use of various ransomware families is presented below.

Use of leaked Key Group builders
Use of leaked Key Group builders

Delivery and infection


To deliver the Chaos and Xorist ransomware to the victim’s computer, Key Group used multi-stage loaders.

We discovered an LNK file that was likely distributed via phishing emails. The LNK file contained an obfuscated PowerShell command that downloaded an SFX archive (self-extracting archive) from a remote resource:

Deobfuscated command:

Upon extraction, the SFX archive saved another loader to the system. It downloaded another SFX archive containing a sample of the Chaos ransomware (MD5: C910DA0BAA2E08CEFCE079D1F7CB3469), as well as a separate loader that downloaded a sample of the Xorist ransomware (MD5: E0C744162654352F5E048B7339920A76).

The contents of the notes from the two ransomware variants were identical.

In October 2022, we discovered another loader that delivered a variant of Chaos (MD5: F93695564B97F03CC95CA242EDCFB5F8). The loader uses the .NET method
WebClient.DownloadData to download the ransomware (MD5: D655E77841CF6DB3008DCD60C9C5EB18) from a GitHub repository:hxxps://raw.githubusercontent[.]com/max444432/RMS2/main/dfff.exe
While studying this repository, we found the already familiar RuRansom wiper, the Hakuna Matata ransomware, as well as a sample of J-Ransomware/LoveYou and the NjRat remote access Trojan.

Persistence methods


Xorist

The first discovered sample of Key Group, the Xorist ransomware, established persistence in the system by changing file extension associations. When a file with the
.huis_bn extension, which was added to encrypted files, was opened, the ransomware would launch:HKLM\SOFTWARE\Classes\.huis_bn = "LGDAGXRNCRZHPLD"

HKLM\SOFTWARE\Classes\LGDAGXRNCRZHPLD\shell\open\command =
"C:\Users\[redacted]\AppData\Local\Temp\fj6qD14qWC1unS2.exe"
The ransomware also added itself to startup:
HKLM\SOFTWARE\WOW6432Node\Microsoft\Windows\CurrentVersion\Run
"Alcmeter" = "C:\Users\[redacted]\AppData\Local\Temp\fj6qD14qWC1unS2.exe"
Chaos

The Chaos ransomware (MD5: C910DA0BAA2E08CEFCE079D1F7CB3469) copied itself to
$user\$appdata\cmd.exe and executed this file as a new process. The new process, in turn, created a new file in the startup folder: $user\$appdata\Microsoft\Windows\Start Menu\Programs\Startup\cmd.url, containing the following:URL=file:///$user\$appdata\cmd.exe
Annabelle

The Annabelle ransomware added itself to the
Run and Winlogon registry keys.HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Run
"UpdateBackup" = "$selfpath"

HKLM\SOFTWARE\Wow6432Node\Microsoft\Windows\CurrentVersion\Run
"UpdateBackup" = "$selfpath"

HKLM\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon
"Shell" = "$selfpath"
UX-Cryptor

UX-Cryptor added itself to the following registry keys to maintain persistence in the system:
HKU\$usersid\Software\Microsoft\Windows NT\CurrentVersion\Winlogon
"Shell" = "$selfpath"

HKU\$usersid\Software\Microsoft\Windows\CurrentVersion\Run
"WindowsInstaller" = "$selfpath -startup"
"MSEdgeUpdateX" = "$selfpath"

HKU\$usersid\Software\Microsoft\Windows\CurrentVersion\RunOnce
"System3264Wow" = "$selfpath --init"
"OneDrive10293" = "$selfpath /setup"
"WINDOWS" = "$selfpath --wininit"
Additionally, it added the following executable file names to startup:
HKU\$usersid\Software\Microsoft\Windows\CurrentVersion\Run
"WIN32_1" ="AWindowsService.exe"
"WIN32_2" = "taskhost.exe"
"WIN32_3" = "windowsx-c.exe"
"WIN32_4" = "System.exe"
"WIN32_5" = "_default64.exe"
"WIN32_6" = "native.exe"
"WIN32_7" = "ux-cryptor.exe"
"WIN32_8" = "crypt0rsx.exe"
Judge/NoCry

The NoCry sample also has the ability to add itself to the startup folder:
$user\$appdata\Microsoft\Windows\Start Menu\Programs\Startup\sPo90bqY4LpMYsfC.exe

Victims


Key Group primarily targets Russian-speaking users. The ransom notes were often written in Russian or included a translation into Russian.

Message from Key Group
Message from Key Group

About the attackers


The
.huis_bn extension added to encrypted files in the early versions of Key Group samples, Xorist and Chaos, refers to a Russian-speaking closed group “huis”, known in the shadow community. The group primarily conducted spam raids on Telegram channels. We suspect that Key Group is a subsidiary project of the “huis” group. The group is currently inactive and, according to the latest Telegram post, has been rebranded.
Logo of the huis group (source: tgstat.com)
Logo of the huis group (source: tgstat.com)

We also checked the GitHub repository from which the ransomware and wipers were downloaded. The account max444432 is subscribed to the account
hxxps://github[.]com/json1c. Its description contains the following contact on Telegram: hxxps://t[.]me/json1c.
Accounts subscribed to max444432 on GitHub
Accounts subscribed to max444432 on GitHub

Description of the json1c account on GitHub
Description of the json1c account on GitHub

The Telegram user Bloody-Lord Destroyer-Crew, also known as “bloody” in the shadow community, was the owner of the “huis” group.

Preview of the @json1c account on Telegram
Preview of the @json1c account on Telegram

In the latest versions of the ransomware, the ransom notes listed the Telegram account
@[redacted] (DarkZeus) as a contact, who is one of the administrators of the Key Group channel:
Preview of the account on Telegram
Preview of the account on Telegram

This is a closed Telegram channel. Previously, the group also had an open channel
@[redacted], which the attackers used to communicate with victims; however, it is no longer available. In that channel, the group published news about Key Group, updates from other channels of both technical and ideological nature, leaks from other Telegram sources, and announcements about spam raids.
Invitation link to join the closed Key Group channel
Invitation link to join the closed Key Group channel

In the GitHub repository used by the attackers to distribute malware, we also found samples of
telegram-raid-botnet.exe (Hakuna Matata) and NoCry, uploaded in February 2024. The name of the first sample resonates with the activities of the “huis” group.

Commits for uploading samples to the RMS2 repositoryCommits for uploading samples to the RMS2 repository

Commits for uploading samples to the RMS2 repository

In one of the ransom notes (MD5: 7E1577B6E42D47B30AE597EEE720D3B1), the attackers asked “not to touch Nikita’s channels, bloody and nacha”, which again indicates a connection to “huis”:
I am the owner of keygroup777 and I was enraged by the work of the telegram technical support, there is no point in paying a ransom, only the contract Pavel Durov if you want to stop it, write
[redacted]and I ask you not to touch Nikita's channels, bloody and nacha will be much worse
time goes by, hello from Root)
and quote Durov, Everything is just beginning - knees will become your only pose.

Takeaways


As we can see, Key Group, like many hacktivists, does not develop its own malware but actively uses leaked ransomware builders, and the primary C2 channel is a GitHub repository, which makes it easy to track their activities. It’s also important to note that ransomware source code is increasingly becoming publicly available, and the number of groups using leaked builders or ransomware source code is on the rise. In the future, it is likely that there will be even more such groups.

Indicators of compromise

D2FFADEC5AA0A5CDD5E5CF1A7901EB29Ransomware 1-st stage downloader
5AA991C89A6564A3C6351052E157F9D8Ransomware 2-nd stage dropper (SFX archive) – RegAsm.exe
BC9B44D8E5EB1543A26C16C2D45F8AB7Xorist ransomware – 1.exe
ACEA7E35F8878AEA046A7EB35D0B8330Chaos ransomware – 2.exe
2737B1B3835242989F544A18D2DBAEFFPowerShell LNK downloader
843F24AFDA0E1B375F00A00B39CF4A6ERansomware 1-st stage dropper (SFX archive)
636E1A7083439E77920C5C902DE8E2AERansomware 2-nd stage downloader
1113BFBC7F3A62C87F1E090C57FA5D14Ransomware 3-rd stage dropper (SFX archive)
C910DA0BAA2E08CEFCE079D1F7CB3469Chaos ransomware – 1.exe
A0165523B0CB1A3AD28B995F100CC3C3Xorist ransomware downloader – 2.exe
E0C744162654352F5E048B7339920A76Xorist ransomware – RegAsm.exe
F93695564B97F03CC95CA242EDCFB5F8Chaos ransomware downloader
D655E77841CF6DB3008DCD60C9C5EB18Chaos ransomware – RegAsm.exe
BC9B44D8E5EB1543A26C16C2D45F8AB7Xorist ransomware
CE9D5037EF8AB5C5677263E88E87464BXorist ransomware
A7ED00A3B0F827A3DCCC69D8908F5A22Xorist ransomware
604FD6351A04B871DC77B6C7AD24FF3CChaos ransomware
C2E1048E1E5130E36AF297C73A83AFF6Chaos ransomware
7E1577B6E42D47B30AE597EEE720D3B1Chaos ransomware
D655E77841CF6DB3008DCD60C9C5EB18Chaos ransomware
C910DA0BAA2E08CEFCE079D1F7CB3469Chaos ransomware
FBD7E50091E64349827D1A62947CE042Chaos ransomware
B404ACD8CFCE28DE0FCF5D2B0BE04989Chaos ransomware
7237881AF3C17426FA262EA362C2D50FChaos ransomware
0889B78C02C338DF9394D913866E540CChaos ransomware
ACEA7E35F8878AEA046A7EB35D0B8330Chaos ransomware
B1097F0A2B5B4B82E28CBD9953DD8B7CChaos ransomware
1FED852D312031974BF5EB988904F64ERuRansom
6170BF1741D344C7D9B4384BF0771135RuRansom
65CD0E68B4B5803064C6CA8BE9B05B89RuRansom
3F224ADB6164F9A9C9E39E437FD0874CRuRansom
291F9902534C323E2093D0FEE37B5187RuRansom
EDAD568267A1D83403A8A55E557C8554RuRansom
6780495DAD7EB372F1A660811F4894A6UX-Cryptor
D2B80AC7CFCB075C5BDC637A75493E47UX-Cryptor
44913214A6F04604E1B688524D9C419BUX-Cryptor
DA09FCF140D3AAD0390FB7FAF7260EB5Hakuna Matata ransomware
BA2108E9C3BF810F8B59E19C0D8DE310Hakuna Matata ransomware
7249F2373BB6ADFC60DB971B4F7A1D20Hakuna Matata ransomware
EB74803E3F3396E076517A8BE727AE0DHakuna Matata ransomware
63D8D813BC214B6F13F5EB3EE93B950AHakuna Matata ransomware
B3BF4F7CA0BB97F68CFE61136C8F26D1Hakuna Matata ransomware
E46330807AFA8A023324E01F9B9C98BFHakuna Matata dropper
46F8DE68E5348E1042461629B0B634A2Hakuna Matata ransomware
DA8419165BCC5014114B1D1934DB5DC0Hakuna Matata ransomware
56F5A95FFA6F89C24E0880C519A2AA50Judge/NoCry
09F95167104B8CCEECB7969CD5399E11Judge/NoCry
05FD0124C42461EF553B4B17D18142F9Annabelle
09CE91B4F137A4CBC1496D3791C6E75BSlam ransomware

from repository hxxps://raw.githubusercontent[.]com/max444432/RMS2/main/:

75F46171E81D6C5C81929AE6E3996257RuRansom – dlldata.exe ()
3BA80C2F430FAC5DEEC03788E5A438C3J-Ransomware/LoveYou ransomware – l.exe
8EFCF0FA4EB05EFE76A3AE28FB193606J-Ransomware/LoveYou ransomware – lLove.exe
46F8DE68E5348E1042461629B0B634A2Hakuna Matata ransomware – telegram-raid-botnet.exe
C2EDCC9211872B82475CB0EE3ADFED5DXWorm V2.2 – cheat.exe
A095507117B229ECBC53D5F3B5F35ADFNjRat – Server.exe
404D831747E7713F2EA6D859B52CE9B3NjRat – Plugin cmd.sfx.exe
5AA991C89A6564A3C6351052E157F9D8SFX archive (Xorist + Chaos) – bater.exe

URLs
hxxp://fastxstreamz.herokuapp[.]com/913915/ndp462-kb3151800-x86-x64-allos-rus.scr?hash=AgADzh
hxxp://fastxstreamz.herokuapp[.]com/913034/setupdjprog-i0w0w04g8gww4ock.exe?hash=agadox
hxxp://fastxstreamz.herokuapp[.]com/912974/3.exe?hash=agadob
hxxps://raw.githubusercontent[.]com/max444432/RMS2/main/*
make-catherine.at.ply[.]gg – C2 XWorm V2.2


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