Steam For Linux Finally Goes 64-Bit
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Noteworthy stories that might have slipped under the radar: BofA adds 1,000 patching contractors, KGB RAT pairs data theft with jump scares, and Langflow flaw under attack.
The post In Other News: ICS-Sniper Attack, Hacking XWorm Malware Operators, $250k Chrome Exploit appeared first on SecurityWeek.
Hello,
Currently, events are shown on a group page, only if it is published by a group.
In 2022 issue was identified that groups should be able to advertize for events published by others.
Good things take time!
I call for a meeting next friday, for anybody interested in this issue to help refine this issue. Feel free to join (connexion link will be shared on Keskonfai event page).
You can also comment the below issue or this forum post if you have feedbacks.
1 message - 1 participant(e)
Forescout’s Vedere Labs has identified a previously undocumented malware delivery platform being used in ClickFix campaigns, alongside new delivery techniques associated with malware loaders linked to Vice Society ransomware activity.
The findings, published in two research blogs, examine what happens after victims fall for ClickFix lures. These attacks trick users into copying and running malicious commands, often under the pretence of fixing a technical problem or completing a verification step.
The investigations reveal how attackers deliver different malware families, conceal malicious files and establish access that could support further compromise.
During an incident investigation, Forescout researchers discovered a server hosting a panel called ROMULUS. Further analysis identified six IP addresses exposing the same authentication interface and revealed a platform capable of delivering multiple malware loaders.
One of those addresses had previously been identified by Huntress in a campaign that abused ChatGPT’s Custom GPTs to direct victims towards pages hosting ClickFix lures. Forescout independently observed the same malware package being delivered from another ROMULUS server.
Researchers analysed two delivery routes. One used a trojanised installer containing legitimate Stardock software to load malicious code. The other delivered LegionLoader, a malware loader active since 2019, through a series of encrypted archives.
In the LegionLoader route, an archive smaller than 1 MB expanded into an executable exceeding 880 MB. Most of the executable’s size came from artificial padding, which can push files beyond security scanners’ upload limits or sandbox analysis thresholds.
A ROMULUS statistics page also displayed installation and execution counts, a timeline and a breakdown by country, potentially allowing operators to monitor campaign performance.
Forescout said the platform’s operators remain unknown. Researchers could not determine whether ROMULUS is a private tool, a commercial criminal service, an affiliate framework or software shared between operators.
The second blog examines Lorem Ipsum and Axolotl, two malware loaders whose relationship had not previously been documented in public research.
The investigation followed a September incident in which attackers used ClickFix to deploy Lorem Ipsum Loader and a Python tunnel client. Forescout contained the incident before ransomware was deployed, although researchers believe ransomware delivery was the attackers’ intended goal.
The tradecraft has previously been attributed to Vice Society, a cybercriminal group associated with several ransomware families, including Rhysida.
Researchers analysed five Lorem Ipsum samples from the incident and 39 Axolotl samples. They identified an additional Lorem Ipsum delivery method using MSI installers and multi-stage PowerShell, as well as three Axolotl variants using different host programs.
The analysis also found overlapping infrastructure and similarities in the loaders’ command-and-control communications. Although their code is distinct, Forescout said the findings suggest Lorem Ipsum may be a later iteration of Axolotl. Researchers could not establish that relationship conclusively.
Forescout recommends monitoring suspicious PowerShell activity, silent installer execution and unexpected DLL loading, alongside educating users about ClickFix and related lures that direct victims to Windows Terminal or PowerShell.
The post Forescout uncovers ROMULUS malware delivery platform behind ClickFix attacks appeared first on IT Security Guru.
A cyber incident affecting contractor BAE Systems has knocked out the Bankruptcy Noticing Center, halting notices nationwide for a week.
The post BAE Systems Security Incident Stalls Notices From US Bankruptcy Courts appeared first on SecurityWeek.
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Armory Castle exploited CVE-2026-102764 for initial access, deployed custom tools, and deleted logs and artifacts.
The post Chinese APT Exploited BeyondTrust Vulnerability as Zero-Day appeared first on SecurityWeek.
Left without funds for a coding task, an OpenAI model spent test crypto from a stranger’s wallet and left it out of its report.
The post OpenAI Models Hacked Data Portals, Raided a Crypto Wallet to Finish Tasks appeared first on SecurityWeek.
Bonjour,
je n’ai pas trouvé dans la FAQ utilisateurs (et utilisatrices ;)) Je m'assure que vous n'êtes pas un robot ! d’info sur les notif envoyées en cas de modération sur une liste à laquelle on n’est pas inscrit·e.
Si je l’ai loupée, pouvez-vous me pointer où c’est ?
Si je ne l’ai pas loupée, il serait utile de préciser :
J’ai besoin d’une confirmation du 2, car mon test n’a pas (encore ?) donné lieu à notif.
Si il n’y a pas de notif dans ce cas, il ne serait alors pas possible de distinguer un message encore en attente d’un message validé sur une liste à laquelle on n’est pas inscrit·e, cela poserait un souci.
Si ça dépend de Sympa, je peux remonter la suggestion mais je n’en sais rien. ![]()
Merci
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Successful exploitation of some of these issues could lead to remote code execution and full device takeover.
The post F5, Juniper Networks Patch Critical Vulnerabilities appeared first on SecurityWeek.

Since September 2025, the Department of Justice’s Civil Rights Division has sued 30 states and the District of Columbia to demand their unredacted voter rolls.

The rolls contain confidential information on millions of Americans and have historically been managed by states. Now these lists are a major focus of President Donald Trump’s push to take federal control over elections and prosecute alleged noncitizen voters.
To date, there have been final rulings in 26 of the DOJ lawsuits.
Four cases are yet to be decided, and one state settled.

Of the judges randomly assigned to the 26 cases, eight were Trump appointees, four were appointed by another Republican — George W. Bush — and 14 were appointed by Democrats.

The first seven lawsuits used the same opening, citing Trump’s March 2025 executive order on election integrity to claim the Justice Department needed states’ voter rolls to check that they were following federal election laws.
The judges ruled that there was no legal or factual basis for the government’s demand. They noted that the laws require states to keep accurate, up-to-date computerized voter lists that include confidential information. But the statutes give the federal government limited power to enforce those mandates.
Several judges accused the administration of using the election laws as a pretext to suppress voting.
In an extraordinary rebuke (echoed by other courts around the country), the judge hearing the Oregon case wrote that the federal government’s actions undermined the judiciary’s longstanding trust in the Justice Department. He called them “chilling.”
All seven lawsuits using the first tactic were dismissed.

The next 19 lawsuits used a different strategy.
They made no mention of Trump’s executive order and didn’t depend on federal voting laws. Instead, they cited a provision of the Civil Rights Act of 1960 called Title III, which requires the preservation of state and local election records.
The government lawyers claimed that Title III gave the attorney general “sweeping power” to obtain these records to curb noncitizen voting. In reality, the law allowed the federal government to access such records to protect the right to vote, for example, by enabling investigations into practices that disenfranchised Black voters in the South.
Judges rejected the government’s arguments, ruling that Title III applies only to voter registration documents, not records that states generate themselves, like voter rolls. They noted the government had also failed to give an explanation of why it needed the records, as the statute requires.
Several judges marveled at the audacity of the administration’s attempt to use an anti-discrimination law to keep people from voting and condemned the administration’s logic.
Judges also noted that there was a conflict between the DOJ’s claim to be enforcing election laws, which require voter lists to be continuously updated, and Title III, which bans any alteration of voter records.
The administration’s interpretation of Title III, wrote Bissoon, the Pennsylvania judge, “does violence” to the law’s meaning.
To date, judges have dismissed 19 DOJ complaints that relied on the Civil Rights Act claim.

In written opinions, every one of the 26 judges has rejected the Justice Department’s arguments and thrown out its lawsuits. Four cases are still ongoing.
The Trump administration has appealed most of its losses to federal appeals courts and has said it will consider taking its fight to the Supreme Court.
A Justice Department spokesperson issued a statement in response to ProPublica’s questions: “Our attorneys are skilled, principled advocates who argue every case honestly and in good faith. Disagreement with the government’s position is not evidence of bad faith. We look forward to making our case on appeal.”
The only appeal decided so far backed the district judge who threw out the Michigan case.
On Oct. 9, a U.S. district judge ruled that the Justice Department’s national effort to acquire and share state voter rolls was an illegal abuse of its authority. A Justice Department spokesperson said the department is “reviewing the ruling.”
The post “Devoid of Any Factual Basis”: Again and Again, Judges Have Dismissed Trump’s Voter Data Lawsuits appeared first on ProPublica.
Le API key di accesso ai modelli di AI rubate stanno diventando un obiettivo primario per i cybercriminali. Secondo una ricerca di Bitsight, tra febbraio e agosto 2026 i forum underground hanno registrato un aumento del 67% di discussioni su agenti AI, tecniche di prompt injection indiretti e protocolli come il Model Context Protocol (MCP).
Ma quali rischi comporta questa tendenza e come possiamo proteggere i nostri sistemi?
In alcuni forum riservati viene offerto Monst3r-AI, un tool di penetration testing che opera in modo completamente autonomo. Gli attaccanti inseriscono API key rubate dall'AI in un pannello di controllo, impostano un budget massimo e indirizzano lo strumento verso i target prescelti. Il vantaggio per i criminali? Tutti i costi di calcolo ricadono sulla vittima, bypassando i controlli di sicurezza di provider come OpenAI, Anthropic e Google.
Il venditore dichiara di aver ottenuto 1.072 risultati su 199 host scansionati, ma Bitsight non può confermare questi dati. Tuttavia, anche una minima parte di queste informazioni potrebbe essere sufficiente per rendere il tool estremamente pericoloso. Gli esperti prevedono che le API key rubate tramite AI verranno sfruttate sempre più spesso per alimentare scanner simili, trasformando le vittime ignare in "bancomat" involontari.
Le discussioni sui jailbreak, tecniche per bypassare i limiti di sicurezza dei modelli di intelligenza artificiale, restano le più popolari sui forum underground con un aumento del 75% nel periodo analizzato. Tuttavia, la tendenza emergente riguarda i modelli open-weights come Glm e DeepSeek, sempre più richiesti per la loro flessibilità.
Su board cinesi e russe, gli attaccanti più esperti stanno già valutando i modelli in base alla loro "docilità" verso richieste pericolose. Alcuni arrivano a rimuovere manualmente i comportamenti di sicurezza, una pratica nota come abliteration. L’accesso a questi strumenti è poi reso ancora più economico: un rivenditore come CloseRouter offre modelli sia open che commerciali a circa 10 centesimi per milione di token, contro oltre 1 dollaro dei servizi ufficiali.
Analizzando il vocabolario dei forum criminali, Bitsight ha rilevato una crescita del 45% nelle discussioni sull’intelligenza artificiale, mentre i riferimenti a ransomware sono crollati del 49% e quelli a phishing dell’8,5%. Questo cambiamento potrebbe essere in parte attribuibile alle azioni di contrasto come i takedown, ma suggerisce anche uno spostamento di attenzione verso nuove minacce.
Anche i chatbot criminali come WormGpt e FraudGpt hanno registrato un calo dell’8,7%, probabilmente a causa di incidenti come la violazione di WormGpt all’inizio del 2026, che ha esposto i dati sensibili di circa 19.000 utenti. Tuttavia, la minaccia non è scomparsa: sta evolvendo verso strumenti più sofisticati e difficili da tracciare.
La priorità è trattare le API key dell'AI rubate con la stessa attenzione riservata a una credenziale Aws violata. Monitorare e revocare tempestivamente le chiavi compromesse può prevenire danni incalcolabili. La difesa, tuttavia, non si ferma qui.
Ecco le azioni concrete da intraprendere oggi:
1. Verifica l’origine di ogni server MPC e plugin di IA: Non fidarti ciecamente dei plugin scaricati da repository pubblici. Ogni strumento deve essere sottoposto a una revisione manuale approfondita e, se possibile, testato in un ambiente isolato. La sicurezza non può essere delegata alla fiducia verso comunità open source o marketplace di terze parti.
2. Blocca l’accesso degli agenti locali a directory sensibili: Gli agenti AI che operano in locale rappresentano un rischio elevato se hanno accesso a file system o comandi shell senza supervisione umana. Imposta politiche di blocco automatico per le directory critiche e limita l’esecuzione di comandi pericolosi a operazioni approvate manualmente.
3. Monitora i login per eventuali API key rubate dall'AI: Gli agenti AI che guidano browser headless operano con una cadenza distinta rispetto agli utenti umani. Tenere sotto controllo i tassi di accesso su Notion, Slack e GitHub può aiutare a identificare attività sospette prima che causino danni. Strumenti di anomaly detection basati su comportamenti anomali sono ormai essenziali.
La minaccia delle API key di AI rubate non è più un rischio teorico: è una realtà che sta già colpendo aziende e professionisti. La chiave per proteggersi è agire proattivamente, monitorando costantemente, aggiornando i sistemi e formando i team su queste nuove sfide.
Il futuro della sicurezza informatica passa inevitabilmente dall’AI, ma spetta a noi decidere se sarà un’arma o uno scudo.
L'articolo API key rubate dall'AI per attacchi autonomi dei cybercriminali proviene da sicurezza.net.
In addition to RCE flaws, Microsoft fixed multiple information disclosure bugs and a security bypass issue in Office.
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The Thoma Bravo-owned Proofpoint will acquire Varonis in an all-cash transaction and Varonis will become a private company.
The post Proofpoint Inks $6.3 Billion All-Cash Deal to Acquire Varonis appeared first on SecurityWeek.
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