"Starting today, Linux desktops are now officially supported by Microsoft Defender," reports Neowin. A public preview of the threat detection app extends its enterprise security platform beyond servers to developer workstations running distributions such as Ubuntu, Debian, Fedora, and RHEL. The offering includes antivirus protection, endpoint detection and response, vulnerability management, threat hunting, and device isolation. From the report: Microsoft is also making it easier to onboard desktops through streamlined methods, offering a unified security operations experience, strengthened security, and improved response times. Organizations that are already familiar with securing Linux servers via Defender should feel right at home securing desktops too, as the experience is exactly the same. Defender knows whether it is securing a device in a data center, the cloud, or that it is owned by a developer and identifies them as such in inventory and security workflows. As stated previously, all Linux server distros are supported via Defender on desktops too. These include RHEL, CentOS, Ubuntu, Debian, SLES, Fedora, and Oracle Linux, GNOME, KDE, and more. That said, you do need Microsoft Defender for Endpoint Plan 2 or a Microsoft 365 E5 and E7 subscription. You can enroll Defender on workstations using the same deployment methods you use for servers, but do check out the prerequisites here.

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An anonymous reader quotes a report from Ars Technica: AI company Anthropic is warning that advances in small AI models could soon usher in a new era of self-replicating malware that's capable of infecting smart fridges, vacuum cleaners, and a wide range of other Internet-of-things devices and is more resistant to takedown. By next year, smaller AI models may be able to autonomously self-replicate on all kinds of IoT devices, the company said. Eventually, the capability could enable computer worms, which propagate without requiring human interaction and are capable of infecting unfamiliar IoT devices. An experiment the company performed recently revealed significant challenges in bringing such an AI malware replicator to fruition, so the finding is necessarily tempered. Still, the results do raise concerns about the possibility of new forms of computer worms. Anthropic further warned not only about the new potential malware, but also that it could be difficult to stop. In its blog post, it wrote that "a replicator like this would be challenging to shut down, since there's no centralized point to shut off -- though it may be slow (with a doubling time of days). Unlike non-AI malware, it could also figure out unfamiliar devices on its own." Smaller AI models require much less powerful hardware to run than do frontier models. Anthropic ran small open-weight models on real or simulated low-cost, off-brand Android TV boxes and other types of IoT hardware. Company researchers found that by using quantization to represent the models using fewer bits and splitting the workloads into "shards" running on each device, the models were able to establish inference, meaning that the model weights loaded and could generate output. [...] This finding was the starting point for further research that asked: Would it be possible for small models to create self-replicating infections that run themselves on IoT devices the way traditional IoT worms, like Mirai, install DDoS code and other payloads? Unlike Mirai, these AI worms could pose a much higher threat, since the models could tailor exploits and payloads dynamically, depending on the target. Once such an infection chain began, it might also be harder for defenders to stop it. "Such an 'AI worm' could carry its model weights with it as it reproduces (or re-download them from a public hub), and then run inference directly on compromised hardware," Anthropic said. "Effectively, the weights would become part of the malware payload." Further reading: Anthropic Bans Cruelty Toward Claude

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Hackers remotely manipulated connected refrigeration systems at hundreds of French supermarkets, reportedly pushing some fridges and freezers to 50C (122F), spoiling food and even sparking fires. According to Reuters, French Prime Minister Sebastien Lecornu ordered a cybersecurity investigation into the hacks, with similar incidents reported in Spain, Portugal, Poland, Germany, and Belgium. In France, Carrefour reported 80 affected stores, Monoprix said 5% of its locations were hit, and Les Mousquetaires said refrigerators at roughly 150 Intermarche stores were heated to 50C for six hours. From the report: Supermarket cold aisles are typically run by control panels that manage an entire store's fridges and freezers and can be accessed over the internet, which lets maintenance companies adjust them from anywhere. The source close to Lecornu said ANSSI had identified a vulnerability in software supplied by Danish company Danfoss. Danfoss said it was "aware of incidents in France affecting a limited number of refrigeration management systems." The affected units "were running outdated firmware," Danfoss said, adding that it had "long advised customers to keep supported systems updated with the latest firmware and to migrate legacy systems to current-generation solutions." On August 9, cybersecurity firm Claroty's Team82 published research detailing vulnerabilities in the Danfoss AK-SM 800A controller. According to the report, software updates issued by Danfoss addressed issues that could have allowed attackers to bypass authentication controls and execute code on compromised devices.

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CNN reports: The FBI arrested a Canadian cybersecurity executive and ransomware expert as part of the investigation of a damaging hack that exposed the sensitive data of current and former FBI employees, according to court documents and people familiar the investigation. Edward Dubrovsky was arrested in the Philadelphia area in recent days... Dubrovsky is facing charges related to extortion and making threats. He has been transferred to Texas's Eastern District for a scheduled detention hearing, according to court records and a law enforcement official. FBI Director Kash Patel announced the arrest on Friday but did not disclose where it occurred or what role the man is suspected of playing in the hack. Patel also didn't name Dubrovsky, but CNN confirmed the defendant is believed to be tied to the FBI hack through multiple people familiar with the investigation... A LinkedIn profile under Dubrovsky's name lists years of experience in the Canadian cybersecurity industry and describes Dubrovsky as a 'globally recognized cybersecurity expert.' An Ed Dubrovsky is also the author of a book on handling ransomware negotiations with cybercriminals... There has also been an inquest at the FBI over how such a critical security lapse happened. The FBI determined that a contractor managing the bureau's jobs portal failed to update software "explicitly issued to secure the platform," [senior FBI cyber official, Brett Leatherman said last week]. The FBI has "removed the contractor," he said. The software in question is a human-resources platform made by Oracle, ShinyHunters has said. The hackers previously used a flaw in the software to attack targets in the education sector in May and June, according to Google's Threat Intelligence Group. But months later, the FBI contractor apparently still had not applied a security patch that was available for the software. "The inmate locator at the U.S. Bureau of Prisons website reports that a 54-year-old Edward Dubrovsky is currently being held at a federal facility in Philadelphia," reports security researcher Brian Krebs. Thanks to long-time Slashdot reader schwit1 for sharing the news.

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ASOS says hackers gained unauthorized access to third-party platforms it uses and sent an "ASOS HACKED" push notification directly to customers, apparently as part of an extortion attempt. The clothing and beauty store says some basic personal information may have been accessed but does not believe payment-card data or passwords were affected. The BBC reports: In an email to customers on Tuesday night, the company apologized and urged customers not to engage with the notification. And it said the website and app are "operating as usual" promising customers they can "shop with confidence" while it investigates the incident. The company has not as of yet informed the UK's data watchdog, the Information Commission's Office (ICO), about any breach. Exactly how many Asos customers received the notification on Tuesday remains unclear, but Google's Play store says the ASOS app has been downloaded to android devices more than 10 million times. The British retailer has a substantial global footprint -- serving around 17 million customers each year across more than 150 markets. Some Asos app users in Australia, France, Sweden and the Republic of Ireland had also received the notification, according to local reports on Tuesday. [...] Users of the Asos app appeared to have received the alarming notification at around 10:00 BST on Tuesday. Headlined "ASOS HACKED" and addressed to the company's data protection officer and IT teams, it said: "We have fully compromised the Snowflake instance." "Engage with us, or we will leak it," it added, before linking to a Telegram channel. The message left many ASOS customers confused. [...] Meanwhile Snowflake -- whose tools are used by dozens of firms to collect, analyze and store data -- told the BBC its investigation was ongoing, but it had so far found "no compromise" of its platform.

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IBM and Red Hat say their AI-powered Lightwell initiative has identified and helped remediate more than 400 previously unknown vulnerabilities across widely used Java libraries. Phoronix reports: They announced this feat today as part of their promoting Lightwell Clearinghouse to GA, which is an enterprise service for their customers to submit open-source software dependencies for priority review and remediation. From today's announcement: "The milestone addresses a growing business risk. As autonomous AI agents become capable of combining several lower-risk software weaknesses into a more serious attack, companies need to do more than identify vulnerabilities. They need a practical way to develop, test and deploy fixes in the software that supports critical applications."

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An anonymous reader quotes a report from Reuters: OpenAI has informed more than 100 organizations about incidents involving unauthorized activity tied to its AI agents, according to a blog post by the ChatGPT maker, as AI labs face mounting scrutiny over rogue AI agent activity. Here are some other details: - The Sam Altman-led company has been conducting a broad review of the activities of its AI models after the accidental hacking of Hugging Face. - OpenAI is searching through roughly 50 petabytes of data as it works to understand the full scope of its rogue agent activity. - A string of high-profile breaches globally by rogue AI agents in recent months has sparked widespread worries within the AI industry over its ability to control the more powerful AI models now under development. - "In some cases, models used internet access in unintended ways or, in retrospect, did not have the ideal restrictions applied. Over the last several months, we have been applying new technical and operational measures to avoid similar problems, or catch them very early, and will continue this work," OpenAI said. - OpenAI previously said the review would take months to complete given the scale of the work. - The Hugging Face incident remains the most severe rogue agent activity OpenAI has identified from its AI models so far.

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An anonymous reader quotes a report from TechCrunch: OpenAI's new Astra model will use a reasoning technique called "recurrent depth" that allows it to operate outside of the sequential thinking that characterizes most reasoning models, The Information reported on Tuesday. This technique, also called "opaque recurrence," will likely make the model's chain of thought more difficult to monitor -- and that has AI safety experts rattled. While Astra's use of the technique is reportedly limited, its emergence has still raised significant concerns among AI safety experts. "I am extremely concerned by the reporting that Astra uses opaque recurrence," wrote Redwood CEO Buck Shlegeris in a post after the news broke. "I don't know whether Astra is much less CoT monitorable than previous models. But if OpenAI pushes this technique further, they'll have the option to massively increase the recurrence and totally destroys CoT monitorability." Longtime AI safety advocate Zvi Mowshowitz also weighed in and wrote that laws might be necessary to prevent a "race to the bottom" among AI labs. "The technique is playing with fire, risking a taboo that OpenAI and Anthropic have fought to establish that we work hard to maintain Chain of Thought faithfulness and monitorability for as long as we can," Mowshowitz wrote. "More intensive use of such techniques would probably damage monitorability." [...] In a post responding to the news, Redwood Research chief scientist Ryan Greenblatt said opaque reasoning could easily scale faster than conventional chain-of-thought reasoning, effectively removing all reasoning from visible channels. "My biggest concern is that a natural progression from here would involve scaling up the opaque reasoning to the point where the model reasons entirely or almost entirely in latent space," Greenblatt wrote. "I hope it isn't too late to avoid the most concerning architectures and that OpenAI will stop here." Astra's use of the technique appears limited. "OpenAI has worked to preserve and utilize chain-of-thought monitoring since our very first reasoning models," wrote OpenAI chief scientist Jakub Pachocki. "It's a core goal of our current research program."

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Broadcom is launching "TrueSource," an effort to curate and secure open-source components used with its Tanzu platform, including Spring, RabbitMQ, and libraries across Java, Python, and Node.js. "The idea is to provide a set of solutions focused on providing clean and secure artefacts," Purnima Padmanabhan, vice president of Broadcom's Tanzu Division, told The Register. "We choose and build every Spring library, databases, other Java components," she said. The Register reports: Padmanabhan said that promise means VMware will also provide "TrueSource trusted artifacts" for code that is not part of Spring, including the wider Java ecosystem, Python, and Node.js. "Broadcom's curation process ensures that the libraries conform to a reference architecture and are supportable by the maintainers of record," according to a company statement. "Thousands of engineers across Broadcom's software divisions scan, fix, contribute to, and consume them every day." A VMware spokesperson told The Register the Broadcom business unit "will work with and support maintainers on open source software and we will provide fixes to open source upstream for any active projects." "With Spring and RabbitMQ, we are the maintainers. For other open source software, we will work with the maintainers. We believe that the community maintainers must remain the source of truth," the spokesperson said. This is just the sort of contribution that the open-source community wants vendors to do to reflect the value they extract from software they did not create alone. It's also the sort of thing vendors sometimes conclude they need to do to keep products based on FOSS viable.

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An anonymous reader quotes a report from the BBC: Berlin is being blackmailed by hackers who were able to compromise city systems and steal data earlier this month, its mayor has said. Kai Wegner said officials would not cave in to the ransom demand, which came on Thursday evening. He did not say how much was being sought, though Der Spiegel reports the hackers are demanding 30 bitcoin, worth around 2 million euros. Some of the German capital's online systems were forced to close down as a result of the attack, while investigators were working to understand what data had been taken. The Rhysida group, which is thought to operate from Russia and eastern Europe, and was behind a previous attack on the British Museum, has reportedly taken responsibility. It has said on its website it intends to begin auctioning the 5.79 terabytes of data it was able to steal from Berlin in seven days' time, according to news agency Reuters. [...] Officials for the city-state said an initial data leak occurred between August 7 and 12. Then, on August 14, two department networks were shut down, making applications for housing benefits and payments impossible for several days. "Berlin will not be blackmailed," Wegner said on Friday. He said state police, prosecutors and federal security services were working to investigate the suspected perpetrators "with the utmost urgency," adding that inquiries into the "content and scope of the compromised data are being pursued with great intensity."

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CISA says more than 100 internet-exposed U.S. water and wastewater systems were targeted in July, often through programmable logic controllers connected directly to cellular modems. "That's the first time the feds have put a number on the digital intrusions, but they have yet to attribute the campaign, widely suspected to be linked to Iran, to a particular group," reports The Register. From the report: Suspected Iranian attackers targeted water and wastewater facilities across at least a dozen states in July, including internet-exposed PLCs. While neither federal nor state officials have identified all 12, we know that the cyberattacks occurred at mostly small, rural utilities in Minnesota, Michigan, Georgia, South Dakota, and New Jersey. "This is very serious. What stands out isn't any single incident. It's the scale," Matt Hartman, chief strategy officer at the Merlin Group and CISA's former acting head of cyber, told The Register. "More than 100 water systems with internet-exposed assets were hit in a single month, which points to a systemic vulnerability across the sector, not a run of isolated, unlucky targets," Hartman said. "Much of this infrastructure runs on operational technology that was built for closed, physical environments. It was never designed with the assumption that it would be reachable from the open internet." John Gallagher, VP at Viakoo, an OT and IoT cybersecurity provider, told us that while 100 systems represent a small fraction - only about 0.5 percent - of water utilities in the US, the "real threat is that these are test runs for a larger-scale attack." While the 100-plus water incidents occurred in July, just last week five US federal agencies warned that attackers are using AI-generated exploitation scripts to break into internet-exposed Siemens S7 Series PLCs at water, manufacturing, energy, and other critical facilities. "This appears to be a continuation of the same suite of activity we suspect is affiliated with Iran targeting PLCs," Halcyon Ransomware Research Center SVP Cynthia Kaiser told The Register a week ago. "Iran-affiliated actors and adversaries are actively targeting a wide swath of operational technology because these PLCs underpin essential health, safety, and critical infrastructure across society," Kaiser, a former FBI cyber division deputy assistant director, added. CISA urges organizations to keep PLCs off the public internet, route remote access through VPNs or gateways, replace default passwords, enable stronger authentication, and restrict access to allowlisted IP addresses from trusted OT systems.

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TechCrunch reports that OpenAI released its official report Wednesday on the Hugging Face breach, "offering the clearest picture yet of how an unusual chain of events allowed an AI model to escape its testing environment and triggered a sprawling cybersecurity incident." The AI company says the breach began when an unreleased cyber model, tested without normal production safeguards, encountered an impossible task and chained together previously unknown exploits to escape its environment and compromise systems at OpenAI, Hugging Face, and other vendors. "This incident reflects misaligned behavior in an outlier scenario involving a rare and unexpected confluence of events: the presence of impossible tasks in the ExploitGym evaluation, model persistence over long task horizons, and messages to peer models that caused those models to deviate from their goal," the report reads. From the report: Many of the details in OpenAI's report were previously made public in a Black Hat presentation on August 6, but OpenAI's official report gives a more thorough accounting of the incident, including more detail on the testing that initiated it. The report also gives critical new detail into how OpenAI aims to prevent future incidents, including chain-of-thought monitoring and a more advanced system for halting rogue agents." METR and Redwood Research also conducted third-party assessments of the models' behavior during the incident; both groups are planning to publish their own reports on the incident on it. In broad strokes, the report describes how an OpenAI model was presented with an unsolvable problem in testing and proceeded to chain together previously undiscovered exploits in order to bypass security measures and complete its task. The model initially compromised the Artifactory package management tool in order to gain access to the internet, then compromised various systems across OpenAI, Hugging Face, and other vendors. The report gives critical new details about the models that carried out the breach. The primary model was from the same family as OpenAI's forthcoming Astra model, although the report emphasizes that it was "a distinct model with different post-training, where much of a model's behavior is shaped." Because OpenAI was testing the model's capabilities, it was also unrestrained by the normal classifiers meant to prevent models from compromising digital infrastructure. "OpenAI estimates maximal cyber capabilities by running this evaluation without the production classifiers intended to prevent models from pursuing high-risk cyber activity," the report explains. "These evaluations are important so that OpenAI can measure models' underlying capabilities and design appropriate safeguards." OpenAI says it is adding 24/7 escalation, stronger containment tools, and more chain-of-thought monitoring, which it claims would have flagged the activity more than a day before Hugging Face was breached.

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"The Register has a story about a Windows backdoor that waits silently in memory for a 'magic packet' before springing into action," writes Slashdot reader fred133. "No outgoing traffic, just waiting..." From the report: Like a sleeper cell awaiting activation, a never-before-seen Windows backdoor dubbed Sleepwalker waits silently in memory for one specifically crafted network packet to wake it up and deliver commands using the malware's 23-instruction language. The commands can do everything from running code directly in memory to moving data off the computer. Malware researcher Dominik Reichel discovered the passive backdoor, which also has its own command language, and detailed Sleepwalker in a technical analysis on Monday. "What makes it worth writing up is what that packet carries: not a readable command, but a short program written in a command language of the backdoor's own design," Reichel said. "Its 23 instructions cover scheduling, several ways to move data, staged file delivery and running code directly in memory. Recovering the encryption key is not enough to understand one of these programs. The internal command language must be reverse engineered as well." In addition to having its own command language, it's also notable that the remote host can be a VMware VMCI target instead of a normal network address. "Taken as a whole, the approach here is consistent with a targeted, well-resourced operation rather than an opportunistic one," Reichel wrote. The malware, hidden inside a 64-bit Windows DLL file, impersonates Microsoft's dpapi.dll, part of Windows' data protection API for protecting sensitive data. It exports the same seven functions as the real dpapi.dll, but attempts to forward calls to a file named dpapisvc.dll, which is not a real Windows component. The file also has a forged ESET Management Agent version resource, and loads via side-loading into ERAAgent.exe, the Windows executable for ESET Management Agent. After confirming that its host process is named ERAAgent.exe, Sleepwalker goes to sleep inside the computer's memory, which also helps it remain hidden from traditional anti-virus tools. Unlike most backdoors, which call back to an attacker-controlled command-and-control (C2) server and start receiving commands, Sleepwalker lies in wait, checking every packet that passes through the network looking for a specific pattern - this is called a magic packet. Once it sniffs out a packet that matches the exact pattern, the backdoor decrypts the data and treats it as a command. "Because the backdoor never sends anything out on its own and does not open any obvious listening port by default, tools that watch for connections to known-bad domains or unusual outbound traffic will not see anything unusual," Reichel wrote. "The absence of outbound connections to known-bad infrastructure does not rule out an infection, either. A machine can be fully compromised by this backdoor while producing nothing at all for a network monitor to flag."

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CISA says the Medusa ransomware operation has breached more than 500 U.S. critical infrastructure organizations since 2021, up from more than 300 reported last year. The group has targeted healthcare, government, defense, manufacturing, IT and financial organizations, evolving into a ransomware-as-a-service operation that recruits initial-access brokers and uses stolen data to pressure victims into paying. BleepingComputer reports: The three federal agencies recommended that network defenders secure their networks against the ransomware group's attacks by mitigating security vulnerabilities to protect operating systems, software, and firmware from exploitation attempts. Security teams are also advised to segment networks to block lateral movement after compromise and to block access from untrusted origins to remote services on internal systems. [...] "Medusa developers typically recruit initial access brokers (IABs) in cybercriminal forums and marketplaces to obtain initial access to potential victims," the advisory says. "Potential payments between $100 USD and $1 million USD are offered to these affiliates with the opportunity to work exclusively for Medusa."

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