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The U.K. Housing Ombudsman Service is investigating a third-party IT security incident that impacted its case management system on Tuesday. [...]

A flaw in Docker Hub, the registry where container images are published and downloaded, let one user push, pull, or delete images as another user. Docker fixed the flaw on September 30 and says it found no evidence that anyone exploited it. The flaw was in the feature that converts a personal account into an organization, Docker said in a security advisory on October 12.

A flaw in Docker Hub, the registry where container images are published and downloaded, let one user push, pull, or delete images as another user. Docker fixed the flaw on September 30 and says it found no evidence that anyone exploited it. The flaw was in the feature that converts a personal account into an organization, Docker said in a security advisory on October 12. Swati Khandelwalhttp://www.blogger.com/profile/[email protected]

Microsoft has released the Patch Tuesday Windows 11 KB5127648 and KB5126653 cumulative updates for versions 26H2/25H2/24H2 and 23H2 to fix security vulnerabilities and bugs, and add new features. [...]

An attacker chained three zero-day flaws in Ivanti Connect Secure, a VPN appliance, to run commands as root without logging in, security firm Volexity said on October 13. Ivanti has released fixes for two of the flaws and told customers on affected versions to "act immediately." A fix for the third is still pending, according to Volexity. Volexity, which reported the flaws to Ivanti,

An attacker chained three zero-day flaws in Ivanti Connect Secure, a VPN appliance, to run commands as root without logging in, security firm Volexity said on October 13. Ivanti has released fixes for two of the flaws and told customers on affected versions to "act immediately." A fix for the third is still pending, according to Volexity. Volexity, which reported the flaws to Ivanti, Swati Khandelwalhttp://www.blogger.com/profile/[email protected]

A flaw in SAP's Cloud SDK for Python can send an application's OAuth2 client credentials to a server an attacker controls, SAP said in a security advisory on October 13. The flaw affects multi-tenant applications on SAP Business Technology Platform (BTP) that use the SDK, SAP's official Python client for BTP services. An attacker must be able to control the tenant subdomain,

A flaw in SAP's Cloud SDK for Python can send an application's OAuth2 client credentials to a server an attacker controls, SAP said in a security advisory on October 13. The flaw affects multi-tenant applications on SAP Business Technology Platform (BTP) that use the SDK, SAP's official Python client for BTP services. An attacker must be able to control the tenant subdomain, Swati Khandelwalhttp://www.blogger.com/profile/[email protected]

An Anthropic AI model submitted a fabricated tip about an unsolved homicide through an online form run by the Philadelphia Police Department (PPD). The tip, filed July 18 through PhillyUnsolvedMurders[.]com by “someone who might have information about the case,” went straight into the inbox’s spam folder. Anthropic discovered it on September 28, notified the PPD on October 7, and sent representatives to the police HQ the following day. Anthropic told the police the AI submitted the tip during a test exercise that involved interacting with randomly selected websites. The PPD said its findings are so far consistent with Anthropic's account. Because the tip was flagged as spam, it never reached the department's Real-Time Crime Center. The PPD said officers vet all submissions, automated or otherwise, before forwarding them to investigators, and that this process safeguards against abuse of the tip system. It added that this does not “diminish the seriousness” of an AI submitting fabricated information. “The city of Philadelphia takes this incident very seriously,” the PPD said. “The company must strengthen its safeguards to prevent similar incidents from impacting city systems without the city’s knowledge. The two-month delay in detecting and reporting the incident to the city is unacceptable.” It added: “The department and the [Cherelle] Parker administration will continue to closely monitor this incident, and will provide more information to the public as soon as it becomes available. In addition to our investigation into this incident, the Parker administration will explore all necessary regulatory protections going forward locally along with our state and federal partners.” On October 9, Anthropic published a report on this and other AI errors. The report covered four categories of AI failures, including vulnerability exploits, access to restricted data, bypassing fetch tool limits with URL shorteners, and submitting false information via web forms. Anthropic declined to name any of the affected organizations, other than the PPD after the department went public. Some cases involved local, state, and federal US government websites, though the AI company didn't say which of the four categories they fell under. The PPD did not name the model responsible, but Anthropic said Claude Haiku 4.5 was tasked with generating and performing example tasks on randomly selected web pages, and hinted at the model not being prompted specifically enough. “Claude was instructed never to log in, create accounts, enter personal data, make purchases, or submit anything destructive, but the instructions did not rule out form submissions,” Anthropic's report stated. The fake tip read: “I may have information regarding this case. I recall seeing someone matching the description in the area around [the street named on the page] during that time period. Please contact me if this information is relevant.” Anthropic said the incident was less severe than the cyberattacks over the summer. The report said: “Claude appears to have only been producing example content for the task, rather than trying to mislead anyone to achieve a goal.” By contrast, the "dishonesty" displayed over the summer was “sustained over hours” and supported continued attacks, the Claude maker said. Anthropic said it will keep reporting these failures when it detects them, and will continue fine-tuning behavioral and alignment training. The 3,095-word report contained no apology.®

Nothing sells AI products as well as fear. Using new research, Anthropic claims that self-replicating AI worms could be just months away from spreading across vulnerable IoT devices, which would be a problem if it came true. The frontier lab published a research report Monday suggesting that AI models could eventually self-replicate without relying on datacenter hardware, with a 9-billion-parameter model successfully setting up inference on eight of the nine hardware types Anthropic tested. “A replicator like this would be challenging to shut down, since there’s no centralized point to shut off,” Anthropic warned, adding that such an AI worm could also suss out the workings of unfamiliar devices, potentially making it more adaptable than conventional botnets like Mirai, Kimwolf (the representative IoT botnet threat model used in the study), and others. Anthropic’s researchers managed to get a distributed instance of Gemma4-26B-A4B running across 15 generic Android set-top streaming boxes - a common target of traditional botnet malware due to their lax security. Once up and running, the distributed Gemma4 model was able to conduct inference tasks at a blistering 0.39 tokens per second. That, says Anthropic, proves that AI models can conduct inference with their various layers distributed across cheap hardware, but it doesn't prove such a model could self-replicate. For that, the researchers turned to Z.ai’s GLM 5.2. GLM was used to propagate a copy of Llama3.1-8B across eight Google Cloud instances running an Android 15 emulator in a virtual private cloud, which Anthropic said it was able to do with a high degree of success, with the model successfully spreading to all eight nodes in four out of five trials, and seven of eight in the other. “It appears that GLM-5.2 is able to propagate Llama3.1-8B well, which suggests that future small models of the same capability level could also complete the network enumeration, payload delivery, and inference standup steps of the replication process,” Anthropic explained. Sanity check: This isn’t going to end the world, either Frontier AI labs have become adept at publishing findings that portend doom that only they can prevent. Doing more than a cursory reading of this report suggests that this threat is just as deserving of a big, honking asterisk as the rest. Take, for example, what is needed for an AI model to exploit vulnerabilities and spread to various systems. One would think that such an element would be an important part of demonstrating the danger of a self-replicating AI botnet, but Anthropic decided it didn’t need to worry about that for this study. “We largely ignore the cyber exploit element of the replication process, since earlier papers CyberGym, ExploitBench, and adaptive worms already show that small models are capable of cyber exploits, especially when given the right tools,” Anthropic explained in the writeup. In other words, the replication these models managed to achieve was done on nodes that were custom-built for this project and deliberately left open to attack, although the draggingly slow inference demonstration ran on real, inexpensive Android TV boxes. As Anthropic notes, AI models can also benefit from being given the right tools to turn them into capable cyberattack agents. There was a custom-built harness called Memento involved in this scenario too. Are IoT nodes that get hijacked by botnets famously insecure? Yes, but it doesn’t take much to prevent the most common ingress routes – that’s just good security hygiene that has nothing to do with the involvement of AI. Anthropic acknowledged that its deliberately simplified exploitation tests provided “an upper bound on real-world success.” Then there’s the aforementioned speed. Anthropic says such AI worms would be challenging to shut down, but estimates that they might take days to double in size. When Mirai appeared on the scene in 2016, it was doubling in around an hour. Anthropic points out that speed is a factor in detection and mitigation, too. AI models are not simple malware packages: They’re massive things that would eat up tons of bandwidth and quickly point to their sources. As an AI botnet grew, that traffic could become more noticeable, making infected devices easier to detect. Finally, end-to-end replication may have been successful with GLM-5.2, but that’s it. Anthropic tested other open-weight models, and they all “fail[ed] reliably,” according to the report. Anthropic didn’t mention how many models it tested. The report also mentions that GLM’s unique success has another important condition: It assumes its capabilities “could be packed into Llama3.1-8B,” stacking another assumption onto this latest house of doomsaying AI cards. “Models of 30B parameters and under can already complete many of the individual steps for replication today, though they make mistakes when composing them end to end,” Anthropic said, while noting that GLM-5.2 was capable of end-to-end replication, conveniently leaving out all the important caveats. Anthropic further admits that it has no idea "exactly what form autonomous AI replication will take,” or when it might arise, if ever. “If small models improve at their historical rate, they’ll match this capability level by the end of this year,” the company added – again imposing an essential condition on this supposed threat. “As a prediction that goes beyond our experiments, we expect a future awash with agents running on all types of hardware, including some that aren’t under human control,” the company said at the end of its report. “We should aim to harden our systems to make it difficult for such replicators to spread, but also prepare to deal with a world where they are here to stay.” Here to stay for a given value of not existing yet, of course. Yet again, a frontier lab is warning us of a threat that doesn’t exist yet – at least in this case, basic security measures could make life harder for any future AI-powered botnet. ®

Po iPhonu Duo má letos Apple další zcela nový produkt. • HomeView je domácí tablet spojený s reproduktorem. • Rozpozná šest lidí, je provázaný s AI a řídí chytrou domácnost.

TFG London detected a cybersecurity incident that impacted IT systems used by the Phase Eight, Hobbs, and Whistles premium fashion brands. [...]

GitHub has taken the step of expiring unvalidated npm trusted publishing configurations 48 hours after creation after researchers found that it was possible for an attacker to push new versions of a different user's package without having to steal their credentials. "Your configuration becomes validated and exempt from expiry after its first successful publish," the Microsoft-owned subsidiary

GitHub has taken the step of expiring unvalidated npm trusted publishing configurations 48 hours after creation after researchers found that it was possible for an attacker to push new versions of a different user's package without having to steal their credentials. "Your configuration becomes validated and exempt from expiry after its first successful publish," the Microsoft-owned subsidiary Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Ivanti urged customers on Tuesday to immediately patch an actively exploited zero-day vulnerability in the Ivanti Connect Secure (ICS) remote access gateway. [...]

Docker has disclosed a critical vulnerability (CVE-2026-105445) in Docker Hub that let attackers access another user's container repositories using a personal access token (PAT). [...]

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