"Finding vulnerabilities faster also puts pressure on Linux distributions to fix and deliver patches faster," writes Slashdot reader BrianFagioli

AI has transformed bug discovery from "a manual, time-intensive process into a highly automated engine," notes Canonical's blog, leading to a "recent explosion in the volume of CVEs". Additionally, the upstream kernel community became its own CVE Numbering Authority (CNA) and assigned CVE (Common Vulnerabilities and Exposures) identifiers to thousands of bugs, arguing that at the kernel level, almost any type of bug that can affect a running system, could potentially be classified as a vulnerability. As a result, the volume of CVEs has skyrocketed exponentially, creating a massive backlog of alerts and forcing defenders to drastically increase the speed of their fixes to close the window of risk.

To address the growing volume of CVEs and the demand for faster security fixes, we are transitioning to a unified, 2-week release cycle...

While a patch is being prepared, Canonical aims to provide safe workarounds where applicable, so users aren't left exposed in the meantime. Where no safe workaround exists, Canonical will say so clearly and point users toward general hardening steps instead. The goal is to get environments into a defensible, safer state within 24 to 48 hours of public disclosure — well before a patch ships. This doesn't replace the patch; it buys the time needed to fix the vulnerability properly, without sacrificing security.
"Linux did not suddenly become wildly insecure overnight," notes the blog Nerds.xyz. "We are getting much better at finding and cataloging problems that may have previously gone unnoticed." There is something almost ironic about all of this. AI is routinely pitched as a tool that will make software development faster, but it is also making vulnerability discovery faster. That means maintainers now have to accelerate the other side of the equation too.

For Ubuntu users, that should ultimately be good news. More bugs being discovered is preferable to vulnerabilities sitting unnoticed in the Linux kernel.

"Signature forgery." It's a new way to break RSA keys — and it doesn't require factoring. Ars Technica reports on new research using classical computing to "reduce the current RSA security level to an unacceptably low threshold" and lower the required computing resources by orders of magnitude.

There's "a gap in current RSA-type security assumptions," according to a paper co-authored by University of California, San Diego professor Nadia Heninger, who argues that gap "gives classical cryptanalytic evidence in favor of moving away from RSA entirely during the current post-quantum transition." The practical risk is limited, but still significant. Applying the attack against the deprecated use of 1024-bit keys took a handful of months on an academic CPU cluster, significantly less than the current estimates for 1024-bit factoring that would require resources that only nations or companies with massive resources could achieve. Widely used RSA implementations are also safe. Nonetheless, the research has taken cryptographers by surprise... "If this result holds up under peer review, it would indeed be a conceptual break-through," Karsten Nohl, a cryptography expert and the head of innovation at Allurity, said in an interview. "RSA is as difficult to break as it is to factor large integers, at least so we thought. The researcher suggests that you can practically break RSA without cracking its key...."

The key forgery attack Heninger and the other researchers devised poses an immediate threat to 1024-bit RSA. Even for 2048- and 4096-bit keys, the method reduces the security of RSA to unacceptable levels. The National Security Agency, National Institute of Standards and Technology, and European Union Agency for Network and Information Security require that any cryptosystem should provide a level of no less than 128 or more bits, meaning the operations required must exceed 2**128. The forgery attack drops these levels to 2**65, 2**90, and 2**119 for 1024-, 2048-, and 4096-bit keys respectively. These levels may further drop because Heninger's team did all the coding by hand and used no AI or GPUs in performing the forgeries. The researcher said these tools will "almost certainly" drop the security levels further.

The attack works only against blind-signature implementations of RSA... Still, some real-world systems continue to use blind-signature, also known as textbook, RSA... The paper's authors and other researchers stress that the new attack poses little real-world threat. It does, however, drastically lower the estimated security of textbook RSA, and it does so in a way no one knew of previously... The new attack will further increase the urgency of completely moving away from the cryptosystem.
Thanks to long-time Slashdot reader phatrabt for sharing the article.

Microsoft's security blog describes the fight against a new "AI-powered cybercrime platform" offering phishing-as-a-service, with AI-tailored lures and analyses of compromised inboxes (to identify high-value targets). The site compromised more than 12,000 inboxes in over 10,000 organizations around the world, compromising business accounts "at scale" with automated attacks and prebuilt phishing templates. AI tools could even sift through a victim's mailbox to help engineer better phishing messages.

To disrupt EvilTokens Microsoft worked with other organizations, including Cloudflare, Coinbase, OpenAI, Railway, SpyCloud, Shadowserver Foundation, and TRM Labs to Health-ISAC (a non-profit helping health sector organizations share cyber threat information).

"Fifty sites seized and 150 domains disabled in a single action is only possible when the hosting providers, the exchanges, the model providers and the data holders all move at the same time," security company SpyCloud told The Hacker News.

From Microsoft's security blog: Microsoft also notified affected customers, helped remediate compromised accounts, and shared intelligence to support further defensive and investigative action... Microsoft worked closely with specialist officers from the Metropolitan Police Service's cybercrime team, sharing intelligence that enabled officers to take operational action in the United Kingdom. On September 11, 2026, officers arrested two men, aged 32 and 38, and seized digital devices and other items for examination... While EvilTokens used AI to identify targets and prioritize fraud opportunities, Microsoft investigators used reverse engineering and AI-powered tools to analyze evidence, accelerate the investigation, and identify the infrastructure supporting the service...

Campaigns leveraging EvilTokens have impacted organizations in various industries, including wholesale distribution, construction, financial services, real estate, higher education, and healthcare, with the highest concentrations of observed victim activity in the United States, Canada, the United Kingdom, Australia, India, and France. Working with partners, Microsoft's Digital Crimes Unit (DCU) facilitated a coordinated disruption of infrastructure used to operate the EvilTokens service.
Sometimes stolen tokens were used to give new devices access to a victim's inbox. (A code authenticating the new device was sent to the targeted user, who unknowingly authorize the threat actor's session and grants access to their account...) But "AI was not simply helping attackers write more convincing messages," says another Microsoft blog post. "It helped them decide who to target, who to impersonate, and how to most effectively exploit the relationship to extract as much money as possible." The significance of EvilTokens extends beyond its rapid growth and global reach. It offers an early warning of what happens when cybercriminals combine stolen access with AI capable of understanding how an organization works... Its AI tools could summarize and translate emails, surface financial conversations, map organizational roles, identify trusted relationships, and recommend potential targets. Preset prompts offered to find wire-transfer discussions, identify the organization's "money movers," locate vendor invoices, and determine the best people to impersonate. Sold through Telegram for a $1,500 initiation fee and a recurring $500 subscription, EvilTokens combined account compromise, mailbox analysis, target selection, and fraud preparation in a single service. Capabilities that once required experience across identity attacks, cloud systems, social engineering, and financial fraud were available through a ready-made interface.

Investigators found evidence that large portions of EvilTokens had been "vibe coded," with AI helping its creators build the platform itself. They also determined that EvilTokens drew on capabilities from multiple AI models. The result was more than a collection of attack tools. EvilTokens packaged much of the fraud process into a commercially run service, complete with subscription pricing, customer support, management dashboards, and tools designed to move customers from account access toward financial exploitation.

"I would like to verify your technical abilities, so please download the specified file and complete the assigned task..."

Fake job listings aimed at software developers and IT professionals led to 30,000 infected devices in over 100 countries — and 7,000 compromised cryptocurrency wallets, leading to over $10 million (USD) transferred to North Korea. Inc. reports: The hacks occurred from December 2025 through July 2026, according to a joint cybersecurity advisory issued Friday by Japanese, Australian, German, and U.S. authorities, including the Federal Bureau of Investigation and the Defense Department's Cyber Crime Center... The group reportedly has been active since 2023, carrying out both financially motivated attacks and cyberespionage...

The hackers lure job seekers through social media, online job platforms, gig-work sites and freelance marketplaces. WaterPlum asks responders to take part in virtual technical interviews or complete coding assignments. The attackers then instruct targets to download and run malicious files, sometimes under the guise of completing an assignment or troubleshooting a problem with videoconferencing software. Once the group gains access to a device or network, it uses malware to steal information, including browser passwords, screenshots, files, and cryptocurrency-wallet data. An infected computer can also provide an avenue into the network of the target's employer, opening the door to intellectual-property theft and espionage, authorities said.

The operation overlaps with a separate scheme in which North Korean nationals conceal their identities and locations to obtain remote IT work with companies abroad, officials said.
The malicious files are "hosted on multiple online collaboration software developer platforms and code repositories," the advisory points out, and includes malicious Node Package Manager (NPM) packages.."

Stolen ID images can also be used by North Korean IT workers to impersonate victims to obtain contracts and receive payment in foreign currency, but "The actors can also use stolen sensitive information for extortion." In one case, a North Korean IT worker "extorted a company over payment and published its proprietary source code online. In another case, an IT Worker hired for website maintenance defaced the hiring company's website and rendered the site inaccessible."

The advisory provides clues for employers. It warns these malicious IT workers "tend to favor payment in cryptocurrency, and they may request that remuneration be sent to an account in another person's name." During interviews they'd sometimes used Al face-swapping software, then claimed network issues and disabled their video. And "On holidays celebrated in North Korea, the actors played games and watched soccer videos instead of conducting their usual malicious activities."

"Hackers ripped down a Flock camera above a roadway, made a near-complete copy of the data stored inside it, and shared the files with 404 Media and WIRED," according to an article published on both sites.

Though Flock has described its system as protected by on-device encryption, "The hackers were able to copy the camera's storage and recover an encryption key stored on the device, which unlocked videos of thousands of vehicle detections." The hackers shared the material with 404 Media and the transparency nonprofit Distributed Denial of Secrets, which shared the data with WIRED. 404 Media and WIRED then analyzed those files as part of a joint investigation... [T]he joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles, license plates, and bicycles. The camera can produce dozens of images of a single passing vehicle and, according to several weeks of recovered logs, generated more than a million images. Its computer-vision software also sometimes isolated bumper stickers and other graphics, including, in one case, an American flag patch on a motorcyclist's saddlebag...

According to our analysis, the camera's logs recorded about 21 days of activity across several periods. During those windows, the device photographed roughly 50,200 vehicles and generated about 1.6 million images. On a typical day, it logged around 3,300 vehicles, with a high of 4,454... The software running on the camera explicitly detects people, something which is typically overlooked in discussions around Flock cameras. When it spots a person, it records where they appear in the image and how confident it is in the detection.
It was a collective calling itself stegan0gram that breached the cameras, according to the interview they did with Wired and 404 Media. "Why just destroy them when we can reverse engineer them and find the secrets of those spying on us?"

A misconfigured Advance Passenger Information System (APIS) database linked to Vietnam exposed more than 220 million passenger and crew travel records spanning 2017 to 2026, including names, passport numbers, nationalities, flight details, seat assignments, and baggage references. Researchers said the database was reachable through a chain of security mistakes and default credentials. It was later secured after the disclosure, but it's unclear whether the data had already been copied or abused. BleepingComputer reports: Kinryu Labs discovered the Elasticsearch cluster on June 3 while surveying exposed databases as part of research into ransomware activity. The cluster, named 'pax-info', contained 29 indices and roughly 107 GB of data. Its two principal indices held 210,318,069 passenger records and 10,465,631 crew records, for a combined 220,783,700 entries. According to Kinryu Labs, the cluster was hosted in Viettel-assigned IP space in Hanoi. BleepingComputer could not confirm which Vietnamese organization operated the system.

The exposed information included passengers' and crew members' names, dates of birth, sex, nationalities, passport or travel-document numbers, document expiration dates, and issuing countries. Associated travel data included flight numbers and dates, airlines, departure, destination and transit airports, seat assignments, baggage references, and scheduled, estimated, and actual flight times, information typically carried by APIS and related airline systems.

Sample records reviewed by BleepingComputer included travelers of Korean, Chinese, Canadian, and New Zealand nationality, among others. While the researchers could not provide a complete breakdown by nationality, the data covered numerous international airlines across Asia-Pacific, Europe, and the Middle East. As a result, the exposed records could relate to people from virtually anywhere who visited or transited through Vietnam over the nine-year period. Kinryu Labs expects to publish additional details on its blog later this week.

A union representing Uber and Lyft drivers was just certified by California's Public Employment Relations Board, officially recognizing them as the drivers' bargaining organization.

The Sacramento Bee reports that this new bargaining structure : The move will allow the California Gig Workers Union to help drivers negotiate issues affecting working conditions and benefits. It comes as at least 30% of active drivers expressed support of the union... [California] Assembly Bill 1340 helped bring the union to fruition by allowing the independent contractor drivers to engage in collective bargaining.
"The next step for the union is to negotiate a contract with Uber and Lyft that meets drivers' demands," reports the Los Angeles Times, "including health insurance, support for high gas prices and more transparency around pay: California is the third state to allow ride-hailing drivers to unionize, following Washington in 2022 and Massachusetts in 2024...

The California Gig Workers Union was formed with the support of the Service Employees International Union... "Gig drivers shouldn't have to face the future alone," said SEIU 521 official Riko Mendez in a statement. "As autonomous vehicles rapidly expand, having a union gives the drivers the power to negotiate for fair pay and meaningful say in how new technology shapes their work and our communities' futures."

Android is rolling out a system-level way to securely transfer passwords and passkeys between credential managers, eliminating the need to export passwords as unencrypted text files or manually recreate passkeys. The feature initially supports Google Password Manager, 1Password, Bitwarden, and Dashlane, with other providers able to integrate through Android's Credentials Transfer API. 9to5Google reports on how to initiate the system-backed transfer method: 1. Start the move: Open your new password manager app and choose the option to import or copy your passwords and passkeys from another provider. The password manager will then hand the task over to Android.
2. Let Android securely coordinate the data transfer: Android will automatically detect existing password managers on your device and show you which you can import from.
3. Review and authorize: Once you tap "Continue," Android will bring you to your existing password manager to select, review, and authorize the transfer. Then your data will be quickly and securely transferred between the apps in just a few seconds.

Microsoft's September 2026 Patch Tuesday is its largest ever, fixing a record 966 vulnerabilities, including 105 rated critical and two zero-days already being exploited in attacks. BleepingComputer reports: This Patch Tuesday addresses 105 "Critical" vulnerabilities, 81 of which are remote code execution, 20 are elevation of privileges, 2 are information disclosure, and 1 security feature bypass.

The approximate number of bugs in each vulnerability category is listed below:
- 438 Elevation of Privilege Vulnerabilities
- 19 Security Feature Bypass Vulnerabilities
- 258 Remote Code Execution Vulnerabilities
- 173 Information Disclosure Vulnerabilities
- 56 Denial of Service Vulnerabilities
- 16 Spoofing Vulnerabilities Last month, Microsoft's Patch Tuesday updates fixed 570 security flaws, following 400 vulnerabilities patched in August.

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."

The FCC is proposing (PDF) a public "robocall mitigation scorecard" that would grade phone companies on how well they block illegal spam calls while avoiding false positives on the legitimate ones. "The Scorecard will empower consumers and encourage providers to continue to combat illegal robocalls by providing the public with an assessment of the effectiveness of voice service providers' efforts to protect consumers from illegal robocalls," the FCC Consumer and Governmental Affairs Bureau said in a public notice. Ars Technica reports: The scorecards could include call-blocking statistics along with data on customer complaints and enforcement actions. The FCC said scorecards could grade providers on a number scale, with letter grades, or by classifying providers as low risk, medium risk, or high risk. The proposed tool would rate wireless, wireline, and VoIP providers on efforts to block robocalls and their "actual results in protecting [consumers] from illegal robocalls," the FCC said. "In practice, that means moving beyond a simple administrative checklist (i.e., did the provider file the right paperwork, did they offer the right tools) and toward a composite set of metrics that reflects both operational practices and measurable outcomes, including how often legitimate calls are blocked."

Whether the tool is useful for consumers will depend on how it's designed, how easy each provider's scorecard is to find, and what data sources it relies on. The proposed scorecard would apply to domestic voice service providers with retail customers, but not telcos that operate solely as wholesale or intermediate providers. "Combatting the scourge of illegal robocalls remains the FCC's top consumer protection priority... As proposed in today's public notice, the FCC aims to develop a scorecard that will give consumers more information about the measures providers are taking to fight illegal robocalls, and it will also incentivize providers to improve their efforts," FCC Chairman Brendan Carr said in a press release.

A dark-web identity theft service called Nexus claims to be selling scans of more than 153 million U.S. and Canadian driver's licenses, along with millions of other identity documents. "Based on interviews with individuals whose licenses are available for purchase through the service, it appears to be siphoning images collected by a widely used Louisiana-based identity verification company," reports KrebsOnSecurity. The outlet also reports that the FBI's New Orleans field office has launched an official inquiry into the source of the images. From the report: On Monday, Aug. 31, a source alerted KrebsOnSecurity to a service advertised by a new user on the Russian cybercrime forum Exploit, offering access to digital scans of identity documents on more than 170 million people in North America. The source brought it to my attention because the proprietor of this identity theft service offered my Virginia drivers license as a free sample in their initial sales thread on Exploit. The service, dubbed Nexus, claims to have more than 153 million drivers licenses for people in the United States and Canada, as well as more than 10 million identification cards; more than three million travel documents and/or international IDs; and at least 579,000 medical cards.

[...] The people behind Nexus claim the license images are coming from an active breach at "a major identity verification company" whose customers include multiple Fortune 500 companies. "We have been continuously exfiltrating new data for over a year into our private database," the service enthused in its introductory post on Exploit. "Records are available to preview before purchase with pertinent information redacted. Customer photos are displayed if available." Indeed, over the past 24 hours, the number of drivers license records listed as available in Nexus has increased by nearly 400,000, suggesting that freshly stolen license data is being harvested and uploaded to this service on a semi-regular basis. KrebsOnSecurity traced the apparent source by comparing timestamps on stolen license images with when their owners had their IDs scanned, including at Hertz rental counters and a Planet13 dispensary. Both companies use identity-verification services from Louisiana-based idscan.net, whose technology also scans IDs using infrared and ultraviolet light.

Since the story was published, Krebs reports that the Nexus identity theft service website "vanished from the darkweb, replacing its login page with a plain text message that reads, 'This service is no longer available.'"

Anthropic has released Claude Fable 5.1 and Mythos 5.1, two versions of the same underlying model aimed at longer-running agentic work. "For enterprise buyers, however, the release is about more than another round of benchmark gains," reports VentureBeat. "Anthropic is simultaneously changing the economics of running persistent agents, reducing the cost of cached context by 75%, and introducing a new security architecture called Enterprise Frontier Safeguards, or EFS, designed to let organizations retain monitoring data inside infrastructure they control." From the report: Those changes arrive at a particularly consequential moment. Over the past several weeks, Anthropic and the U.K. AI Security Institute have disclosed incidents in which earlier Claude models, running under unusually permissive cybersecurity evaluation conditions, took unauthorized actions against real systems. Anthropic temporarily paused external cyber evaluations and has since introduced additional containment and monitoring before resuming them.

Taken together, Fable 5.1 looks less like a conventional model refresh than an attempt to solve three increasingly intertwined enterprise problems: how to make agents capable enough to finish difficult work, economical enough to leave running for hours, and governable enough to give access to sensitive systems.

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.

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."