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Zero-Day Vulnerability Gave Attackers Time to Plant Backdoors
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PSA: Patch your Plex media server before someone hacks it
Recently fixed vulnerabilities in the Plex Media Server are under active exploitation in attacks that, when successful, install malware, including cryptominers and residential proxy apps, a researcher said.
Plex fixed four vulnerabilities at the start of last month. Three weeks later, published CVE designations revealed five vulnerabilities, with one of them carrying a severity rating of 8.6 out of 10. A researcher last week revealed an exploit that chained four of them together to achieve remote code execution of the device running a vulnerable Plex version. The researcher named the chain "Plex2Shell."
Complex exploit chainThe new details allowed a separate researcher to create a honeypot that could track attempts in the wild to exploit the vulnerability chain. Within a day, the researcher began seeing active scanning of the simulated Plex server and eventually successful attempts to infect devices. So far, successful attacks are installing two payloads. One is a cryptominer, which uses the device to mine cryptocurrency and deposit it into a wallet controlled by the attacker. The other payload is residential proxy software, which allows people to anonymize their Internet activity (much of it illegal) by connecting to the infected box and then using it to send the user’s traffic to a final destination.
Bullhorn takes staffing platform offline to contain cyberattack
ReactOS reaches major milestone with NTFS install support
Open source Windows alternative ReactOS has reached a major milestone: The operating system can now be installed directly onto an NTFS drive partition. As reported by Phoronix, the move to NTFS clears a long-standing hurdle for the project and brings it one step closer to finally reaching beta.
Prior to this latest announcement, ReactOS required users to keep a FAT32 partition for installations. A proprietary Microsoft-developed filesystem, NTFS can trace its roots back through the Windows NT family lineage starting in 1993 with Windows NT 3.1. The variant introduced with Windows XP in 2001 remains the standard used by most Windows systems today. With ReactOS's stated goal of reaching binary compatibility with Windows Server 2003, being confined to FAT32 partitions was a practical barrier to clear on the way to reproducing the Windows environment.
However, users looking to hop off the Windows train shouldn't be grabbing their bags just yet. ReactOS wrote that the new driver still "lacks caching (which causes inferior performance), journaling and security support." So while the new driver is here, even the most intrepid of OS tinkerers should tread carefully. The ReactOS team warned in its announcement on X that there are still "potentially undiscovered bugs."
Security patches need patches now that attackers have AI
New AI Tool Could Help Scientists Make ‘Rare’ Cross-Disciplinary Leaps
Using a system called BootLoops, scientists produced 36 papers in three months. Paired with experts, the tool could pollinate ideas across fields.
Some major scientific advances involve taking a technique developed in one field and applying it to another, but interdisciplinary research is tricky and time-consuming. Now a new AI research system has automated the process, generating 36 papers in three months.
Most researchers work within a narrow specialty, and few have time to comb through unrelated fields for tools that might help them. As a result, researchers can end up banging their heads against a problem scientists in another discipline have already solved.
But Harvard physicist Matthew Schwartz stumbled across a potential solution while working as a visiting researcher at AI firm Anthropic. After getting the company’s AI, Claude, to develop a suite of tools for mathematical physics, Schwartz discovered they could help solve quantitative problems in a host of other areas.
Called BootLoops, the tools, which are model agnostic, help AI search scientific literature, write code, and solve mathematical problems. Working with 19 coauthors, Schwartz used BootLoops to produce 36 manuscripts on topics ranging from ecology and linguistics to health insurance and sunspots.
“Once Claude had BootLoops, it kept noticing the same pattern: many fields have problems that a technique from mathematics, physics, or computer science would solve outright if anyone knew it existed,” Schwartz wrote in an Anthropic blog post about the system.
Schwartz first started using Claude as a general-purpose research assistant last December, and while he was able to do some useful work with it, he says it required constant handholding. So he decided to instead point it at problems that were a good match for the model’s strengths—what he calls “Claude-shaped problems.”
He started with the equations physicists use to interpret particle collisions at the Large Hadron Collider. The best methods were scattered across software in several programming languages or existed only on paper, so he got Claude to combine them into a single framework. Using the tools it had built itself, the model reproduced the results of one of his papers in about 20 minutes.
Schwartz then moved onto a harder class of these equations, and within a few weeks, the model had solved 30 of them, including 15 that had never been calculated before. It didn’t take long for Schwartz to realize that many of the methods the AI had developed could be used in neighboring areas of physics such as cosmology and string theory.
But it was Claude itself that made the bigger leap, pointing out that the same kinds of equations turn up in population genetics and evolutionary biology. The problem for Schwartz, however, was that he found it harder to tell when Claude was overselling its findings in fields he was less familiar with. So he brought in experts from each field to judge which of Claude’s findings were worth pursuing, and from some 400 candidate problems, 36 ended up as papers.
One project examined the star ratings used to grade private health plans under Medicare, which determine the bonuses insurers receive. The rules say the boundaries between ratings levels should be drawn so each plan’s score sits as close as possible to the average of its group, but the algorithm Medicare actually uses is a shortcut that doesn’t guarantee this.
Using a statistical method dating back to 1958 to calculate the exact answer, BootLoops found drawing precise boundaries would push 34 plan ratings across the bonus line, 16 up and 18 down. This would shift an estimated $0.9 to $1.4 billion in bonus payments between 2025 and 2027.
Another project tackled a 150-year-old puzzle about what kills sunspots. Because the sun’s rotation hides sunspots from view for much of their lives, astronomers have never been able to agree on how long they last or why they disappear.
Borrowing a tool doctors use to measure how the risk of dying changes with age and applying it to every sunspot logged since 1874, the team found that sunspots age. At a given size, their risk of “dying” rises about 20 percent a day, something none of the published theories could account for.
For each new problem, Claude built new tools, so the BootLoops toolkit kept growing, and it now spans 22 fields, according to the project’s website. Other problems it’s tackled include how Earth’s atmosphere first filled with oxygen, how quickly tree species come and go in a Panamanian rainforest, and how natural selection weeds out harmful mutations in humans.
The kinds of cross-disciplinary leaps BootLoops can make are extremely rare, Georgia Channing, artificial intelligence for science lead at Hugging Face, told Science. “A physics researcher wouldn’t spend six months reading linguistics research in order to figure out how to repurpose linguistics methods,” Channing said.
That’s not to say the system isn’t without flaws. Schwartz says many of Claude’s early findings were technically correct but scientifically unremarkable until experts steered them, and he warns that the model “loves to declare victory” too early.
But the results suggest AI may be a powerful way to pollinate ideas across research fields, even if we still need humans to decide which ones are really worth pursuing.
The post New AI Tool Could Help Scientists Make ‘Rare’ Cross-Disciplinary Leaps appeared first on SingularityHub.
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