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In the intricate landscape of global cybersecurity, Webwyrm malware has surfaced as a formidable adversary, casting its ominous shadow across 50 nations and leaving in its wake over 100,000 compromised victims. This insidious digital menace successfully emulates in excess of 1,000 reputable companies globally, with the ensuing potential financial fallout estimated to surpass a staggering $100 million. It is imperative for cybersecurity professionals and organizations alike to comprehend the multifaceted nature of this threat to devise and implement robust defensive strategies effectively.

In the dynamic realm of cyber threats, malicious actors incessantly refine their Tactics, Techniques, and Procedures (TTPs), exploiting extant vulnerabilities and augmenting the efficacy of their malicious campaigns. Webwyrm epitomizes this relentless pursuit of evolution, embodying a level of sophistication reminiscent of infamous cyber threats of yore, such as the notorious ‘Blue Whale Challenge.’

WebWyrm malware orchestrates a complex, deceptive narrative aimed at duping unsuspecting job seekers into relinquishing their cryptocurrency. Initiating contact predominantly via WhatsApp, the malefactors likely leverage data procured from employment portals to pinpoint and engage individuals predisposed to their deceptive overtures. Prospective victims are enticed with promises of lucrative weekly remuneration, ranging between $1200 and $1500, contingent upon the completion of daily task “packets” or “resets.”

Researchers using NASA’s James Webb Space Telescope have detected evidence for quartz nanocrystals in the high-altitude clouds of WASP-17 b, a hot Jupiter exoplanet 1,300 light-years from Earth.

The detection, which was uniquely possible with MIRI (Webb’s Mid-Infrared Instrument), marks the first time that silica (SiO2) particles have been spotted in an .

The are only about 10 nanometers across, so small that 10,000 could fit side-by-side across a human hair. Their size and composition of pure silica were reported in “JWST-TST DREAMS: Quartz Clouds in the Atmosphere of WASP-17b,” published in Astrophysical Journal Letters.

Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.

Computational models known as deep neural networks can be trained to do the same thing, correctly identifying an image of a dog regardless of what color its fur is, or a word regardless of the pitch of the speaker’s voice. However, a new study from MIT neuroscientists has found that these models often also respond the same way to images or words that have no resemblance to the target.

When these neural networks were used to generate an image or a word that they responded to in the same way as a specific natural input, such as a picture of a bear, most of them generated images or sounds that were unrecognizable to human observers. This suggests that these models build up their own idiosyncratic “invariances”—meaning that they respond the same way to stimuli with very different features.

Starlink’s website update is revealing a bit more about its plans for a satellite-delivered cell phone service. The new page for “Starlink Direct to Cell” promises “ubiquitous coverage” from “cellphone towers in space” that will work over bog-standard LTE. The current timeline claims there will be text service starting in 2024, voice and data in 2025, and “IoT” service in 2025.

Today satellite phone connectivity still requires giant, purpose-built hardware, like the old-school Iridium network phones. If you’re only looking for emergency texting, you can also make do with Apple’s introduction of the barely there connectivity paradigm, requiring being inside a connectivity window, holding up a phone, and following a signal-targeting app. Starlink wants to bring full-blown space connectivity to normal smartphone hardware.

Microsoft has unveiled a new dataset to help build interactive AI assistants for everyday tasks.

Extensive dataset of egocentric videos

According to Microsoft researchers Xin Wang and Neel Joshi, the dataset, called “HoloAssist,” is the first of its kind to include egocentric videos of humans performing physical tasks, as well as associated instructions from a human tutor.

COVER STORY: The epigenetic clock uses DNA methylation to calculate the metric of “epigenetic age”. Epigenetic age acceleration (epigenetic > chronological age) has been repeatedly linked to pediatric asthma and allergic disease, demonstrating its potential as a diagnostic biomarker. However, questions remain about the accuracy and utility of epigenetic clocks in children.

This review by researchers at University of British Columbia examines the most used current epigenetic clocks and details the associations between epigenetic age acceleration and asthma/allergic disease. They explore the potential of the epigenetic clock as a biomarker for asthma and discuss the need for a pediatric epigenetic clock that is accurate in blood samples in order to maximize the utility of this powerful tool.

Computer scientist Brent Seales and a team of researchers at the University of Kentucky are working to “digitally unwrap” ancient papyri from the Herculaneum library that were carbonized by the eruption of Mount Vesuvius in 79 CE.

Read about it here:


Since 2019, NEH has supported work by computer scientist Brent Seales and a team of researchers at the University of Kentucky in efforts to “digitally unwrap” ancient papyri from the Herculaneum library that were carbonized by the eruption of Mount Vesuvius in 79 A.D.

These fragile coal-like scrolls have been completely unreadable for more than two centuries, but NEH funding has helped researchers refine computerized techniques to digitally unroll X-rayed layers of the compacted papyri to try to discern and decipher their carbon-based ink writings.

In a new study, Abudayyeh and Gootenberg led a team of scientists on a quest to identify and characterize Fanzor enyzmes in large-scale genetic databases. Their genetic mining venture, published in Science Advances, outlines the discovery of over 3,600 Fanzors in eukaryotes, including algae, snails, amoebas and the viruses that infect them.

Fanzors evolved new features to survive and thrive in eukaryotes

Five distinct families of Fanzors could be identified from the study data. By comparing the biological makeup of these families, Abudayyeh and colleagues could track their evolutionary history. Fanzors most likely evolved from proteins called TnpB, which are encoded in transposons – mobile genetic elements often nicknamed “jumping genes”. In Nature, the McGovern team hypothesized that the TnpB gene may have “jumped” from bacteria to eukaryotes in a genetic “shuffling” many years ago. Abudayyeh and Gootenburg’s new study and genetic tracing implies that this event likely occurred several times, with Fanzors “jumping” from viruses and symbiotic bacteria. Their analyses also suggest that once these genes had made their way into eukaryotes, they evolved new features that promoted their survival, including the ability to enter a cell’s nucleus and access its DNA.