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‘Grandoreiro’ Malware Resurfaces With Mexico Campaign
The Grandoreiro banking Trojan continues to pose a significant threat to banking customers, primarily in Latin America, more than two years after law enforcement disrupted its operations.
The latest evidence is a new campaign using the 12-year-old payload that’s targeting users in Mexico. The operators are using DLL sideloading and a legitimate file-management application to deliver the malware.
Telemetry from the campaign that security vendor Acronis analyzed showed a handful of victims in North America and Europe as well. But “the overall distribution continues to reflect the malware’s long-standing focus on Spanish-speaking regions,” Acronis said in a report this week.
VS Studio adds another Tekken veteran as Kohei Ikeda joins as game designer
8 director Kohei Ikeda has joined Katsuhiro Harada’s VS Studio.
Ikeda announced his departure from Bandai Namco in June after twenty years with the company. At that time, he did not disclose his future plans but stated he would “continue taking on new challenges as a game developer.”
He has now joined VS Studio as a game designer. “Working on games again with two of my former bosses feels nostalgic in many ways,” Ikeda shared on social media.
How antibiotics work inhibiting RNA polymerase?
Scientists have long been fascinated by two promising classes of antibiotics that disable RNA polymerase (RNAP). They knew that these drugs could grind gene expression to a halt in several pathogens, including the bacterium behind tuberculosis, by binding to specific locations in the RNAP. But despite decades of study, a key question remained: what process are the drugs actually targeting?
Now, a new paper in PNAS solves that mystery and simultaneously uncovers a new element of basic biology. Using these antibiotics as tools to clarify the finer points of RNAP function, the researchers discovered that the enzyme works only if a certain moving part briefly swings into place to stabilize RNA synthesis—and that these drugs disable the enzyme by preventing that motion. The findings reveal a previously unknown mechanism of RNA synthesis shared across diverse forms of life and lay the groundwork for developing next-generation antibiotics.
“It’s sort of a two-for-one,” says the senior author. “We now know how these inhibitors work, and the inhibitors also revealed a conformational change in the active site that we didn’t know was important.”
Neural network approach makes AI uncertainty checks far more efficient
McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.
“Artificial intelligence systems now play a central role in daily life, from medical diagnosis and content moderation to autonomous driving and AI agents that act on our behalf,” said Mame Diarra Touré, lead author and Ph.D. candidate in the Department of Mathematics and Statistics. “As these systems take on more responsibility, they need to become more trustworthy. They should recognize when they are uncertain, rather than giving confident answers in situations where they may be wrong.”
The research was supervised by David A. Stephens, professor in the Department of Mathematics and Statistics. “Singular Bayesian Neural Networks,” by Mame Diarra Touré and Stephens, was presented at the Forty-Third International Conference on Machine Learning (ICML 2026).