Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 263

Cybersecurity researchers are warning about a spike in malicious activity that involves roping vulnerable D-Link routers into two different botnets, a Mirai variant dubbed FICORA and a Kaiten (aka Tsunami) variant called CAPSAICIN.

“These botnets are frequently spread through documented D-Link vulnerabilities that allow remote attackers to execute malicious commands via a GetDeviceSettings action on the HNAP (Home Network Administration Protocol) interface,” Fortinet FortiGuard Labs researcher Vincent Li said in a Thursday analysis.

“This HNAP weakness was first exposed almost a decade ago, with numerous devices affected by a variety of CVE numbers, including CVE-2015–2051, CVE-2019–10891, CVE-2022–37056, and CVE-2024–33112.”

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Northwestern University engineers have successfully demonstrated quantum teleportation over fiber optic cables actively carrying Internet traffic, marking a significant step toward practical quantum communication networks that could use existing infrastructure.

Published in Optica | Estimated reading time: 4 minutes

“This is incredibly exciting because nobody thought it was possible,” said Northwestern’s Prem Kumar, who led the study. “Our work shows a path towards next-generation quantum and classical networks sharing a unified fiber optic infrastructure. Basically, it opens the door to pushing quantum communications to the next level.”

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Although each condition occurs in a small number of individuals, collectively these diseases exert a staggering human and economic toll because they affect some 300 million people worldwide. Yet, with a mere 5 to 7 percent of these conditions having an FDA-approved drug, they remain largely untreated or undertreated.

Developing new medicines represents a daunting challenge, but a new artificial intelligence tool can propel the discovery of new therapies from existing medicines, offering hope for patients with rare and neglected conditions and for the clinicians who treat them.

The AI model, called TxGNN, is the first one developed specifically to identify drug candidates for rare diseases and conditions with no treatments.

Identifies possible therapies for thousands of diseases, including ones with no current treatments.

Continue reading “Using AI to repurpose existing drugs for treatment of rare diseases” | >