New Linux Kernel Vulnerabilities Patched in All Supported Ubuntu Releases

It would appear that a serious vulnerability is affecting most GNU/Linux distributions running a Linux kernel before version 5.10.7. The flaw (CVE-2020-28374) was discovered in Linux kernel’s LIO SCSI target implementation and could allow a remote attacker with access to at least one iSCSI LUN in a multiple backstore environment to expose sensitive information or modify data. This flaw was patched today in Ubuntu 20.10 (Groovy Gorilla) systems running Linux kernel 5.8, Ubuntu 20.04 LTS (Focal Fossa) systems running Linux kernel 5.4, Ubuntu 18.04 LTS (Bionic Beaver) systems running Linux kernel 5.4 or 4.15, as well as Ubuntu 16.04 LTS (Xenial Xerus) and Ubuntu 14.04 ESM systems running Linux kernel 4.4.

Android Leftovers

• OnePlus Launcher update gives older phones a taste of Oxygen OS 11

• Android 11 is now available for the Sony Xperia 10 II

• Samsung Galaxy F41 gets Android 11 update with One UI 3.0

• Android 12 could introduce color themes that let you redesign menus and apps

• Nokia’s 8.3 Android Smartphone is backed by four rear cameras at $380 (Save $200+)

• Liftoff: Android may gain in ads as IDFA changes hurt iOS games and apps

• Redmi Note 9T review: Making 5G accessible to everyone

• 5 Reasons Why Android Software Updates are Screwed

• How to find your lost Android smartphone and erase data remotely

Cluster Server R2 2U rack cluster server ships with up to 72 Rockchip RK3399/RK3328 SoMs

Rockchip RK3399 and RK3328 are typically used in Chromebooks, single board computers, TV boxes, and all sort of AIoT devices, but if you ever wanted to create a cluster based on those processor, Firefly Cluster Server R2 leverages the company’s RK3399, RK3328, or even RK1808 NPU SoM to bring 72 modules to a 2U rack cluster server enclosure, for a total of up to 432 Arm Cortex-A72/A53 cores, 288 GB RAM, and 18 3.5-inch hard drives. Firefly says the cluster can run Android, Ubuntu, or some other Linux distributions. Typical use cases include “cloud phone”, virtual desktop, edge computing, cloud gaming, cloud storage, blockchain, multi-channel video decoding, app cloning, etc. When fitted with the AI accelerators, it looks similar to Solidrun Janux GS31 Edge AI server designed for real-time inference on multiple video streams for the monitoring of smart cities & infrastructure, intelligent enterprise/industrial video surveillance, object detection, recognition & classification, smart visual analysis, and more. There’s no Wiki for Cluster Server R2 just yet, but you may find some relevant information on the Wiki for an earlier generation of the cluster server.