Agent Tesla malware receives module for stealing Wi-Fi passwords

Agent Tesla malware receives module for stealing Wi-Fi passwords

Malwarebytes security researchers have reported that the Tesla Agent has a module that steals Wi-Fi passwords. In addition to Wi-Fi profiles, malicious software also collects data about the target system, including FTP clients, browsers, file download programs, and machine information.

https://www.itproportal.com/news/agent-tesla-malware-receives-module-for-stealing-wi-fi-passwords/

Hackers steal WiFi passwords using upgraded Agent Tesla malware

Hackers steal WiFi passwords using upgraded Agent Tesla malware

Several variants of malware that steal information The Tesla Agent is equipped with a dedicated module to steal Wi-Fi passwords through infected devices that can be used in future attacks to spread to other systems on the same wireless network.

https://www.bleepingcomputer.com/news/security/hackers-steal-wifi-passwords-using-upgraded-agent-tesla-malware/

Many UK organisations aren’t using data analytics tools

Many UK organisations aren’t using data analytics tools

Some companies do not use data analysis platforms that help with useful data based on management’s feelings. More and more companies still manually manage their critical processes and data processing, putting enormous pressure on the dependence of key people in organizations.

https://www.itproportal.com/news/a-large-amount-of-uk-organisations-arent-using-data-analytics-tools/

PAI-TECH

PAI-TECH

By analyzing music, Watson is able to distinguish between sad and joyful melodies easily. Joyful compositions, it maintains in a major key and sad in the minor key—revolutionary technology with recognition of composition schemes. However, professional authors’ artists are very skeptical; they believe that experiencing real emotions can not be replaced by an algorithm.

Aspherical microlenses

Aspherical microlenses

Researchers at the Faculty of Physics of the University of Warsaw surprised us by designing and creating with the help of a unique 3D laser printer on a scale – tiny lenses. Their size is smaller than human hair, and they will play invaluable help in optical measurements of semiconductor structures. Lenses can observe light from samples containing, for example, quantum dots or, recently, prevalent, atomic thin two-dimensional materials. These include molybdenum dioxide and tungsten dioxide, which have a graphene-like structure. The microlenses surface is designed so that the light emitted from the sample is formed into a beam of photons with low divergence, which beam can quickly be sent to research and measuring equipment. This is a step to replace the expensive and bulky size microscope lens.

https://lnkd.in/dHD2tu8