Hackers can Access Zoom Users’ Passwords by Analyzing their Body Movements - Visualistan -->

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It has been discovered through a research conducted at the University of Texas, San Antonio and University of Oklahama, that hackers may be able to guess passwords and other important details of Zoom users by analyzing their body positions and language while on a video conference call.  


According to the research, hackers could study users’ specific body movements such as their shoulder movements while they type and detect keystrokes by analyzing their upper arm movements with as much as 93% accuracy.  


The research further found out that the chances of Zoom users being at risk of getting their information hacked are much higher due to the coronavirus pandemic, as Zoom’s platform is being used much more during this time than usual.  


Moreover, it is surprising how it could be so simple for hackers to detect users’ body movements, without having to rely on AI or any other machine learning.  


Thanks to this research, Zoom users have been warned to be more careful about protecting their private information while engaging via the platform.  

Hackers can Access Zoom Users’ Passwords by Analyzing their Body Movements


It has been discovered through a research conducted at the University of Texas, San Antonio and University of Oklahama, that hackers may be able to guess passwords and other important details of Zoom users by analyzing their body positions and language while on a video conference call.  


According to the research, hackers could study users’ specific body movements such as their shoulder movements while they type and detect keystrokes by analyzing their upper arm movements with as much as 93% accuracy.  


The research further found out that the chances of Zoom users being at risk of getting their information hacked are much higher due to the coronavirus pandemic, as Zoom’s platform is being used much more during this time than usual.  


Moreover, it is surprising how it could be so simple for hackers to detect users’ body movements, without having to rely on AI or any other machine learning.  


Thanks to this research, Zoom users have been warned to be more careful about protecting their private information while engaging via the platform.  

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