There is a project on GitHub called Axios. Axios is extremely popular. It is used by millions upon millions of applications. Axios is a programming library that helps your JavaScript code make HTTP/S requests (communicate with websites). In simple terms, if you're a programmer doing something with JavaScript, and want to do stuff that communicates with a website in literally any capacity, people heavily recommend using Axios due to its simplicity. Using Axios you don't have to reinvent the wheel and do a bunch of work. All you need to do is import Axios into your code and you're off to the races. Someone (currently unknown) compromised Axios (currently unknown how) to deliver malware to people. When someone updates or installs Axios, Axios itself contains malware. What the malware does is (currently) unknown, but it is being reversed engineered by probably every malware analyst on the planet at this moment. In a few hours more details will emerge. Information is being exchanged in real time on social media and private communication platforms as I write this. Due to the size and popularity of Axios, it is unknown how many are impacted, it could be millions, it could be thousands, or if we're lucky, only hundreds of people or organizations will be impacted. If this is absolute worst case scenario, millions of organizations across the planet have been infected with malware which (currently) we do not understand. However, the likelihood of this is low. It appears Axios being compromised was detected quickly, potentially within minutes (or hours) of it being compromised to deliver malware. Additionally, the likelihood of every single Axios user updating Axios as soon as it was compromised to deliver malware is astronomically low. It is basically zero. The impact from Axios being compromised is devastating, the fallout from this will be a massive headache. This is unironically a malware nuclear missile and will likely be studied in the future.

🚨BREAKING NEWS🚨 JEFFREY EPSTEIN KEPT A FULL COPY OF THE 2005 BASH REFERENCE MANUAL justice.gov/epstein/files/Da…