This is the linode dashboard for the machine that hosts the backend of https://cortadolab.com.
I had a test keycloak instance that I accidentally left open for weeks, and on the 6th september it apparently went crazy 😳
This is the linode dashboard for the machine that hosts the backend of https://cortadolab.com.
I had a test keycloak instance that I accidentally left open for weeks, and on the 6th september it apparently went crazy 😳
Nel tempo libero mi diverto così..
Podman | systemd | minio | Linux loop devices
I'm trying to set up phpactor for wordpress plugin development.
I'm starting with something simple as the hello-dolly plugin. While I'm able to get definitions and syntax for the local functions, I cannot make it pick up definitions of wp functions.
Which setting should I look at for my %project_root%/.phpactor.yml?
OK, so here's my slightly more eloquent take on the xz thing, complete with a zinger closing paragraph:
https://lcamtuf.substack.com/p/technologist-vs-spy-the-xz-backdoor
My new book will never be translated in English. It's composed of nine short stories about fictional famous computer programmers. I translated a few with GPT-4 and will release them as web pages. Here is the first one (Note: this content may offend you)
invece.org/raf.html
For nearly two decades, CAPTCHAs have been widely used as a means of protection against bots. Throughout the years, as their use grew, techniques to defeat or bypass CAPTCHAs have continued to improve. Meanwhile, CAPTCHAs have also evolved in terms of sophistication and diversity, becoming increasingly difficult to solve for both bots (machines) and humans. Given this long-standing and still-ongoing arms race, it is critical to investigate how long it takes legitimate users to solve modern CAPTCHAs, and how they are perceived by those users. In this work, we explore CAPTCHAs in the wild by evaluating users' solving performance and perceptions of unmodified currently-deployed CAPTCHAs. We obtain this data through manual inspection of popular websites and user studies in which 1,400 participants collectively solved 14,000 CAPTCHAs. Results show significant differences between the most popular types of CAPTCHAs: surprisingly, solving time and user perception are not always correlated. We performed a comparative study to investigate the effect of experimental context -- specifically the difference between solving CAPTCHAs directly versus solving them as part of a more natural task, such as account creation. Whilst there were several potential confounding factors, our results show that experimental context could have an impact on this task, and must be taken into account in future CAPTCHA studies. Finally, we investigate CAPTCHA-induced user task abandonment by analyzing participants who start and do not complete the task.