Tag: Ruby

  • The Register: ‘Alarming’ bugs lay low in Ubuntu Server utility for 10 years

    Source URL: https://www.theregister.com/2024/11/21/qualys_ubuntu_server_vulnerabilities/ Source: The Register Title: ‘Alarming’ bugs lay low in Ubuntu Server utility for 10 years Feedly Summary: Update now: Qualys says vulnerabilities give root and are ‘easily exploitable’ Researchers at Qualys refuse to release exploit code for five bugs in Ubuntu Server’s needrestart utility that allow unprivileged attackers to gain root access…

  • Slashdot: Ubuntu Linux Impacted By Decade-Old ‘needrestart’ Flaw That Gives Root

    Source URL: https://it.slashdot.org/story/24/11/21/0057206/ubuntu-linux-impacted-by-decade-old-needrestart-flaw-that-gives-root?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Ubuntu Linux Impacted By Decade-Old ‘needrestart’ Flaw That Gives Root Feedly Summary: AI Summary and Description: Yes Summary: The text details five local privilege escalation vulnerabilities found in the Linux utility “needrestart,” crucial for professionals in security and compliance to recognize, as they highlight significant risks associated with resource…

  • Hacker News: Understanding Ruby 3.3 Concurrency: A Comprehensive Guide

    Source URL: https://blog.bestwebventures.in/understanding-ruby-concurrency-a-comprehensive-guide Source: Hacker News Title: Understanding Ruby 3.3 Concurrency: A Comprehensive Guide Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration of Ruby 3.3’s enhanced concurrency capabilities, which are critical for developing efficient applications in AI and machine learning. With improved concurrency models like Ractors, Threads, and…

  • Hacker News: Low-poly image generation using evolutionary algorithms in Ruby

    Source URL: https://thomascountz.com/2023/07/30/low-poly-image-generation Source: Hacker News Title: Low-poly image generation using evolutionary algorithms in Ruby Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves into the application of evolutionary algorithms inspired by biological systems for tasks like image reconstruction, particularly creating low-poly representations. It explores the structure of genetic algorithms, the configuration…