#red_hat

TL;DR: All versions of Red Hat Enterprise Linux (RHEL) are affected by CVE-2024-47076, CVE-2024-47175, CVE-2024-47176 and CVE-2024-47177, but are not vulnerable in their default configurations.Red Hat has been made aware of a group of vulnerabilities (CVE-2024-47076, CVE-2024-47175, CVE-2024-47176 and CVE-2024-47177) within OpenPrinting CUPS, an open source printing system that is prevalent in most modern Linux distributions, including RHEL. Specifically, CUPS provides tools to manage, discover and share printers for Linux distributions. By chaining this group of vulnerabilities together, an a

Red Hat Security Advisory 2024-7103-03 - An update for grafana-pcp is now available for Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions.

Red Hat Security Advisory 2024-7102-03 - An update for grafana is now available for Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions.

Red Hat Security Advisory 2024-7101-03 - An update for httpd is now available for Red Hat Enterprise Linux 7 Extended Lifecycle Support.

Red Hat Security Advisory 2024-7074-03 - Network Observability 1.6 for Red Hat OpenShift. Issues addressed include a denial of service vulnerability.

Red Hat Security Advisory 2024-6827-03 - Red Hat OpenShift Container Platform release 4.16.14 is now available with updates to packages and images that fix several bugs and add enhancements. Issues addressed include an open redirection vulnerability.

Red Hat Security Advisory 2024-6824-03 - Red Hat OpenShift Container Platform release 4.16.14 is now available with updates to packages and images that fix several bugs and add enhancements.

Red Hat Security Advisory 2024-6818-03 - Red Hat OpenShift Container Platform release 4.15.34 is now available with updates to packages and images that fix several bugs and add enhancements. Issues addressed include a denial of service vulnerability.

Red Hat Security Advisory 2024-6811-03 - Red Hat OpenShift Container Platform release 4.13.51 is now available with updates to packages and images that fix several bugs and add enhancements. Issues addressed include a denial of service vulnerability.

Most general purpose large language models (LLM) are trained with a wide range of generic data on the internet. They often lack domain-specific knowledge, which makes it challenging to generate accurate or relevant responses in specialized fields. They also lack the ability to process new or technical terms, leading to misunderstandings or incorrect information.An "AI hallucination" is a term used to indicate that an AI model has produced information that's either false or misleading, but is presented as factual. This is a direct result of the model training goal of always predicting the next