Filtered by vendor Redhat Subscriptions
Filtered by product Enterprise Linux Ai Subscriptions
Total 4 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2024-8939 1 Redhat 1 Enterprise Linux Ai 2024-12-24 6.2 Medium
A vulnerability was found in the ilab model serve component, where improper handling of the best_of parameter in the vllm JSON web API can lead to a Denial of Service (DoS). The API used for LLM-based sentence or chat completion accepts a best_of parameter to return the best completion from several options. When this parameter is set to a large value, the API does not handle timeouts or resource exhaustion properly, allowing an attacker to cause a DoS by consuming excessive system resources. This leads to the API becoming unresponsive, preventing legitimate users from accessing the service.
CVE-2024-8768 1 Redhat 1 Enterprise Linux Ai 2024-12-24 7.5 High
A flaw was found in the vLLM library. A completions API request with an empty prompt will crash the vLLM API server, resulting in a denial of service.
CVE-2024-8775 1 Redhat 4 Ansible Automation Platform, Ansible Automation Platform Developer, Ansible Automation Platform Inside and 1 more 2024-12-18 5.5 Medium
A flaw was found in Ansible, where sensitive information stored in Ansible Vault files can be exposed in plaintext during the execution of a playbook. This occurs when using tasks such as include_vars to load vaulted variables without setting the no_log: true parameter, resulting in sensitive data being printed in the playbook output or logs. This can lead to the unintentional disclosure of secrets like passwords or API keys, compromising security and potentially allowing unauthorized access or actions.
CVE-2024-11079 1 Redhat 4 Ansible Automation Platform, Ansible Automation Platform Developer, Ansible Automation Platform Inside and 1 more 2024-12-18 5.5 Medium
A flaw was found in Ansible-Core. This vulnerability allows attackers to bypass unsafe content protections using the hostvars object to reference and execute templated content. This issue can lead to arbitrary code execution if remote data or module outputs are improperly templated within playbooks.