6 matches found
CVE-2026-34760 vLLM: Downmix Implementation Differences as Attack Vectors Against Audio AI Models
vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...
BIT-GITLAB-2026-1724 Missing Authentication for Critical Function in GitLab
GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...
CVE-2026-1724
GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...
CVE-2026-1724 Missing Authentication for Critical Function in GitLab
GitLab has remediated an issue in GitLab EE affecting all versions from 18.5 before 18.8.7, 18.9 before 18.9.3, and 18.10 before 18.10.1 that could have allowed an unauthenticated user to access API tokens of self-hosted AI models due to improper access control...
CVE-2026-1724
Summary: CVE-2026-1724 concerns GitLab Enterprise Edition where an improper access control vulnerability could allow an unauthenticated user to access API tokens for self-hosted AI models. The issue affects GitLab versions 18.5 up to 18.8.7, 18.9 up to 18.9.3, and 18.10 up to 18.10.1. Root cause ...
Webinar: How Attackers Exploit Cloud Misconfigurations Across AWS, AI Models, and Kubernetes
Cloud security is changing. Attackers are no longer just breaking down the door; they are finding unlocked windows in your configurations, your identities, and your code. Standard security tools often miss these threats because they look like normal activity. To stop them, you need to see exactly...