CVE-2026-17557

A flaw was found in the lm-evaluation-harness component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the JobSpec. This vulnerability allows for the disclosure of the tenant's model authentication secret ...

CVE-2026-17557

A flaw was found in the lm-evaluation-harness component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the JobSpec. This vulnerability allows for the disclosure of the tenant's model authentication secret ...

CVE-2026-17557 Lm-evaluation-harness: lm-evaluation-harness: ssrf via job-spec model.url with bearer credential forwarding

A flaw was found in the lm-evaluation-harness component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the JobSpec. This vulnerability allows for the disclosure of the tenant's model authentication secret ...

EUVD-2026-107135

A flaw was found in the lm-evaluation-harness component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the JobSpec. This vulnerability allows for the disclosure of the tenant's model authentication secret ...

CVE-2026-17557

A vulnerability exists in the lm-evaluation-harness component of Red Hat OpenShift AI . An authenticated user capable of submitting evaluation jobs can exploit this by providing a malicious model URL in the JobSpec . This flaw allows for the disclosure of the tenant's model authentication secret ...

PT-2026-120495

A flaw was found in the lm-evaluation-harness component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the JobSpec. This vulnerability allows for the disclosure of the tenant's model authentication secret ...

Amazon Nova AI Challenge -- Trusted AI: Advancing Secure, AI-Assisted Software Development

AI systems for software development are rapidly gaining prominence, yet significant challenges remain in ensuring their safety. To address this, Amazon launched the Trusted AI track of the Amazon Nova AI Challenge, a global competition among 10 university teams to drive advances in secure AI. In...