Unauthorized Access Vulnerability in Red Hat OpenShift AI Llama Stack Operator
CVE-2025-12805

8.1HIGH

What is CVE-2025-12805?

A flaw in Red Hat OpenShift AI's Llama Stack Operator enables unauthorized users to bypass namespace barriers, allowing them to access Llama Stack services directly through network requests. This lack of a NetworkPolicy permits users in one namespace to interact with Llama Stack instances belonging to other namespaces, potentially exposing sensitive data and functionalities to unauthorized parties.

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Affected Version(s)

Red Hat OpenShift AI 2.25 sha256:c0d95dfbae20e87113ffb81026d379bb63ad300447df98b27d1bf9a83b084744

Red Hat OpenShift AI 2.25 sha256:1d258fe98c2477e4256a9b936f412f2501fb7ca9e3b810347f9712e0d5ce5c92

References

CVSS V3.1

Score:
8.1
Severity:
HIGH
Confidentiality:
High
Integrity:
High
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

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