Bug 2567952 (CVE-2026-88985)

Summary: CVE-2026-88985 github.com/kubeflow/pipelines: Kubeflow Pipelines: Information disclosure via SQL injection in pagination token handling
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: medium Docs Contact:
Priority: medium    
Version: unspecifiedKeywords: Security
Target Milestone: ---   
Target Release: ---   
Hardware: All   
OS: Linux   
Whiteboard:
Fixed In Version: Doc Type: ---
Doc Text:
A flaw was found in Kubeflow Pipelines, which can lead to information disclosure. An authenticated remote attacker with permissions to list pipelines or runs can exploit this vulnerability by submitting a crafted pagination token containing manipulated database query fields. Because the API server trusts these decoded parameters when constructing queries without proper validation, an attacker can perform Structured Query Language (SQL) injection to read sensitive data across namespaces accessible to the database account.
Story Points: ---
Clone Of: Environment:
Last Closed: Type: ---
Regression: --- Mount Type: ---
Documentation: --- CRM:
Verified Versions: Category: ---
oVirt Team: --- RHEL 7.3 requirements from Atomic Host:
Cloudforms Team: --- Target Upstream Version:
Embargoed:

Description OSIDB Bzimport 2026-11-05 22:41:36 UTC
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server trusts structural SQL identifier fields decoded from the base64-encoded JSON page_token parameter before constructing list queries. An attacker who can invoke an affected pipeline or run list API can inject through KeyFieldName or SortByFieldName, including v1beta1 and v2beta1 run-listing metric paths, and read data available to the API server database account across namespaces. Database modification is not established. This issue is fixed in version 2.17.0.