Vulnerability Monitor

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CVE-2023-3361


A flaw was found in Red Hat OpenShift Data Science. When exporting a pipeline from the Elyra notebook pipeline editor as Python DSL or YAML, it reads S3 credentials from the cluster (ds pipeline server) and saves them in plain text in the generated output instead of an ID for a Kubernetes secret.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.7, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 2 products from opendatahub, from redhat organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2023, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2023-10-04T12:15:10.567

Last Modified

2026-06-17T06:13:53.660

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 7.7 (HIGH)

Weaknesses
  • Type: Secondary
    CWE-200
  • Type: Primary
    CWE-319

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application opendatahub open_data_hub_dashboard < 1.28.1 Yes
Application redhat openshift_data_science - Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For opendatahub's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.