VulnerabilityModified
CVE-2023-3361
A flaw was found in Red Hat OpenShift Data Science.
HIGH 7.5EPSS 0.47%
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (0.47%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
Description
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.
- CVSS 3.1
- 7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- EPSS
- 0.47% probability · 39th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-200, CWE-319
- Affected
- opendatahub/open data hub dashboard · redhat/openshift data science
- Source
- secalert@redhat.com
References
- https://access.redhat.com/security/cve/CVE-2023-3361Third Party Advisory
- https://bugzilla.redhat.com/show_bug.cgi?id=2216588Issue Tracking, Third Party Advisory
- https://github.com/opendatahub-io/odh-dashboard/issues/1415Issue Tracking
- https://access.redhat.com/security/cve/CVE-2023-3361Third Party Advisory
- https://bugzilla.redhat.com/show_bug.cgi?id=2216588Issue Tracking, Third Party Advisory
- https://github.com/opendatahub-io/odh-dashboard/issues/1415Issue Tracking
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.