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4 vulnerabilities found for Red Hat OpenShift Data Science (RHODS) by Red Hat
CVE-2024-7557 (GCVE-0-2024-7557)
Vulnerability from nvd – Published: 2024-08-08 21:33 – Updated: 2026-03-19 16:43
VLAI
Title
Odh-dashboard: odh-model-controller: cross-model authentication bypass in openshift ai
Summary
A vulnerability was found in OpenShift AI that allows for authentication bypass and privilege escalation across models within the same namespace. When deploying AI models, the UI provides the option to protect models with authentication. However, credentials from one model can be used to access other models and APIs within the same namespace. The exposed ServiceAccount tokens, visible in the UI, can be utilized with oc --token={token} to exploit the elevated view privileges associated with the ServiceAccount, leading to unauthorized access to additional resources.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-305 - Authentication Bypass by Primary Weakness
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2024-7557 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2303094 | issue-trackingx_refsource_REDHAT |
| https://github.com/opendatahub-io/odh-dashboard/p… |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
|
Affected:
2.8.*
(semver)
Affected: 2.11 (semver) Unaffected: a122ad06a297f4e8b2a065eece910aa882cc3fa6 (git) |
|||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift Data Science (RHODS) |
cpe:/a:redhat:openshift_data_science |
Date Public
2024-08-07 00:00
Credits
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CVE-2023-3361 (GCVE-0-2023-3361)
Vulnerability from nvd – Published: 2023-10-04 11:34 – Updated: 2024-09-19 19:18
VLAI
Title
S3 credentials included when exporting elyra notebook
Summary
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.
Severity
7.7 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2023-3361 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2216588 | issue-trackingx_refsource_REDHAT |
| https://github.com/opendatahub-io/odh-dashboard/i… |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | odh-dashboard |
Unaffected:
1.28.1
|
|
| Red Hat | Red Hat OpenShift Data Science (RHODS) |
cpe:/a:redhat:openshift_data_science |
Date Public
2023-06-20 00:00
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CVE-2024-7557 (GCVE-0-2024-7557)
Vulnerability from cvelistv5 – Published: 2024-08-08 21:33 – Updated: 2026-03-19 16:43
VLAI
Title
Odh-dashboard: odh-model-controller: cross-model authentication bypass in openshift ai
Summary
A vulnerability was found in OpenShift AI that allows for authentication bypass and privilege escalation across models within the same namespace. When deploying AI models, the UI provides the option to protect models with authentication. However, credentials from one model can be used to access other models and APIs within the same namespace. The exposed ServiceAccount tokens, visible in the UI, can be utilized with oc --token={token} to exploit the elevated view privileges associated with the ServiceAccount, leading to unauthorized access to additional resources.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-305 - Authentication Bypass by Primary Weakness
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2024-7557 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2303094 | issue-trackingx_refsource_REDHAT |
| https://github.com/opendatahub-io/odh-dashboard/p… |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
|
Affected:
2.8.*
(semver)
Affected: 2.11 (semver) Unaffected: a122ad06a297f4e8b2a065eece910aa882cc3fa6 (git) |
|||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift Data Science (RHODS) |
cpe:/a:redhat:openshift_data_science |
Date Public
2024-08-07 00:00
Credits
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CVE-2023-3361 (GCVE-0-2023-3361)
Vulnerability from cvelistv5 – Published: 2023-10-04 11:34 – Updated: 2024-09-19 19:18
VLAI
Title
S3 credentials included when exporting elyra notebook
Summary
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.
Severity
7.7 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2023-3361 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2216588 | issue-trackingx_refsource_REDHAT |
| https://github.com/opendatahub-io/odh-dashboard/i… |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | odh-dashboard |
Unaffected:
1.28.1
|
|
| Red Hat | Red Hat OpenShift Data Science (RHODS) |
cpe:/a:redhat:openshift_data_science |
Date Public
2023-06-20 00:00
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