Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 | affected |
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| Red Hat | Red Hat OpenShift AI 2.25 | affected |
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| Red Hat | Red Hat OpenShift AI 3.3 | affected |
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| Red Hat | Red Hat OpenShift AI 3.4 | affected |
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| Red Hat | Red Hat OpenShift AI 3.4 | affected |
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| Red Hat | Red Hat OpenShift AI 3.5 | affected |
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| Red Hat | Red Hat OpenShift AI 3.5 | affected |
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No data.
No data.
| Vendor | Product | Versions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat Openshift Ai (rhoai) |
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Vendor Workaround
To mitigate this issue, users should explicitly provide strong, cryptographically secure credentials for MariaDB and MinIO when deploying the Data Science Pipelines Operator. Additionally, restrict network access to the MinIO and MariaDB services using OpenShift NetworkPolicies to limit exposure. Avoid exposing MinIO via public OpenShift Routes unless absolutely necessary and ensure MariaDB is not configured with an empty root password.
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.606% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| CPEs | cpe:/a:redhat:openshift_ai:3.5::el9 | |
| References |
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| References |
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| Type | Values Removed | Values Added |
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| References |
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| Type | Values Removed | Values Added |
|---|---|---|
| CPEs | cpe:/a:redhat:openshift_ai:2.25::el9 cpe:/a:redhat:openshift_ai:3.4::el9 |
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| References |
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| Type | Values Removed | Values Added |
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| Metrics |
ssvc
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| Type | Values Removed | Values Added |
|---|---|---|
| CPEs | cpe:/a:redhat:openshift_ai:3.3::el9 | |
| References |
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| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Red Hat
Red Hat red Hat Openshift Ai (rhoai) |
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| Vendors & Products |
Red Hat
Red Hat red Hat Openshift Ai (rhoai) |
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| References |
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| Metrics |
threat_severity
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threat_severity
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| Description | A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure. | |
| Title | Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials | |
| First Time appeared |
Redhat
Redhat openshift Ai |
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| Weaknesses | CWE-338 | |
| CPEs | cpe:/a:redhat:openshift_ai | |
| Vendors & Products |
Redhat
Redhat openshift Ai |
|
| References |
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| Metrics |
cvssV3_1
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