CVE-2026-18611 (GCVE-0-2026-18611)

Vulnerability from cvelistv5 – Published: 2026-08-10 20:45 – Updated: 2026-09-21 11:27
VLAI
Title
Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials
Summary
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.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-11 17:49 UTC
CWE
  • CWE-338 - Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
Assigner
References
URL Tags
https://access.redhat.com/errata/RHSA-2026:53261 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:53262 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:53263 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:60367 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:60520 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:65126 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/security/cve/CVE-2026-18611 vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2510299 issue-trackingx_refsource_REDHAT
Impacted products
Vendor Product Version CPE status
Red Hat Red Hat OpenShift AI 2.25 Unaffected: 1785189332 , < * (rpm)
    cpe:/a:redhat:openshift_ai:2.25::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI 2.25 Unaffected: 1788182334 , < * (rpm)
    cpe:/a:redhat:openshift_ai:2.25::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI 3.3 Unaffected: 1785187936 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.3::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1784833428 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1787002057 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI 3.5 Unaffected: 1786552271 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.5::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI 3.5 Unaffected: 1786552250 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.5::el9
Create a notification for this product.
Date Public
2026-08-10 18:47
Show details on NVD website
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.