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Fencer Vulns
high 7.5

CVE-2026-18611 json

Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials

published 2026-08-10 2 mo ago modified 2026-09-21 49 d ago also EUVD-2026-55824

cvss
7.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.6%
EPSS 0.6% chance of exploitation in 30 days, percentile 49%
public exploits
0
none known

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.

Patch / fix

  • Red Hat Red Hat OpenShift AI 2.25 1785189332, 1788182334
  • Red Hat Red Hat OpenShift AI 3.3 1785187936
  • Red Hat Red Hat OpenShift AI 3.4 1784833428, 1787002057
  • Red Hat Red Hat OpenShift AI 3.5 1786552250, 1786552271

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-18611 updated cvss 7.5

data-science-pipelines-operator: DSPO: Cryptographically weak secret generation (math/rand) for DB and S3 credentials

  • Red Hat OpenShift AI 2.25 rhoai/odh-data-science-pipelines-operator-controller-rhel9 1785189332, rhoai/odh-data-science-pipelines-operator-controller-rhel9 1788182334
    fixed: vendor fix RHSA-2026:53261
  • Red Hat OpenShift AI 3.3 rhoai/odh-data-science-pipelines-operator-controller-rhel9 1785187936
    fixed: vendor fix RHSA-2026:53263
  • Red Hat OpenShift AI 3.4 rhoai/odh-data-science-pipelines-operator-controller-rhel9 1784833428, rhoai/odh-data-science-pipelines-operator-controller-rhel9 1787002057
    fixed: vendor fix RHSA-2026:53262
  • Red Hat OpenShift AI 3.5 rhoai/odh-latency-predictor-training-rhel9 1786552250, rhoai/odh-latency-predictor-prediction-rhel9 1786552271
    fixed: vendor fix RHSA-2026:60367
  • Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1786112809, rhoai/odh-rhel9-operator 1788331391, rhoai/odh-vllm-cpu-rhel9 1786712073, rhoai/odh-dashboard-rhel9 1785940823, rhoai/odh-dashboard-rhel9 1788312226, rhoai/odh-modelmesh-rhel9 1788319539, +95 more Red Hat OpenShift AI 3.3 rhoai/odh-trainer-rhel9 1785187865, rhoai/odh-rhel9-operator 1786129846, rhoai/odh-dashboard-rhel9 1786109683, rhoai/odh-operator-bundle 1786130475, rhoai/odh-ta-lmes-job-rhel9 1785187607, rhoai/odh-mod-arch-maas-rhel9 1786109736, +21 more Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1787330837, rhoai/rhai-cli-rhel9 1787330837, rhoai/odh-automl-rhel9 1786612415, rhoai/odh-mlflow-rhel9 1787226790, rhoai/odh-autorag-rhel9 1786612637, rhoai/odh-trainer-rhel9 1784039162, +135 more
    not affected: vulnerable code not present

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

CISA SSVC

Exploitation
none
Automatable
yes
Technical impact
partial
Assessed
2 mo ago

Exploit prediction

0.61% chance of exploitation in the next 30 days, higher than 49% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Affected products

  • Red Hat Red Hat OpenShift AI 2.25
  • Red Hat Red Hat OpenShift AI 3.3
  • Red Hat Red Hat OpenShift AI 3.4
  • Red Hat Red Hat OpenShift AI 3.5

Classification

Weakness
  • CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)

References

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.