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Vulnerability · Published Aug 10, 2026 · Assigned by redhat

CVE-2026-18611Data-science-pipelines-operator: dspo: cryptographically weak secret generation (math/rand) for db and s3 credentials

High 7.5

In plain English

A high-severity security flaw in Red Hat OpenShift AI 2.25 from Red Hat. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.6% (higher than 49% of all known vulnerabilities).

Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.6%top 50.8% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official 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.

Affected products (as reported)

VendorProductVersions
Red Hat Red Hat OpenShift AI 2.25 see references
Red Hat Red Hat OpenShift AI 2.25 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.5 see references
Red Hat Red Hat OpenShift AI 3.5 see references

Weakness: CWE-338 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

References