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EPSS 0.4%top 67%

A flaw was found in the Data Science Pipelines Operator. (CVE-2026-18611)

0
High
Published: 08/10/2026 (08/10/2026, 21:32:06 UTC)
Source: GCVE Database

Description

A vulnerability in the Data Science Pipelines Operator allows unauthenticated attackers to predict sensitive credentials due to the use of a cryptographically weak pseudo-random number generator. This flaw enables attackers with access to the MinIO Route or MariaDB Service to derive credentials such as MariaDB root/user passwords and MinIO access/secret keys, potentially leading to unauthorized access to pipeline artifacts and metadata. The vulnerability has a high severity score of 7.5 and is identified as CWE-338. Red Hat has issued advisories related to this vulnerability but has not yet provided a fix. Users are advised to monitor vendor documentation for updates and apply patches once available.

CVSS v3.1

Score 7.5high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 08/12/2026, 17:33:37 UTC

Technical Analysis

CVE-2026-18611 is a vulnerability in the Data Science Pipelines Operator where a cryptographically weak pseudo-random number generator is used to generate sensitive credentials. This weakness allows an unauthenticated attacker who can access the MinIO Route or MariaDB Service to predict and derive credentials such as MariaDB root/user passwords and MinIO access/secret keys. Exploitation could result in unauthorized access to all pipeline artifacts and metadata, causing significant information disclosure. The vulnerability has a CVSS 3.1 base score of 7.5 (High) with network attack vector, low attack complexity, no privileges required, no user interaction, and high confidentiality impact. Red Hat advisories acknowledge the issue but currently list no fixes for affected versions, recommending users to follow upgrade instructions when updates become available.

Potential Impact

Successful exploitation allows unauthenticated attackers to predict and obtain sensitive credentials for MariaDB and MinIO services used by the Data Science Pipelines Operator. This leads to unauthorized access to pipeline artifacts and metadata, resulting in significant information disclosure. The vulnerability does not affect integrity or availability directly but poses a high confidentiality risk.

Mitigation Recommendations

Currently, no official fix is available for this vulnerability as per the Red Hat advisories. Users should closely follow Red Hat's documentation and upgrade instructions for Red Hat OpenShift AI when updated images or patches are released. Until a fix is provided, restrict access to the MinIO Route and MariaDB Service to trusted users only to reduce exposure. Monitor Red Hat security advisories for updates and apply patches promptly once available.

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Technical Details

Gcve Source
db.gcve.eu
Osv Id
GHSA-5qmg-pgg7-3rjj
Osv Schema Version
1.4.0
Aliases
["CVE-2026-18611"]
Ecosystems
[]
Database Specific Severity
HIGH
Cvss Version
3.1

Threat ID: 6a7c9b73bf8831d539ce0be2

Added to database: 08/12/2026, 16:12:35 UTC

Last enriched: 08/12/2026, 17:33:37 UTC

Last updated: 08/13/2026, 02:40:59 UTC

Views: 3

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