CVE-2026-18608
HIGH
8,7
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: high
User Interaction: none
Scope: changed
Confidentiality: high
Integrity: high
Availability: none
Description
AI Translation Available
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
EPSS (Exploit Prediction Scoring System)
Trend Analysis
EPSS (Exploit Prediction Scoring System)
Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.
EPSS Score
0,0042
Percentile
0,3th
Updated
Single Data Point
Only one EPSS measurement is available for this CVE. Trend analysis requires multiple data points over time.
250
Execution with Unnecessary Privileges
DraftCommon Consequences
Security Scopes Affected:
Confidentiality
Integrity
Availability
Access Control
Potential Impacts:
Gain Privileges Or Assume Identity
Execute Unauthorized Code Or Commands
Read Application Data
Dos: Crash, Exit, Or Restart
Applicable Platforms
Technologies:
AI/ML, Mobile
https://access.redhat.com/errata/RHSA-2026:53261
https://access.redhat.com/errata/RHSA-2026:53262
https://access.redhat.com/errata/RHSA-2026:53263
https://access.redhat.com/security/cve/CVE-2026-18608
https://bugzilla.redhat.com/show_bug.cgi?id=2510296