CVE-2025-47283

May 19, 2025, 7:15 p.m.

9.9
Critical

Description

Gardener implements the automated management and operation of Kubernetes clusters as a service. A security vulnerability was discovered in Gardener prior to versions 1.116.4, 1.117.5, 1.118.2, and 1.119.0 that could allow a user with administrative privileges for a Gardener project to obtain control over the seed cluster(s) where their shoot clusters are managed. This CVE affects all Gardener installations no matter of the public cloud provider(s) used for the seed clusters/shoot clusters. `gardener/gardener` (`gardenlet`) is the affected component. Versions 1.116.4, 1.117.5, 1.118.2, and 1.119.0 fix the issue.

Product(s) Impacted

Vendor Product Versions
Gardener
  • Gardener
  • <1.116.4, <1.117.5, <1.118.2, <1.119.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a gardener gardener <1.116.4 / / / / / / /
a gardener gardener <1.117.5 / / / / / / /
a gardener gardener <1.118.2 / / / / / / /
a gardener gardener <1.119.0 / / / / / / /

CVSS Score

9.9 / 10

CVSS Data - 3.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

    View Vector String

Timeline

Published: May 19, 2025, 7:15 p.m.
Last Modified: May 19, 2025, 7:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.