CVE-2024-9594
Nov. 8, 2024, 8:50 p.m.
8.1
High
Description
A security issue was discovered in the Kubernetes Image Builder versions <= v0.1.37 where default credentials are enabled during the image build process when using the Nutanix, OVA, QEMU or raw providers. The credentials can be used to gain root access. The credentials are disabled at the conclusion of the image build process. Kubernetes clusters are only affected if their nodes use VM images created via the Image Builder project. Because these images were vulnerable during the image build process, they are affected only if an attacker was able to reach the VM where the image build was happening and used the vulnerability to modify the image at the time the image build was occurring.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Kubernetes |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-798
Use of Hard-coded Credentials
The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data.
*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 | kubernetes | image_builder | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Oct. 15, 2024, 9:15 p.m.
Last Modified: Nov. 8, 2024, 8:50 p.m.
Last Modified: Nov. 8, 2024, 8:50 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
jordan@liggitt.net
*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.