CVE-2024-56513
Jan. 3, 2025, 5:15 p.m.
8.7
High
Description
Karmada is a Kubernetes management system that allows users to run cloud-native applications across multiple Kubernetes clusters and clouds. Prior to version 1.12.0, the PULL mode clusters registered with the `karmadactl register` command have excessive privileges to access control plane resources. By abusing these permissions, an attacker able to authenticate as the karmada-agent to a karmada cluster would be able to obtain administrative privileges over the entire federation system including all registered member clusters. Since Karmada v1.12.0, command `karmadactl register` restricts the access permissions of pull mode member clusters to control plane resources. This way, an attacker able to authenticate as the karmada-agent cannot control other member clusters in Karmada. As a workaround, one may restrict the access permissions of pull mode member clusters to control plane resources according to Karmada Component Permissions Docs.
Product(s) Impacted
| Product | Versions |
|---|---|
| Karmada |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-266
Incorrect Privilege Assignment
A product incorrectly assigns a privilege to a particular actor, creating an unintended sphere of control for that actor.
Tags
CVSS Score
CVSS Data - 4.0
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Attack Requirements: NONE
- Privileges Required: LOW
- User Interaction: NONE
- Scope:
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
- Exploit Maturity: NOT_DEFINED
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Timeline
Published: Jan. 3, 2025, 5:15 p.m.
Last Modified: Jan. 3, 2025, 5:15 p.m.
Last Modified: Jan. 3, 2025, 5:15 p.m.
Status : Awaiting Analysis
CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.
More infoSource
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.