CVE-2025-47291

May 21, 2025, 8:24 p.m.

4.6
Medium

Description

containerd is an open-source container runtime. A bug was found in the containerd's CRI implementation where containerd, starting in version 2.0.1 and prior to version 2.0.5, doesn't put usernamespaced containers under the Kubernetes' cgroup hierarchy, therefore some Kubernetes limits are not honored. This may cause a denial of service of the Kubernetes node. This bug has been fixed in containerd 2.0.5+ and 2.1.0+. Users should update to these versions to resolve the issue. As a workaround, disable usernamespaced pods in Kubernetes temporarily.

Product(s) Impacted

Vendor Product Versions
Containerd
  • Containerd
  • 2.0.1-2.0.5, 2.0.5, 2.1.0

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.

*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 containerd containerd 2.0.1-2.0.5 / / / / / / /
a containerd containerd 2.0.5 / / / / / / /
a containerd containerd 2.1.0 / / / / / / /

CVSS Score

4.6 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/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

    View Vector String

Timeline

Published: May 21, 2025, 6:15 p.m.
Last Modified: May 21, 2025, 8:24 p.m.

Status : Awaiting Analysis

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.