CVE-2026-41184

May 28, 2026, 6:55 p.m.

6.0
Medium

Description

In Calico, the install-cni init container logs the rendered CNI configuration to standard output. When the configuration template uses the __SERVICEACCOUNT_TOKEN__ placeholder (Canal/Flannel-Calico deployments), the installer substitutes the live Kubernetes ServiceAccount bearer token before logging, exposing the token to any authenticated user with pods/log permission in the namespace with calico-node. The token holds patch privileges on pods/status, enabling annotation-based attacks against cluster workloads. The default kubeconfig-based authentication path is not affected. This is a direct regression of TTA-2018-001.

Product(s) Impacted

Vendor Product Versions
Calico
  • Calico
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-532
Insertion of Sensitive Information into Log File
Information written to log files can be of a sensitive nature and give valuable guidance to an attacker or expose sensitive user information.

*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 calico calico / / / / / / / /

CVSS Score

6.0 / 10

CVSS Data - 4.0

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

    View Vector String

Timeline

Published: May 28, 2026, 5:16 p.m.
Last Modified: May 28, 2026, 6:55 p.m.

Status : Undergoing Analysis

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

More info

*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.