CVE-2026-42296

May 9, 2026, 4:16 a.m.

8.1
High

Description

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Prior to versions 3.7.14 and 4.0.5, a user with create Workflow permission can bypass templateReferencing: Strict to get host network access, switch service accounts, override pod security context, add tolerations to schedule on control-plane nodes, or enable SA token mounting. This defeats the stated purpose of the feature. The practical impact depends on what Kubernetes-level controls are in place. Clusters with PodSecurity admission or OPA/Gatekeeper would independently block some of these (like hostNetwork). Clusters that rely on Argo's Strict mode as the primary enforcement layer are fully exposed. This issue has been patched in versions 3.7.14 and 4.0.5.

Product(s) Impacted

Vendor Product Versions
Argo
  • Workflows
  • <3.7.14, <4.0.5

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

*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 argo workflows <3.7.14 / / / / / / /
a argo workflows <4.0.5 / / / / / / /

CVSS Score

8.1 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

    View Vector String

Timeline

Published: May 9, 2026, 4:16 a.m.
Last Modified: May 9, 2026, 4:16 a.m.

Status : Received

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.