CVE-2026-32613

April 21, 2026, 4:20 p.m.

9.9
Critical

Description

Spinnaker is an open source, multi-cloud continuous delivery platform. Echo like some other services, uses SPeL (Spring Expression Language) to process information - specifically around expected artifacts. In versions prior to 2026.1.0, 2026.0.1, 2025.4.2, and 2025.3.2, unlike orca, it was NOT restricting that context to a set of trusted classes, but allowing FULL JVM access. This enabled a user to use arbitrary java classes which allow deep access to the system. This enabled the ability to invoke commands, access files, etc. Versions 2026.1.0, 2026.0.1, 2025.4.2, and 2025.3.2 contain a patch. As a workaround, disable echo entirely.

Product(s) Impacted

Vendor Product Versions
Spinnaker
  • Spinnaker
  • <2026.1.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-94
Improper Control of Generation of Code ('Code Injection')
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

*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 spinnaker spinnaker <2026.1.0 2026.0.1 2025.4.2 2025.3.2 / / / /

CVSS Score

9.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

    View Vector String

Timeline

Published: April 20, 2026, 9:16 p.m.
Last Modified: April 21, 2026, 4:20 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.