CVE-2025-61668

Oct. 2, 2025, 10:15 p.m.

8.7
High

Description

Volto is a ReactJS-based frontend for the Plone Content Management System. Versions 16.34.0 and below, 17.0.0 through 17.22.1, 18.0.0 through 18.27.1, and 19.0.0-alpha.1 through 19.0.0-alpha.5, an anonymous user could cause the NodeJS server part of Volto to quit with an error when visiting a specific URL. This issue is fixed in versions 16.34.1, 17.22.2, 18.27.2 and 19.0.0-alpha.6.

Product(s) Impacted

Vendor Product Versions
Plone
  • Volto
  • <16.34.0, 17.0.0-17.22.1, 18.0.0-18.27.1, 19.0.0-alpha.1-19.0.0-alpha.5

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-476
NULL Pointer Dereference
A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit.

*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 plone volto <16.34.0 / / / / / / /
a plone volto 17.0.0-17.22.1 / / / / / / /
a plone volto 18.0.0-18.27.1 / / / / / / /
a plone volto 19.0.0-alpha.1-19.0.0-alpha.5 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

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

    View Vector String

Timeline

Published: Oct. 2, 2025, 10:15 p.m.
Last Modified: Oct. 2, 2025, 10:15 p.m.

Status : Received

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.