CVE-2025-20349

Nov. 14, 2025, 4:42 p.m.

6.3
Medium

Description

A vulnerability in the REST API of Cisco Catalyst Center could allow an authenticated, remote attacker to execute arbitrary commands in a restricted container as the root user. This vulnerability is due to insufficient validation of user-supplied input in REST API request parameters. An attacker could exploit this vulnerability by sending a crafted API request to an affected device. A successful exploit could allow the attacker to inject arbitrary commands that would then be executed in a restricted container with root privileges. To exploit this vulnerability, the attacker must have valid credentials for a user account with at least the role of Observer.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Catalyst Center
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.

*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 cisco catalyst_center / / / / / / / /

CVSS Score

6.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Nov. 13, 2025, 5:15 p.m.
Last Modified: Nov. 14, 2025, 4:42 p.m.

Status : Awaiting Analysis

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

More info

Source

psirt@cisco.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.