CVE-2025-20308

July 3, 2025, 3:13 p.m.

6.0
Medium

Description

A vulnerability in Cisco Spaces Connector could allow an authenticated, local attacker to elevate privileges and execute arbitrary commands on the underlying operating system as root. This vulnerability is due to insufficient restrictions during the execution of specific CLI commands. An attacker could exploit this vulnerability by logging in to the Cisco Spaces Connector CLI as the spacesadmin user and executing a specific command with crafted parameters. A successful exploit could allow the attacker to elevate privileges from the spacesadmin user and execute arbitrary commands on the underlying operating system as root.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Cisco Spaces Connector
  • *

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 cisco_spaces_connector / / / / / / / /

CVSS Score

6.0 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: July 2, 2025, 4:15 p.m.
Last Modified: July 3, 2025, 3:13 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.