CVE-2025-20188

May 7, 2025, 6:15 p.m.

10.0
Critical

Description

A vulnerability in the Out-of-Band Access Point (AP) Image Download feature of Cisco IOS XE Software for Wireless LAN Controllers (WLCs) could allow an unauthenticated, remote attacker to upload arbitrary files to an affected system. This vulnerability is due to the presence of a hard-coded JSON Web Token (JWT) on an affected system. An attacker could exploit this vulnerability by sending crafted HTTPS requests to the AP image download interface. A successful exploit could allow the attacker to upload files, perform path traversal, and execute arbitrary commands with root privileges. Note: For exploitation to be successful, the Out-of-Band AP Image Download feature must be enabled on the device. It is not enabled by default.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Ios Xe
  • Wlc
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-798
Use of Hard-coded Credentials
The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data.

*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 ios_xe / / / / / / / /
h cisco wlc / / / / / / / /

CVSS Score

10.0 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 7, 2025, 6:15 p.m.
Last Modified: May 7, 2025, 6:15 p.m.

Status : Received

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.