CVE-2024-20533
Nov. 6, 2024, 6:17 p.m.
4.8
Medium
Description
A vulnerability in the web UI of Cisco Desk Phone 9800 Series, Cisco IP Phone 6800, 7800, and 8800 Series, and Cisco Video Phone 8875 with Cisco Multiplatform Firmware could allow an authenticated, remote attacker to conduct stored cross-site scripting (XSS) attacks against users.
This vulnerability exists because the web UI of an affected device does not properly validate user-supplied input. An attacker could exploit this vulnerability by injecting malicious code into specific pages of the interface. A successful exploit could allow the attacker to execute arbitrary script code in the context of the affected interface or access sensitive, browser-based information.
Note: To exploit this vulnerability, Web Access must be enabled on the phone and the attacker must have Admin credentials on the device. Web Access is disabled by default.
Product(s) Impacted
| Product | Versions |
|---|---|
| Cisco Desk Phone 9800 Series |
|
| Cisco Video Phone 8875 |
|
| Cisco IP Phone 6800 Series |
|
| Cisco IP Phone 7800 Series |
|
| Cisco IP Phone 8800 Series |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: HIGH
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N
Timeline
Published: Nov. 6, 2024, 5:15 p.m.
Last Modified: Nov. 6, 2024, 6:17 p.m.
Last Modified: Nov. 6, 2024, 6:17 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
ykramarz@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.