CVE-2021-1444
Nov. 18, 2024, 5:11 p.m.
6.1
Medium
Description
A vulnerability in the web services interface of Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to conduct cross-site scripting (XSS) attacks against a user of the interface.
This vulnerability is due to insufficient validation of user-supplied input by the web services interface of an affected device. An attacker could exploit this vulnerability by persuading a user of the interface to click a crafted link. A successful exploit could allow the attacker to execute arbitrary script code in the context of the interface or allow the attacker to access sensitive, browser-based information.Cisco has released software updates that address this vulnerability. There are no workarounds that address this vulnerability.This advisory is part of the October 2021 release of the Cisco ASA, FTD, and FMC Security Advisory Bundled publication. For a complete list of the advisories and links to them, see .
Product(s) Impacted
| Product | Versions |
|---|---|
| Cisco Adaptive Security Appliance (ASA) Software |
|
| Cisco Firepower Threat Defense (FTD) Software |
|
Weaknesses
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
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
View Vector String
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Date
- Published: Nov. 18, 2024, 4:15 p.m.
- Last Modified: Nov. 18, 2024, 5:11 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.