zabbix frontend CVE-2022-24349 vulnerability in Zabbix and Other Products
Published on March 9, 2022

Reflected XSS in action configuration window of Zabbix Frontend

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An authenticated user can create a link with reflected XSS payload for actions pages, and send it to other users. Malicious code has access to all the same objects as the rest of the web page and can make arbitrary modifications to the contents of the page being displayed to a victim. This attack can be implemented with the help of social engineering and expiration of a number of factors - an attacker should have authorized access to the Zabbix Frontend and allowed network connection between a malicious server and victims computer, understand attacked infrastructure, be recognized by the victim as a trustee and use trusted communication channel.

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Vulnerability Analysis

CVE-2022-24349 can be exploited with network access, requires user interaction and a small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to be low. considered to have a small impact on confidentiality and integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
LOW
User Interaction:
REQUIRED
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
LOW
Availability Impact:
LOW

Weakness Type

What is a XSS Vulnerability?

The software 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.

CVE-2022-24349 has been classified to as a XSS vulnerability or weakness.


Products Associated with CVE-2022-24349

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2022-24349 are published in these products:

Zabbix Frontend
 
Debian Linux
 
Fedora Project Fedora
 

Affected Versions

Zabbix Frontend:

Exploit Probability

EPSS
0.26%
Percentile
49.32%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.