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CVE-2023-41814

3.7 · LOW
Published Dec 29, 2023 pandorafms CWE-79 EPSS 0.26% (17th pctl)

Overview

CVE-2023-41814 is a low-severity vulnerability affecting pandorafms pandora_fms. It was published on December 29, 2023 and has a CVSS 3.1 base score of 3.7 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Pandora FMS on all allows Cross-Site Scripting (XSS). Through an HTML payload (iframe tag) it is possible to carry out XSS attacks when the user receiving the messages opens their notifications. This issue affects Pandora FMS: from 700 through 774.

Remediation

Check the references section for vendor advisories and patches from pandorafms. Update pandora_fms to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
pandorafms pandora_fms 700 Affected

Frequently Asked Questions

What is CVE-2023-41814?

CVE-2023-41814 is a low-severity vulnerability affecting pandorafms pandora_fms. It was published on December 29, 2023 and has a CVSS 3.1 base score of 3.7 (LOW).

How severe is CVE-2023-41814?

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2023-41814?

Check the references section for vendor advisories and patches from pandorafms. Update pandora_fms to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2023-41814?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-41814 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.