CVE-2022-45437
6.5 · MEDIUMOverview
CVE-2022-45437 is a medium-severity vulnerability affecting pandorafms pandora_fms. It was published on February 15, 2023 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. 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 Artica PFMS Pandora FMS v765 on all allows Cross-Site Scripting (XSS). A user with edition privileges can create a Payload in the reporting dashboard module. An admin user can observe the Payload without interaction and attacker can get information.
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 |
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Frequently Asked Questions
What is CVE-2022-45437?
CVE-2022-45437 is a medium-severity vulnerability affecting pandorafms pandora_fms. It was published on February 15, 2023 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
How severe is CVE-2022-45437?
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2022-45437?
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-2022-45437?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-45437 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
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