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CVE-2023-44091

7.5 · HIGH
Published Mar 19, 2024 artica CWE-89 EPSS 0.45% (38th pctl)

Overview

CVE-2023-44091 is a high-severity vulnerability affecting artica pandora_fms. It was published on March 19, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Pandora FMS on all allows SQL Injection. This ulnerability allowed SQL injections to be made even if authentication failed.This issue affects Pandora FMS: from 700 through <776.

Remediation

Check the references section for vendor advisories and patches from artica. 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
artica pandora_fms >= 700, < 776 Affected

Frequently Asked Questions

What is CVE-2023-44091?

CVE-2023-44091 is a high-severity vulnerability affecting artica pandora_fms. It was published on March 19, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2023-44091?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2023-44091?

Check the references section for vendor advisories and patches from artica. 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-2023-44091?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-44091 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.