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CVE-2023-25241

6.1 · MEDIUM
Published Feb 13, 2023 bgerp CWE-79 EPSS 0.51% (41th pctl)

Overview

CVE-2023-25241 is a medium-severity vulnerability affecting bgerp bgerp. It was published on February 13, 2023 and has a CVSS 3.1 base score of 6.1 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.1, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

bgERP v22.31 was discovered to contain a reflected cross-site scripting (XSS) vulnerability via the Search parameter.

Remediation

Check the references section for vendor advisories and patches from bgerp. Update bgerp 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

Frequently Asked Questions

What is CVE-2023-25241?

CVE-2023-25241 is a medium-severity vulnerability affecting bgerp bgerp. It was published on February 13, 2023 and has a CVSS 3.1 base score of 6.1 (MEDIUM).

How severe is CVE-2023-25241?

This vulnerability has a CVSS 3.1 base score of 6.1, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2023-25241?

Check the references section for vendor advisories and patches from bgerp. Update bgerp 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-2023-25241?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-25241 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.