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CVE-2022-4302

7.2 · HIGH
Published Jan 2, 2023 videousermanuals EPSS 17.69% (97th pctl)

Overview

CVE-2022-4302 is a high-severity vulnerability affecting videousermanuals white_label_cms. It was published on January 2, 2023 and has a CVSS 3.1 base score of 7.2 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.2, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

The White Label CMS WordPress plugin before 2.5 unserializes user input provided via the settings, which could allow high-privilege users such as admin to perform PHP Object Injection when a suitable gadget is present.

Remediation

Check the references section for vendor advisories and patches from videousermanuals. Update white_label_cms 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
videousermanuals white_label_cms >= 0, < 2.5 Affected

Frequently Asked Questions

What is CVE-2022-4302?

CVE-2022-4302 is a high-severity vulnerability affecting videousermanuals white_label_cms. It was published on January 2, 2023 and has a CVSS 3.1 base score of 7.2 (HIGH).

How severe is CVE-2022-4302?

This vulnerability has a CVSS 3.1 base score of 7.2, 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-2022-4302?

Check the references section for vendor advisories and patches from videousermanuals. Update white_label_cms 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-2022-4302?

CyberStrike's AI-powered security agents can automatically detect CVE-2022-4302 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.