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CVE-2024-23500

7.7 · HIGH
Published Mar 28, 2024 kadencewp CWE-918 EPSS 0.51% (41th pctl)

Overview

CVE-2024-23500 is a high-severity vulnerability affecting kadencewp gutenberg_blocks_with_ai. It was published on March 28, 2024 and has a CVSS 3.1 base score of 7.7 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.7, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Server-Side Request Forgery (SSRF) vulnerability in StellarWP Gutenberg Blocks by Kadence Blocks kadence-blocks.This issue affects Gutenberg Blocks by Kadence Blocks: from n/a through <= 3.2.19.

Remediation

Check the references section for vendor advisories and patches from kadencewp. Update gutenberg_blocks_with_ai 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
kadencewp gutenberg_blocks_with_ai >= 0, < 3.2.20 Affected

Frequently Asked Questions

What is CVE-2024-23500?

CVE-2024-23500 is a high-severity vulnerability affecting kadencewp gutenberg_blocks_with_ai. It was published on March 28, 2024 and has a CVSS 3.1 base score of 7.7 (HIGH).

How severe is CVE-2024-23500?

This vulnerability has a CVSS 3.1 base score of 7.7, 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-2024-23500?

Check the references section for vendor advisories and patches from kadencewp. Update gutenberg_blocks_with_ai 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-2024-23500?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-23500 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.