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CVE-2025-32301

8.5 · HIGH

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in LambertGroup CountDown Pro WP Plugin circular_countdown allows SQL Injection.This issue affects…

Published May 16, 2025CWE-89EPSS 0.34%

Overview

CVE-2025-32301 is a high-severity vulnerability. It was published on May 16, 2025 and has a CVSS 3.1 base score of 8.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.5, 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 LambertGroup CountDown Pro WP Plugin circular_countdown allows SQL Injection.This issue affects CountDown Pro WP Plugin: from n/a through <= 2.7.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. 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.

Frequently asked questions

What is CVE-2025-32301?

CVE-2025-32301 is a high-severity vulnerability. It was published on May 16, 2025 and has a CVSS 3.1 base score of 8.5 (HIGH).

How severe is CVE-2025-32301?

This vulnerability has a CVSS 3.1 base score of 8.5, 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-2025-32301?

Check the references section for vendor advisories, patches, and mitigation guidance. 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-2025-32301?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-32301 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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