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CVE-2024-43106

7.1 · HIGH

A library injection vulnerability exists in Microsoft Excel 16.83 for macOS.

Published Dec 18, 2024CWE-347EPSS 0.74%

Overview

CVE-2024-43106 is a high-severity vulnerability. It was published on December 18, 2024 and has a CVSS 3.1 base score of 7.1 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.1, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical description

A library injection vulnerability exists in Microsoft Excel 16.83 for macOS. A specially crafted library can leverage Excel's access privileges, leading to a permission bypass. A malicious application could inject a library and start the program to trigger this vulnerability and then make use of the vulnerable application's permissions.

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-2024-43106?

CVE-2024-43106 is a high-severity vulnerability. It was published on December 18, 2024 and has a CVSS 3.1 base score of 7.1 (HIGH).

How severe is CVE-2024-43106?

This vulnerability has a CVSS 3.1 base score of 7.1, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-43106?

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-2024-43106?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2024-43106 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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