CVE-2024-43609
Published: 08 October 2024
Summary
CVE-2024-43609 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Microsoft Office. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 6.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Microsoft Office contains a spoofing vulnerability tracked as CVE-2024-43609. The flaw carries a CVSS 3.1 score of 6.5 with a network attack vector, low complexity, no required privileges, and required user interaction, resulting in high confidentiality impact while leaving integrity and availability unaffected. It is also associated with CWE-200.
An unauthenticated remote attacker can leverage the issue by supplying specially crafted content that a user must interact with, enabling the attacker to obtain sensitive information from the affected Office installation.
The official Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-43609 provides patch and mitigation guidance for the affected products. The associated EPSS score has remained flat at 0.1055 with no material rise observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-40358
Vulnerability details
Microsoft Office Spoofing Vulnerability
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.