CVE-2024-38200
Published: 12 August 2024
Summary
CVE-2024-38200 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 1.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Microsoft Office is affected by a spoofing vulnerability, CVE-2024-38200, that was published on 2024-08-12. The flaw is assigned a CVSS 3.1 score of 6.5 with the vector AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N and is associated with CWE-200, indicating an information-exposure issue that can be triggered across the network without authentication.
An unauthenticated remote attacker can exploit the vulnerability by supplying a specially crafted document or link that a user must open or interact with in Microsoft Office. Successful exploitation allows the attacker to spoof content and obtain high-impact access to confidential information while leaving integrity and availability unaffected.
The official Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-38200 describes available patches and mitigation guidance. The EPSS score is currently 0.5983, matching its recorded peak and showing no material upward movement after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-37168
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.