CVE-2024-30081
Published: 09 July 2024
Summary
CVE-2024-30081 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Microsoft Windows Server 2008. Its CVSS base score is 7.1 (High).
Operationally, ranked in the top 9.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-30081 is a Windows NTLM spoofing vulnerability affecting the NTLM authentication component in Windows. It carries a CVSS 3.1 base score of 7.1 and is also associated with CWE-200.
An attacker with local access and no privileges can exploit the flaw when a user performs specific actions, enabling spoofing that results in high impact to confidentiality and integrity while availability remains unaffected.
Microsoft's advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-30081 addresses mitigation through available updates. The EPSS score rose from a low baseline to a peak of 0.2183 on 2025-12-11 before receding to the current value of 0.0591, indicating a period of increased exploitation interest following disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-28018
Vulnerability details
Windows NTLM 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.