CVE-2024-38196
Published: 13 August 2024
Summary
CVE-2024-38196 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows Server 2008. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 7.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-38196 is an elevation of privilege vulnerability in the Windows Common Log File System Driver. It carries a CVSS 3.1 base score of 7.8 and is associated with CWE-20. The flaw affects the driver component responsible for handling common log file system operations on supported Windows platforms.
An attacker with low-privileged local access and no user interaction can exploit the issue to obtain full control over confidentiality, integrity, and availability on the affected system. Successful exploitation allows the attacker to elevate privileges from a standard user context to SYSTEM-level access.
Microsoft has published an advisory for CVE-2024-38196 at the Microsoft Security Response Center that addresses remediation steps. The current EPSS score stands at 0.0829 after reaching a peak of 0.1033.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-37164
Vulnerability details
Windows Common Log File System Driver Elevation of Privilege 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.