CVE-2024-26197
Published: 12 March 2024
Summary
CVE-2024-26197 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows Server 2012. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 9.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-26197 is a denial-of-service vulnerability in the Windows Standards-Based Storage Management Service. It carries a CVSS 3.1 base score of 6.5 and is associated with CWE-20 improper input validation. The flaw allows an attacker to disrupt service availability without affecting confidentiality or integrity.
An authenticated remote attacker with low privileges can send crafted requests over the network to trigger the condition, resulting in high impact to availability while requiring no user interaction.
Microsoft has published guidance for the issue at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-26197. The current EPSS score of 0.0553 shows no material increase from its recorded peak of 0.0567, indicating limited observed exploitation interest since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-23473
Vulnerability details
Windows Standards-Based Storage Management Service Denial of Service 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.