CVE-2024-26162
Microsoft Windows 10 1507 ≤ 10.0.10240.20526
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2024-26162 is a high-severity Incorrect Conversion between Numeric Types (CWE-681) vulnerability in Microsoft Windows 10 1507. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 21% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-23439
Vulnerability Data
Microsoft ODBC Driver Remote Code Execution Vulnerability
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover incorrect numeric conversions through targeted test cases.
Engineering principles can mandate safe numeric handling and range checks that structurally avoid bad conversions.
Input validation directly stops malformed or out-of-range numeric values from reaching conversion logic.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require code reviews, static analysis, and developer training that catch and prevent numeric type-conversion errors.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing can detect numeric conversion defects before release.
Secure development lifecycle includes type-safety and conversion checks that reduce numeric truncation risks.
Application security requirements can mandate safe numeric handling and range validation.
Secure architecture principles promote strong typing and safe conversion practices.
Secure coding standards directly address correct numeric type conversions and overflow checks.