CVE-2024-49018
Microsoft Sql Server 2016 13.0.6300.2 – 13.0.6455.2
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2024-49018 is a high-severity Numeric Truncation Error (CWE-197) vulnerability in Microsoft Sql Server 2016. 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 28% 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-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2024-49018 is a remote code execution vulnerability affecting the SQL Server Native Client component. It carries a CVSS 3.1 base score of 8.8 and is associated with CWE-197.
An unauthenticated attacker can exploit the flaw over a network connection when a user interacts with malicious content, resulting in arbitrary code execution with the privileges of the affected process.
The official Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-49018 provides patch information and mitigation guidance for supported SQL Server versions.
The associated EPSS score has remained flat at 0.1 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-43895
Vulnerability Data
SQL Server Native Client 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 truncation errors through static analysis, dynamic testing, or code review.
Documented development standards and tools can mandate use of safe arithmetic libraries or explicit checks against truncation.
Engineering principles can require safe type conversions and avoidance of narrowing casts that cause truncation.
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 prevent truncation errors via reviews, static analysis, and safe type handling.
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 truncation bugs through static analysis and fuzzing.
Secure development lifecycle mandates practices that can catch numeric truncation during design and code review.
Application security requirements can specify safe numeric handling and data-type constraints.
Secure architecture principles include choosing appropriate data types and avoiding unsafe casts.
Secure coding standards directly prohibit unsafe narrowing conversions and truncation.