Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2024-38178 is a high-severity Type Confusion (CWE-843) vulnerability in Microsoft Windows 10 1507. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 1% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities 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.
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-2024-38178 is a memory corruption vulnerability in the Scripting Engine, assigned CWE-843. It carries a CVSS 3.1 base score of 7.5 reflecting network attack vector, high attack complexity, no required privileges, and required user interaction, with high impact on confidentiality, integrity, and availability.
An unauthenticated remote attacker can trigger the flaw by serving specially crafted content that a victim must interact with, resulting in arbitrary code execution within the scripting engine's context. The published EPSS score of 0.3023 indicates a moderate likelihood of exploitation in the wild.
Microsoft's advisory at msrc.microsoft.com and CISA's Known Exploited Vulnerabilities catalog both list the issue, confirming active exploitation and directing administrators to apply the vendor-supplied security updates. The unchanged peak and current EPSS values do not show a post-disclosure climb that would indicate rising attacker interest.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-37148
Vulnerability Data
Scripting Engine Memory Corruption Vulnerability
- CWE(s)
- KEV Date Added
- 13 August 2024
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and type-aware analysis) directly finds type-confusion flaws before deployment.
Engineering principles can require use of type-safe languages, static typing, and runtime type checks that structurally avoid allocating one type and accessing another.
Memory-protection controls limit the blast radius when a type-confusion access occurs but do not stop the flaw itself.
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 type-confusion flaws via safe typing, static analysis, and code review while the control itself addresses many additional weaknesses.
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 in development can detect type-confusion vulnerabilities through fuzzing and static analysis.
Secure SDLC mandates type-safe design and review that can catch type-confusion flaws.
Application security requirements can specify strong typing and interface contracts that reduce type confusion.
Secure architecture principles promote type-safe languages and memory-safety mechanisms that mitigate type confusion.
Secure coding standards directly forbid unsafe type casts and require static-analysis checks for type confusion.