CVE-2025-24073
Published: 08 April 2025
Summary
CVE-2025-24073 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows 10 1507. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 23.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
The vulnerability CVE-2025-24073 is an instance of improper input validation, tracked under CWE-20, that affects the Windows DWM Core Library. It carries a CVSS 3.1 base score of 7.8 and permits local privilege escalation when successfully triggered.
An attacker who already possesses a local authorized account on an affected system can exploit the flaw without user interaction to obtain elevated privileges, resulting in high impact to confidentiality, integrity, and availability on that host.
The Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-24073 supplies the authoritative guidance on available security updates and mitigation steps for this issue.
EPSS scores remain low, with a recorded peak of 0.0127 and a current value of 0.0093, indicating limited observed exploitation interest to date.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10230
Vulnerability details
Improper input validation in Windows DWM Core Library allows an authorized attacker to elevate privileges locally.
- 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.