CVE-2024-20666
Published: 09 January 2024
Summary
CVE-2024-20666 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows 10 1507. Its CVSS base score is 6.6 (Medium).
Operationally, ranked in the top 4.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-20666 is a BitLocker Security Feature Bypass Vulnerability affecting the BitLocker encryption component in Microsoft Windows. It is assigned a CVSS 3.1 score of 6.6 with an attack vector requiring physical access, low attack complexity, and low-privileged access, along with CWE-20 classification for improper input validation.
An attacker with physical access to a device and limited user privileges can exploit the flaw to circumvent BitLocker protections, resulting in high impact to confidentiality, integrity, and availability of protected data and the system.
Microsoft Security Response Center advisories at the referenced URLs describe the issue and direct administrators to available security updates for remediation.
The associated EPSS score has remained flat at a peak of 0.1751 with no material rise observed after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-18381
Vulnerability details
BitLocker Security Feature Bypass 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.