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CVE-2026-42912 Microsoft CVE debrief

CVE-2026-42912 is a HIGH severity vulnerability in Windows Telephony Service. It is caused by a race condition, which is a type of concurrency issue that occurs when multiple processes or threads try to access a shared resource without proper synchronization. This vulnerability allows an authorized attacker to elevate privileges locally. The vulnerability has a CVSS score of 7 and a CVSS severity of HIGH.

Vendor
Microsoft
Product
Windows 10 Version 1607
CVSS
HIGH 7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-09
Original CVE updated
2026-06-11
Advisory published
2026-06-09
Advisory updated
2026-06-11

Who should care

Administrators and users of Windows systems should be aware of this vulnerability and take necessary precautions to mitigate it.

Technical summary

The vulnerability is caused by a race condition in the Windows Telephony Service. This allows an authorized attacker to elevate privileges locally. The vulnerability has been assigned a CVSS score of 7 and a CVSS severity of HIGH.

Defensive priority

HIGH

Recommended defensive actions

  • Apply the patch from Microsoft as soon as possible.
  • Use secure coding practices to prevent similar vulnerabilities in the future.
  • Monitor systems for suspicious activity.

Evidence notes

The vulnerability is documented in the CVE record [cve-org]. The NVD provides additional details about the vulnerability [nvd]. Microsoft has also provided a vendor advisory [ref-4].

Sources and references

Verified primary and authoritative sources

  • CVE-2026-42912 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-42912

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-42912 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-42912

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.