CVE-2022-30163 Overview
CVE-2022-30163 is a remote code execution vulnerability in Microsoft Windows Hyper-V. The flaw allows an authenticated user on a Hyper-V guest virtual machine to execute arbitrary code on the host operating system. The vulnerability stems from a race condition [CWE-362] in the hypervisor, which crosses the security boundary between guest and host. A successful exploit results in a scope change, breaking VM isolation and compromising the underlying hypervisor.
Microsoft addressed the issue in the June 2022 Patch Tuesday release. The vulnerability affects all supported Windows desktop and server editions running the Hyper-V role.
Critical Impact
A successful exploit enables guest-to-host escape, breaking virtualization isolation and allowing code execution on the Hyper-V host with hypervisor privileges.
Affected Products
- Microsoft Windows 10 (multiple versions including 1607, 1809, 20H2, 21H1, 21H2)
- Microsoft Windows 11, Windows 8.1, and Windows 7 SP1
- Microsoft Windows Server 2008 R2 SP1, 2012, 2012 R2, 2016, 2019, and 2022 (including Azure edition)
Discovery Timeline
- 2022-06-15 - CVE-2022-30163 published to the National Vulnerability Database
- 2022-06-15 - Microsoft released security patch via Patch Tuesday
- 2025-01-02 - Last updated in NVD database
Technical Details for CVE-2022-30163
Vulnerability Analysis
The vulnerability resides in the Windows Hyper-V hypervisor and is classified as a race condition [CWE-362]. Hyper-V provides hardware virtualization that isolates guest virtual machines from the host through a strict trust boundary. CVE-2022-30163 allows an attacker operating inside a guest VM to violate this boundary and execute code on the host.
The attack requires low privileges on the guest and no user interaction on the host. The scope change (S:C) reflects the cross-boundary nature of the exploit, where compromise of one component (the guest) leads to compromise of another security authority (the host hypervisor). Attack complexity is high because the attacker must reliably win a timing race against the hypervisor's internal state machine.
Root Cause
The root cause is a concurrency flaw in how Hyper-V handles shared resources or state transitions between the guest and host. Race conditions in hypervisors typically occur when two threads access shared memory or device state without proper synchronization. An attacker on the guest can manipulate inputs in a precise time window to corrupt host-side state and trigger code execution. Microsoft has not released detailed technical disclosure of the affected code path.
Attack Vector
Exploitation occurs over the virtualization interface between guest and host. The attacker requires authenticated access to a guest VM with the ability to issue hypercalls or interact with virtualized devices. By repeatedly invoking the vulnerable code path under controlled timing conditions, the attacker triggers the race and achieves code execution on the host. No network-facing service on the host is directly exposed, but the CVSS network attack vector reflects that the guest can be remote from the attacker's physical location.
Public proof-of-concept code is not available for this vulnerability, and detailed technical references have not been published by Microsoft. See the Microsoft Security Advisory CVE-2022-30163 for vendor guidance.
Detection Methods for CVE-2022-30163
Indicators of Compromise
- Unexpected process creation or service crashes on Hyper-V hosts originating from vmwp.exe (Virtual Machine Worker Process) or vmcompute.exe.
- Anomalous kernel-mode crashes or bug checks on the host correlated with activity inside a guest VM.
- Unusual hypercall patterns or repeated guest-initiated operations targeting virtualized devices in short time windows.
Detection Strategies
- Monitor Windows Event Logs for Hyper-V-Worker, Hyper-V-Hypervisor, and Hyper-V-VMMS channels for unexpected errors or warnings.
- Establish a baseline of normal hypercall and VM-management activity, then alert on deviations such as bursts of failed operations from a single guest.
- Correlate guest-side process activity with host-side anomalies through endpoint detection telemetry on both the guest and host.
Monitoring Recommendations
- Track patch state of all Hyper-V hosts and ensure the June 2022 security update is installed across all supported Windows versions.
- Audit which tenants and users have administrative access to guest VMs and enforce least privilege.
- Forward Hyper-V operational logs to a centralized log analytics or SIEM platform for long-term retention and correlation.
How to Mitigate CVE-2022-30163
Immediate Actions Required
- Apply the June 2022 Microsoft security updates to all Windows hosts running the Hyper-V role.
- Inventory Hyper-V deployments across desktop, server, and Azure-hosted Windows Server 2022 systems and confirm patch coverage.
- Restrict guest VM access to trusted users only until patching is complete, particularly in multi-tenant environments.
Patch Information
Microsoft released a security patch on June 14, 2022 as part of the June Patch Tuesday cycle. Patch availability and KB article references for each affected Windows version are listed in the Microsoft Vulnerability CVE-2022-30163 update guide. Administrators should deploy the corresponding cumulative update for each supported Windows version including Windows 10, Windows 11, and Windows Server 2008 R2 through 2022.
Workarounds
- No vendor-supplied workaround is documented. Patching is the only supported remediation.
- Where immediate patching is not feasible, limit guest VM administrative privileges and isolate untrusted workloads on dedicated, non-shared Hyper-V hosts.
- Disable the Hyper-V role on systems where it is not required to eliminate exposure entirely.
# Verify Hyper-V patch status on Windows Server
Get-HotFix | Where-Object { $_.InstalledOn -ge '2022-06-14' }
# List installed Hyper-V role and version
Get-WindowsFeature -Name Hyper-V
# Disable Hyper-V role if not required
Disable-WindowsOptionalFeature -Online -FeatureName Microsoft-Hyper-V-All
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

