Summary
NVIDIA vGPU software for Windows and Linux contains a GPU kernel driver authorization flaw that may let a guest access privileged host GPU resources without proper permission. Successful exploitation could enable code execution, privilege escalation, data tampering, denial of service, or information disclosure in affected virtualized environments.
Affected context
The vulnerability occurs in deployments using NVIDIA vGPU software where guest workloads interact with GPU resources through the host kernel driver. Risk depends on the driver enforcing authorization boundaries correctly between guest-accessible operations and privileged host GPU resources. Both Windows and Linux host environments may be relevant when using affected vGPU components.
Exploit preconditions
- Attack surface: GPU virtualization interfaces exposed to guest workloads
- Required access: Ability to run or control a workload within a vGPU guest
- Trigger point: Guest interaction with a privileged GPU operation or resource
- Why exploitation is possible: The kernel driver may fail to verify that
the requesting guest is authorized to access the targeted host GPU resource
Why this happens
The underlying bug is an authorization enforcement failure in the GPU kernel driver. A privileged resource is exposed through a guest-accessible interface without a sufficiently effective check that the requesting guest has the necessary permissions. This maps to CWE-862, Missing Authorization, because access control is absent or incorrectly applied to a protected operation.
Potential impact
- An attacker may execute code with elevated privileges
- A guest may access or disclose information from privileged host GPU resources
- Host or guest data could be modified or tampered with
- The vulnerability could enable denial of service affecting GPU workloads
- An attacker could potentially expand access across virtualization boundaries
General mitigation guidance
Mitigation generally focuses on enforcing authorization at every
guest-to-host GPU resource boundary and reducing the privileges available to
virtualized workloads.
Common defensive patterns include:
- Applying vendor-provided security fixes through established maintenance processes
- Enforcing explicit per-guest authorization for privileged GPU operations
- Separating sensitive GPU resources from untrusted or lower-trust tenants
- Running host drivers and management components with least privilege
- Restricting guest capabilities and administrative interfaces to the minimum required
- Using hardware, hypervisor, and tenant-isolation controls as defense in depth
How teams detect issues like this
Organizations can look for this class of issue through:
- Static and dynamic analysis of guest-to-host driver interfaces
- Code review checks for missing or inconsistent authorization gates
- Tests that attempt cross-guest access to protected GPU resources
- Monitoring for unusual GPU resource requests, host-driver errors, or guest
activity preceding privilege changes
- Policy enforcement requiring explicit authorization checks for every privileged
virtualization operation
- Automated security review tools that identify access-control paths lacking
authenticated identity or permission validation
