CVE-2025-0467

8.2 HIGH

📋 TL;DR

This vulnerability allows kernel software within a Guest Virtual Machine to exploit shared memory with GPU firmware to write data outside the Guest's allocated GPU memory boundaries. This affects systems using Imagination Technologies GPU drivers with vulnerable firmware versions. The vulnerability enables potential privilege escalation and system compromise.

💻 Affected Systems

Products:
  • Imagination Technologies GPU drivers and firmware
Versions: Specific vulnerable versions not publicly detailed in reference; check vendor advisory for exact ranges.
Operating Systems: Linux, Windows, and other OSes using Imagination GPU drivers in virtualized environments
Default Config Vulnerable: ⚠️ Yes
Notes: Affects systems with Imagination GPU hardware acceleration enabled in virtualized environments. Cloud providers and virtualization platforms using these GPUs are particularly at risk.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete host system compromise through privilege escalation, allowing attackers to escape the VM sandbox and gain control over the hypervisor and other VMs.

🟠

Likely Case

Guest VM compromise leading to data exfiltration, lateral movement within the virtual environment, or denial of service attacks.

🟢

If Mitigated

Limited impact within the Guest VM if proper isolation controls are enforced, though memory corruption could still cause instability.

🌐 Internet-Facing: LOW - This vulnerability requires access to the Guest VM kernel, typically not directly internet-facing.
🏢 Internal Only: HIGH - Internal attackers with Guest VM access could exploit this to compromise the virtualization infrastructure.

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ✅ No
Complexity: MEDIUM

Exploitation requires kernel-level access within the Guest VM and knowledge of GPU memory structures. No public exploit code is currently available.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Check Imagination Technologies advisory for specific patched versions

Vendor Advisory: https://www.imaginationtech.com/gpu-driver-vulnerabilities/

Restart Required: Yes

Instructions:

1. Review Imagination Technologies advisory for affected versions. 2. Update GPU firmware and drivers to patched versions. 3. Update hypervisor GPU passthrough configurations if applicable. 4. Reboot affected systems to apply changes.

🔧 Temporary Workarounds

Disable GPU passthrough

all

Prevents Guest VMs from accessing GPU hardware directly, eliminating the attack vector.

# For libvirt/KVM: virsh edit <vm_name> then remove <hostdev> GPU passthrough sections
# For VMware: Disable GPU passthrough in VM settings

Isolate GPU resources

all

Configure strict GPU resource isolation to prevent cross-VM memory access.

# Configure hypervisor-specific GPU isolation settings
# Example for Xen: xl pci-assignable-list and strict assignment policies

🧯 If You Can't Patch

  • Implement strict network segmentation to isolate vulnerable VMs from critical infrastructure.
  • Monitor for unusual GPU memory access patterns and kernel-level activity within Guest VMs.

🔍 How to Verify

Check if Vulnerable:

Check GPU driver and firmware versions against Imagination Technologies advisory. Review hypervisor logs for GPU memory access errors.

Check Version:

# Linux: lspci -v | grep -i imagination, # Windows: Device Manager > Display adapters > Properties > Driver version

Verify Fix Applied:

Confirm GPU firmware and driver versions match patched releases from vendor. Test GPU functionality in Guest VMs to ensure proper isolation.

📡 Detection & Monitoring

Log Indicators:

  • GPU firmware error logs indicating memory boundary violations
  • Hypervisor logs showing unusual GPU memory access patterns from Guest VMs
  • Kernel logs with memory corruption warnings related to GPU operations

Network Indicators:

  • Unusual outbound traffic from Guest VMs following GPU-related errors
  • Increased network activity between VMs sharing GPU resources

SIEM Query:

source="hypervisor_logs" AND ("GPU memory" OR "firmware error") AND "boundary violation"

🔗 References

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