CVE-2025-46708

4.3 MEDIUM

📋 TL;DR

This vulnerability allows software running inside a guest virtual machine to make improper GPU system calls that can block other guest VMs from accessing GPU resources. It affects virtualization environments using Imagination Technologies GPU drivers where multiple VMs share GPU hardware. This is a denial-of-service vulnerability that impacts cloud providers and organizations using GPU virtualization.

💻 Affected Systems

Products:
  • Imagination Technologies GPU drivers
Versions: Specific versions not specified in reference
Operating Systems: Linux, Windows, Other OS with Imagination GPU virtualization
Default Config Vulnerable: ⚠️ Yes
Notes: Requires GPU virtualization/passthrough configuration with multiple guest VMs sharing GPU resources.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

A malicious guest VM could completely block GPU access for all other guest VMs, causing GPU-dependent workloads to fail across the virtualization host.

🟠

Likely Case

Performance degradation or temporary unavailability of GPU resources for other guest VMs sharing the same physical GPU hardware.

🟢

If Mitigated

Minimal impact with proper isolation controls and monitoring in place to detect and block malicious GPU calls.

🌐 Internet-Facing: LOW
🏢 Internal Only: MEDIUM

🎯 Exploit Status

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

Exploitation requires code execution within a guest VM and knowledge of GPU system calls.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Not specified in reference

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

Restart Required: Yes

Instructions:

1. Check Imagination Technologies advisory for specific patch versions. 2. Update GPU drivers on virtualization hosts. 3. Restart affected systems. 4. Update guest VM drivers if applicable.

🔧 Temporary Workarounds

Isolate GPU resources

all

Assign dedicated GPU resources to each guest VM to prevent cross-VM interference

Monitor GPU system calls

linux

Implement monitoring for abnormal GPU system call patterns from guest VMs

🧯 If You Can't Patch

  • Implement strict access controls to prevent untrusted code from running in guest VMs
  • Monitor GPU resource utilization and isolate VMs showing abnormal GPU call patterns

🔍 How to Verify

Check if Vulnerable:

Check GPU driver version against Imagination Technologies advisory and verify if GPU virtualization is enabled with multiple guest VMs.

Check Version:

lspci -v | grep -i imagination (Linux) or check GPU driver properties in Device Manager (Windows)

Verify Fix Applied:

Verify GPU driver version has been updated to patched version and test GPU resource sharing between guest VMs.

📡 Detection & Monitoring

Log Indicators:

  • Abnormal GPU system call patterns
  • GPU resource allocation failures
  • Guest VM GPU timeouts

SIEM Query:

source="hypervisor_logs" AND ("GPU allocation failed" OR "GPU timeout" OR "GPU system call error")

🔗 References

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