CVE-2024-52938

7.8 HIGH

📋 TL;DR

This vulnerability allows kernel software running inside a Guest Virtual Machine to issue improper commands to the GPU Firmware, potentially bypassing memory isolation and writing data outside the Guest's allocated GPU memory. This affects systems using Imagination Technologies GPU hardware with vulnerable firmware/drivers in virtualized environments.

💻 Affected Systems

Products:
  • Imagination Technologies GPU hardware with vulnerable firmware/drivers
Versions: Specific vulnerable versions not publicly detailed in reference
Operating Systems: Any OS using affected Imagination GPU drivers in virtualized environments
Default Config Vulnerable: ⚠️ Yes
Notes: Requires virtualized environment with GPU passthrough or virtualization, and vulnerable GPU firmware/driver combination.

⚠️ Manual Verification Required

This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.

Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).

🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.

Recommended Actions:
  1. Review the CVE details at NVD
  2. Check vendor security advisories for your specific version
  3. Test if the vulnerability is exploitable in your environment
  4. Consider updating to the latest version as a precaution

⚠️ Risk & Real-World Impact

🔴

Worst Case

Guest VM escape leading to host system compromise, data corruption, or denial of service through GPU firmware manipulation.

🟠

Likely Case

Guest VM memory corruption, potential information disclosure, or GPU functionality disruption within the virtualized environment.

🟢

If Mitigated

Contained within Guest VM with minimal impact if proper memory isolation and GPU virtualization controls are enforced.

🌐 Internet-Facing: LOW - Requires local access to Guest VM and specific GPU hardware/firmware configuration.
🏢 Internal Only: MEDIUM - Internal virtualized environments with vulnerable GPU configurations could be targeted by compromised Guest VMs.

🎯 Exploit Status

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

Requires kernel-level access within Guest VM and knowledge of GPU firmware commands. Virtualization layer bypass adds complexity.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Check Imagination Technologies GPU driver/firmware updates

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

Restart Required: No

Instructions:

1. Check Imagination Technologies advisory for specific affected products. 2. Update GPU firmware and drivers to patched versions. 3. Update hypervisor GPU virtualization components if applicable.

🔧 Temporary Workarounds

Disable GPU passthrough/virtualization

all

Prevent Guest VMs from accessing GPU hardware directly

Hypervisor-specific: Disable GPU passthrough in VM configuration

Restrict kernel module loading

linux

Prevent loading of vulnerable GPU kernel modules in Guest VMs

echo 'install gpu_module /bin/false' >> /etc/modprobe.d/disable-gpu.conf

🧯 If You Can't Patch

  • Isolate vulnerable Guest VMs from critical systems and networks
  • Implement strict access controls and monitoring for Guest VMs with GPU access

🔍 How to Verify

Check if Vulnerable:

Check GPU driver/firmware version against Imagination Technologies advisory. Review hypervisor GPU configuration for passthrough/virtualization.

Check Version:

lspci -v | grep -i imagination (Linux) or GPU vendor-specific diagnostic tools

Verify Fix Applied:

Verify GPU driver/firmware updated to patched version. Confirm no unauthorized memory writes in GPU logs.

📡 Detection & Monitoring

Log Indicators:

  • GPU firmware error logs indicating invalid commands
  • Hypervisor logs showing unusual GPU memory access patterns
  • Kernel logs with GPU driver exceptions

Network Indicators:

  • Unusual outbound traffic from Guest VMs with GPU access

SIEM Query:

source="gpu_logs" AND ("invalid command" OR "memory violation") OR source="hypervisor" AND "gpu_passthrough" AND "anomalous"

🔗 References

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