CVE-2024-52937

6.7 MEDIUM

📋 TL;DR

This vulnerability allows kernel software running inside a Guest Virtual Machine to write data outside its allocated GPU memory boundaries by exploiting shared memory with GPU firmware. This affects virtualization environments using Imagination Technologies GPU hardware with vulnerable firmware. Attackers could potentially escape VM isolation or corrupt GPU operations.

💻 Affected Systems

Products:
  • Imagination Technologies GPU hardware with vulnerable firmware
Versions: Specific firmware versions not detailed in reference; check vendor advisory for exact versions
Operating Systems: Any OS using Imagination GPU virtualization (Linux, Windows, etc.)
Default Config Vulnerable: ⚠️ Yes
Notes: Requires virtualization environment with GPU passthrough or shared GPU resources; bare metal systems not affected.

⚠️ 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

VM escape leading to host system compromise, data exfiltration, or denial of service affecting multiple VMs sharing the same GPU hardware.

🟠

Likely Case

GPU memory corruption causing application crashes, graphical artifacts, or limited data leakage within the virtualization environment.

🟢

If Mitigated

Isolated GPU operations with no cross-VM impact, limited to graphical anomalies in the affected VM only.

🌐 Internet-Facing: LOW - Requires local VM access and specific GPU hardware configuration.
🏢 Internal Only: MEDIUM - Internal virtualization environments with shared GPU resources could be affected if an attacker gains VM access.

🎯 Exploit Status

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

Requires kernel-level access within a Guest VM and specific knowledge of GPU memory layout; not trivial to exploit.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Check Imagination Technologies GPU firmware updates

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

Restart Required: Yes

Instructions:

1. Check Imagination Technologies advisory for affected firmware versions. 2. Update GPU firmware through vendor-provided patches. 3. Update hypervisor GPU drivers if applicable. 4. Reboot affected systems to apply firmware updates.

🔧 Temporary Workarounds

Disable GPU passthrough

all

Prevent Guest VMs from accessing GPU hardware directly

Check hypervisor documentation for disabling GPU passthrough (e.g., remove GPU from VM configuration)

Isolate GPU resources

all

Assign dedicated GPU hardware to specific VMs to prevent cross-VM exploitation

Configure hypervisor to use GPU partitioning or SR-IOV with strict isolation

🧯 If You Can't Patch

  • Implement strict VM isolation policies and monitor for unusual GPU memory access patterns
  • Restrict kernel-level access within Guest VMs to trusted users only

🔍 How to Verify

Check if Vulnerable:

Check GPU firmware version against Imagination Technologies advisory; verify if virtualization environment uses Imagination GPU hardware with shared memory features enabled.

Check Version:

lspci -v | grep -i imagination (Linux) or check GPU firmware through vendor tools

Verify Fix Applied:

Confirm GPU firmware has been updated to patched version; test VM isolation by attempting controlled memory writes across GPU boundaries (in test environment only).

📡 Detection & Monitoring

Log Indicators:

  • Unusual GPU memory access patterns in hypervisor logs
  • GPU firmware error messages indicating memory boundary violations
  • VM kernel logs showing unexpected GPU operations

Network Indicators:

  • Not network exploitable; no network indicators

SIEM Query:

Search for GPU firmware errors or hypervisor alerts related to memory access violations across VM boundaries

🔗 References

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