CVE-2025-23284
📋 TL;DR
This vulnerability in NVIDIA vGPU software allows a malicious guest virtual machine to trigger a stack buffer overflow in the Virtual GPU Manager. Successful exploitation could lead to code execution, denial of service, information disclosure, or data tampering. Organizations using NVIDIA vGPU technology in virtualized environments are affected.
💻 Affected Systems
- NVIDIA vGPU software
⚠️ 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.
- Review the CVE details at NVD
- Check vendor security advisories for your specific version
- Test if the vulnerability is exploitable in your environment
- Consider updating to the latest version as a precaution
⚠️ Risk & Real-World Impact
Worst Case
Full compromise of the host system through remote code execution, allowing attacker to access all guest VMs, steal data, or deploy ransomware.
Likely Case
Denial of service affecting vGPU functionality and potentially crashing the hypervisor, disrupting multiple virtual machines.
If Mitigated
Isolated impact limited to the affected guest VM if proper segmentation and least privilege controls are implemented.
🎯 Exploit Status
Exploitation requires guest VM access and knowledge of the vulnerability. No public exploits are currently available.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Refer to NVIDIA security bulletin for specific patched versions
Vendor Advisory: https://nvidia.custhelp.com/app/answers/detail/a_id/5670
Restart Required: Yes
Instructions:
1. Review NVIDIA security bulletin for affected versions. 2. Download and install the updated vGPU software from NVIDIA. 3. Restart the hypervisor host system. 4. Verify guest VMs are functioning correctly.
🔧 Temporary Workarounds
Isolate vGPU-enabled VMs
allSegment vGPU-enabled virtual machines onto separate hosts from critical infrastructure
Restrict vGPU access
allLimit vGPU assignments to trusted guest VMs only and implement strict access controls
🧯 If You Can't Patch
- Implement network segmentation to isolate vGPU hosts from critical systems
- Enhance monitoring of vGPU host systems for unusual activity or crashes
🔍 How to Verify
Check if Vulnerable:
Check NVIDIA vGPU software version against the security bulletin. Run: nvidia-smi -q | grep 'Driver Version'Check Version:
nvidia-smi -q | grep 'Driver Version'Verify Fix Applied:
Verify installed vGPU software version matches or exceeds the patched version listed in the NVIDIA advisory📡 Detection & Monitoring
Log Indicators:
- Hypervisor crashes or instability
- vGPU service failures
- Unexpected guest VM behavior with vGPU access
Network Indicators:
- Unusual network traffic from vGPU hosts
- Connection attempts to vGPU management interfaces from guest VMs
SIEM Query:
source="hypervisor_logs" AND (event="crash" OR event="vGPU_error") OR source="guest_vm_logs" AND process="nvidia" AND event="exception"