CVE-2025-23283
📋 TL;DR
A stack buffer overflow vulnerability in NVIDIA vGPU Manager for Linux hypervisors allows malicious guest VMs to potentially execute arbitrary code or cause denial of service. This affects organizations using NVIDIA vGPU software for virtualization on Linux platforms. The vulnerability could lead to guest-to-host escape scenarios.
💻 Affected Systems
- NVIDIA vGPU software for Linux hypervisors
⚠️ 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
Complete guest-to-host escape with full hypervisor compromise, allowing attacker to control all VMs and underlying host system.
Likely Case
Denial of service affecting vGPU functionality or targeted compromise of specific workloads running on affected hypervisors.
If Mitigated
Isolated impact limited to individual guest VM if proper segmentation and least privilege controls are implemented.
🎯 Exploit Status
Exploitation requires guest VM access and knowledge of vGPU internals. No public exploits available at disclosure time.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check NVIDIA security bulletin for specific fixed versions
Vendor Advisory: https://nvidia.custhelp.com/app/answers/detail/a_id/5670
Restart Required: Yes
Instructions:
1. Review NVIDIA security bulletin ID 5670. 2. Download appropriate vGPU software update from NVIDIA portal. 3. Apply update to hypervisor hosts. 4. Restart hypervisor services or reboot hosts as required.
🔧 Temporary Workarounds
Isolate vGPU-enabled VMs
allSegment vGPU-enabled VMs onto dedicated hypervisor clusters to limit blast radius
Restrict guest VM permissions
allImplement strict access controls and monitoring for guest VMs with vGPU access
🧯 If You Can't Patch
- Implement network segmentation to isolate vGPU traffic and limit lateral movement
- Enable enhanced logging and monitoring for vGPU-related activities and guest VM behavior
🔍 How to Verify
Check if Vulnerable:
Check vGPU software version on hypervisor and compare against NVIDIA security bulletinCheck Version:
nvidia-smi -q | grep 'Driver Version' or check vGPU manager logsVerify Fix Applied:
Verify vGPU software version matches or exceeds patched version from NVIDIA advisory📡 Detection & Monitoring
Log Indicators:
- Unusual vGPU manager crashes
- Stack overflow errors in hypervisor logs
- Abnormal guest VM vGPU operations
Network Indicators:
- Unexpected vGPU protocol traffic patterns
- Anomalous communication from guest VMs to hypervisor vGPU services
SIEM Query:
source="hypervisor_logs" AND ("stack overflow" OR "vGPU crash" OR "buffer overflow")