Full Report
Executive Summary: Bypassing Boundaries in Enterprise AI Infrastructure The massive global adoption of artificial intelligence (AI) and large language models (LLMs) has fundamentally rewritten the enterprise threat landscape. Modern high-compute bare metal clusters, cloud nodes, and developer workstations now routinely host dense data science stacks running frameworks such as TensorRT LLM, PyTorch, and deep CUDA execution layers. To process complex matrix calculations efficiently, low-privilege user mode tasks require direct pipelines straight to the underlying graphics acceleration hardware.
Analysis Summary
# Vulnerability: NVIDIA Windows Kernel Mode Driver Privilege Escalation
## CVE Details
- **CVE ID:** CVE-2026-24190 (Primary focus), CVE-2026-24193, CVE-2026-24182
- **CVSS Score:** Not explicitly listed (High Severity implied by Kernel-level LPE)
- **CWE:** CWE-20 (Improper Input Validation), CWE-822 (Untrusted Pointer Dereference)
## Affected Systems
- **Products:** NVIDIA GPU Display Driver (specifically `nvlddmkm.sys`)
- **Versions:** Enterprise R595 branch builds prior to 596.36 (e.g., Vulnerable build 596.21)
- **Configurations:** Systems running NVIDIA Turing, Ampere, Ada Lovelace, and Blackwell microarchitectures. This includes enterprise AI clusters, cloud nodes, and workstations using CUDA, TensorRT, or PyTorch.
## Vulnerability Description
The vulnerability exists in the Windows Kernel Core Display Driver (`nvlddmkm.sys`). Due to the requirement for low-privilege user-mode tasks to have direct pipelines to graphics hardware for AI workloads, the driver exposes various IOCTL handlers.
The flaw involves systemic input validation failures across 14 different IOCTL sub-dispatch handlers. Specifically:
1. **Pointer-Tracking Slot Collisions:** A logic error where volatile indices caused memory writes to be directed to shared slots instead of isolated offsets.
2. **Missing Object State Validation:** A "shallow" activation check allowed operations on uninitialized or freed objects.
3. **Validation Bypass:** The driver parsed complex input layouts and length fields before verifying packet authenticity, allowing for unvalidated pointer extraction.
## Exploitation
- **Status:** PoC described via reverse engineering/structural diffing (Likely private/research-stage).
- **Complexity:** Medium (Requires understanding of undocumented IOCTL structures).
- **Attack Vector:** Local (Low-privilege user-mode to Kernel-mode).
## Impact
- **Confidentiality:** High (Full kernel-level access allows reading any system memory).
- **Integrity:** High (Ability to modify kernel structures and escort privileges).
- **Availability:** High (Can lead to system crashes/BSOD).
## Remediation
### Patches
- **NVIDIA Windows Driver Build 596.36** or later (May 2026 Security Baseline). Users should update to the latest R595 branch or equivalent.
### Workarounds
- No specific software workarounds provided. Minimizing multi-tenant exposure in virtualized environments with hardware passthrough is recommended until patches are applied.
## Detection
- **Indicators of Compromise:** Unusual IOCTL calls to `nvlddmkm.sys` originating from non-administrative processes.
- **Detection methods and tools:**
- Monitor for system instability or unexpected `nvlddmkm.sys` crashes.
- Security teams can use the "0x240d Token Gatekeeper" logic as a signature: patches introduced a `CMP EDX, 0x240d` check early in the entry point of affected IOCTL handlers to block unvalidated access.
## References
- LevelBlue SpiderLabs Blog: hxxps[://]www[.]levelblue[.]com/blogs/spiderlabs-blog/reversing-nvidias-cve-2026-24190-how-a-kernel-flaw-put-enterprise-ai-clusters-and-workstations-at-risk
- NVIDIA Security Advisory (Refer to vendor portal for R595 May 2026 update).