CVE-2025-33219 Overview
CVE-2025-33219 is an integer overflow vulnerability in the NVIDIA Display Driver for Linux kernel module. This vulnerability allows an attacker with local access to exploit improper integer handling within the kernel module, potentially leading to code execution, privilege escalation, data tampering, denial of service, or information disclosure. The flaw stems from insufficient bounds checking that enables integer wraparound conditions to occur during arithmetic operations.
Critical Impact
Local attackers with low privileges can exploit this integer overflow in the NVIDIA kernel module to potentially achieve code execution with elevated privileges, compromise system integrity, or cause system instability.
Affected Products
- NVIDIA Display Driver for Linux
- NVIDIA Linux Kernel Module
- Systems running affected NVIDIA GPU drivers on Linux
Discovery Timeline
- 2026-01-28 - CVE-2025-33219 published to NVD
- 2026-01-29 - Last updated in NVD database
Technical Details for CVE-2025-33219
Vulnerability Analysis
This vulnerability is classified under CWE-190 (Integer Overflow or Wraparound), which occurs when an arithmetic operation produces a numeric value that exceeds the storage capacity of the integer type used to hold it. In the context of the NVIDIA kernel module, this integer overflow condition can be triggered by a local attacker to manipulate memory operations or control flow within the driver.
Integer overflow vulnerabilities in kernel modules are particularly dangerous because they operate at the highest privilege level. When an attacker successfully triggers the overflow condition, the resulting wrapped value can lead to undersized buffer allocations, incorrect bounds checks being bypassed, or other memory safety violations. Given the kernel context, successful exploitation could allow an attacker to execute arbitrary code with kernel-level privileges.
Root Cause
The root cause of CVE-2025-33219 lies in the NVIDIA kernel module's failure to properly validate and handle integer arithmetic operations. When performing calculations related to memory allocation sizes, buffer boundaries, or data structure offsets, the driver does not adequately check for overflow conditions before using the computed values. This allows an attacker to supply crafted input that causes the integer to wrap around to a smaller value, leading to subsequent memory corruption or other exploitable conditions.
Attack Vector
This vulnerability requires local access to exploit, meaning an attacker must have the ability to execute code on the target system. The attack does not require user interaction and can be performed by a low-privileged user. The attacker would need to interact with the NVIDIA driver through standard interfaces such as IOCTL calls, device file operations, or other kernel-level communication mechanisms.
The exploitation technique typically involves:
- Identifying the specific arithmetic operation vulnerable to overflow
- Crafting input values that, when processed, cause the integer to wrap around
- Leveraging the resulting incorrect value to trigger memory corruption
- Using the memory corruption primitive to achieve code execution or privilege escalation
Due to the sensitive nature of kernel exploits, specific exploitation code is not provided. Technical details can be found in the NVIDIA Support Article.
Detection Methods for CVE-2025-33219
Indicators of Compromise
- Unexpected system crashes or kernel panics related to the NVIDIA driver module (nvidia.ko)
- Anomalous IOCTL calls to NVIDIA device files (/dev/nvidia*) with unusual parameter values
- Signs of privilege escalation from low-privileged processes interacting with GPU drivers
- Kernel log entries indicating memory corruption or invalid memory access in NVIDIA modules
Detection Strategies
- Monitor for unusual patterns in NVIDIA driver interactions, particularly IOCTL calls with boundary-case parameter values
- Implement kernel integrity monitoring to detect unauthorized modifications resulting from exploitation
- Deploy endpoint detection solutions capable of identifying privilege escalation attempts
- Configure audit rules to log access to NVIDIA device files and driver interfaces
Monitoring Recommendations
- Enable kernel auditing for NVIDIA device file operations using auditd
- Monitor system logs for NVIDIA kernel module errors or warnings (dmesg | grep -i nvidia)
- Implement runtime integrity checking for critical kernel structures
- Deploy SentinelOne agents with kernel-level monitoring capabilities for real-time threat detection
How to Mitigate CVE-2025-33219
Immediate Actions Required
- Update NVIDIA Display Drivers to the latest patched version as soon as available from NVIDIA
- Review system access controls to limit which users can interact with NVIDIA device files
- Implement the principle of least privilege to minimize the number of users who can execute code locally
- Monitor systems for signs of exploitation attempts while patching is in progress
Patch Information
NVIDIA has released information regarding this vulnerability through their official support channels. System administrators should consult the NVIDIA Support Article for specific patch information and updated driver versions. Additional details are available in the NVD CVE-2025-33219 Detail page.
Workarounds
- Restrict access to NVIDIA device files (/dev/nvidia*) to only trusted users and applications
- If GPU functionality is not required, consider unloading the NVIDIA kernel module as a temporary measure
- Implement mandatory access control policies (SELinux/AppArmor) to limit driver access
- Consider using containerization to isolate applications that require GPU access
# Restrict access to NVIDIA device files
chmod 660 /dev/nvidia*
chown root:video /dev/nvidia*
# Optionally unload NVIDIA module if GPU is not needed
modprobe -r nvidia
# Add audit rules to monitor NVIDIA device access
auditctl -w /dev/nvidia0 -p rwxa -k nvidia_access
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

