CVE-2025-58409: GPU System Privilege Escalation Vulnerability

CVE-2025-58409 Overview

CVE-2025-58409 is a memory corruption vulnerability affecting GPU drivers that allows software running as a non-privileged user to conduct improper GPU system calls. This flaw enables attackers to subvert GPU hardware to write to arbitrary physical memory pages, potentially compromising system integrity at the kernel level.

Under certain circumstances, this exploit can corrupt data pages not allocated by the GPU driver, including memory pages actively used by the kernel and other drivers running on the platform. This can alter their behavior in unpredictable and dangerous ways. The attack leverages the GPU to perform write operations on restricted internal GPU buffers, leading to a second-order effect of corrupted arbitrary physical memory.

Critical Impact

Non-privileged attackers can leverage improper GPU system calls to write to arbitrary physical memory, potentially corrupting kernel memory and driver behavior to achieve privilege escalation or system compromise.

Affected Products

• Imagination Technologies GPU Drivers (specific versions not disclosed)
• Systems utilizing PowerVR GPU hardware with vulnerable driver implementations
• Devices running affected GPU driver software without proper memory isolation

Discovery Timeline

• 2026-01-13 - CVE CVE-2025-58409 published to NVD
• 2026-01-13 - Last updated in NVD database

Technical Details for CVE-2025-58409

Vulnerability Analysis

This vulnerability falls under CWE-119 (Improper Restriction of Operations within the Bounds of a Memory Buffer), a classification that encompasses various memory safety issues where operations can be performed outside intended memory boundaries.

The core issue lies in how the GPU driver handles system calls from non-privileged user-space applications. The driver fails to properly validate and restrict memory access requests, allowing malicious software to direct the GPU hardware to write to physical memory addresses outside its allocated buffers. This represents a critical failure in the hardware-software security boundary that should isolate GPU operations from sensitive system memory.

The attack surface is particularly concerning because it can be triggered by unprivileged software, meaning no special permissions or elevated access is required to initiate the exploit. An attacker with the ability to execute code on the target system—even with minimal privileges—can potentially leverage this vulnerability to achieve broader system compromise.

Root Cause

The root cause stems from insufficient validation of GPU system call parameters and inadequate memory access controls within the GPU driver. When user-space applications issue GPU commands, the driver fails to properly enforce memory boundaries, allowing the GPU hardware to access and modify physical memory regions that should be protected.

The vulnerability specifically allows the GPU to perform write operations on restricted internal GPU buffers. This inadequate isolation between GPU operations and system memory creates a pathway for arbitrary physical memory corruption.

Attack Vector

The attack begins with a non-privileged user executing malicious software that issues specially crafted GPU system calls. These system calls exploit the insufficient validation in the GPU driver to direct the GPU hardware to write data to arbitrary physical memory locations.

The exploitation path involves:

1. The attacker runs malicious software with standard user privileges on the target system
2. The software issues malformed or crafted GPU system calls designed to bypass memory restrictions
3. The GPU driver processes these calls without proper validation, passing them to the GPU hardware
4. The GPU hardware performs write operations to physical memory addresses specified by the attacker
5. Kernel or driver memory pages are corrupted, altering system behavior
6. The attacker leverages the corrupted memory state to achieve privilege escalation or other malicious objectives

The second-order effect—corruption of arbitrary physical memory—makes this vulnerability particularly dangerous, as it can affect any part of the system memory, including security-critical kernel structures.

Detection Methods for CVE-2025-58409

Indicators of Compromise

• Unexpected system crashes or kernel panics occurring after GPU-intensive operations
• Anomalous GPU driver behavior or error messages in system logs
• Unexplained memory corruption symptoms affecting kernel modules or system stability
• Evidence of privilege escalation attempts following GPU activity

Detection Strategies

• Monitor for unusual patterns in GPU system call activity, particularly from non-privileged processes
• Implement kernel memory integrity checking to detect unexpected modifications to critical memory regions
• Deploy endpoint detection and response (EDR) solutions capable of monitoring GPU driver interactions
• Analyze GPU driver error logs for signs of memory boundary violations or invalid memory access attempts

Monitoring Recommendations

• Enable verbose logging for GPU driver operations to capture potential exploitation attempts
• Configure system monitoring to alert on unexpected kernel memory modifications
• Implement behavioral analysis for processes making high volumes of GPU system calls
• Deploy memory forensics capabilities to investigate potential exploitation events

How to Mitigate CVE-2025-58409

Immediate Actions Required

• Review the Imagination Technologies GPU Driver Vulnerabilities advisory for vendor-specific guidance
• Update GPU drivers to the latest version provided by the device manufacturer
• Restrict execution of untrusted software on systems with vulnerable GPU configurations
• Consider implementing additional access controls for GPU resources where supported

Patch Information

Affected organizations should consult the official Imagination Technologies GPU Driver Vulnerabilities advisory for specific patch information and remediation guidance. Device manufacturers utilizing Imagination Technologies GPU components should be contacted for updated driver packages.

Workarounds

• Limit execution of untrusted applications on affected systems until patches are available
• Implement application whitelisting to prevent unauthorized software from accessing GPU resources
• Where possible, restrict GPU access to trusted applications only through system configuration
• Monitor systems for signs of exploitation while awaiting vendor patches