CVE-2025-0932: CWE-416 Use After Free in Arm Ltd Bifrost GPU Userspace Driver
Use After Free vulnerability in Arm Ltd Bifrost GPU Userspace Driver, Arm Ltd Valhall GPU Userspace Driver, Arm Ltd Arm 5th Gen GPU Architecture Userspace Driver allows a non-privileged user process to perform valid GPU processing operations, including via WebGL or WebGPU, to gain access to already freed memory.This issue affects Bifrost GPU Userspace Driver: from r48p0 through r49p3, from r50p0 through r51p0; Valhall GPU Userspace Driver: from r48p0 through r49p3, from r50p0 through r54p0; Arm 5th Gen GPU Architecture Userspace Driver: from r48p0 through r49p3, from r50p0 through r54p0.
AI Analysis
Technical Summary
CVE-2025-0932 is a Use After Free (CWE-416) vulnerability affecting multiple versions of Arm Ltd's GPU userspace drivers, specifically the Bifrost, Valhall, and Arm 5th Gen GPU architectures. The flaw arises when a non-privileged user process performs legitimate GPU operations, such as those initiated via WebGL or WebGPU interfaces, which can lead to accessing memory that has already been freed. This memory access could potentially expose sensitive data residing in freed memory buffers. The affected driver versions include Bifrost from r48p0 through r49p3 and r50p0 through r51p0; Valhall from r48p0 through r49p3 and r50p0 through r54p0; and Arm 5th Gen GPU from r48p0 through r49p3 and r50p0 through r54p0. The vulnerability requires the attacker to have low privileges (non-privileged user process) but does not require user interaction, making it easier to exploit in automated or scripted attacks. The CVSS v3.1 base score is 4.3, reflecting a medium severity with network attack vector, low attack complexity, and limited confidentiality impact. There is no impact on integrity or availability, and the scope remains unchanged. No patches or exploits are currently publicly available, but the vulnerability is published and should be addressed proactively. This vulnerability is significant because it leverages GPU drivers, which are increasingly exposed to user-space applications and web technologies, potentially broadening the attack surface beyond traditional CPU vulnerabilities.
Potential Impact
The primary impact of CVE-2025-0932 is the potential unauthorized disclosure of sensitive information through access to freed memory in GPU drivers. While the vulnerability does not affect data integrity or system availability, the confidentiality breach could expose sensitive data processed or cached by the GPU, including cryptographic keys, user data, or proprietary computations. Organizations that rely heavily on Arm GPUs in client devices, servers, or cloud environments where GPU acceleration is exposed to user processes or web applications are at risk. This includes mobile devices, embedded systems, and cloud providers offering GPU-accelerated workloads. The vulnerability could be exploited by attackers to escalate information gathering capabilities, potentially aiding further attacks. Although no known exploits exist yet, the ease of exploitation due to low privileges and no user interaction increases the risk of future exploitation. The impact is more pronounced in multi-tenant or shared environments where GPU resources are shared among untrusted users or applications.
Mitigation Recommendations
To mitigate CVE-2025-0932, organizations should: 1) Monitor Arm Ltd's official channels for patches and apply updates promptly once available to the affected GPU driver versions. 2) Restrict GPU access to trusted processes only, especially in environments where WebGL or WebGPU is enabled, by implementing strict access controls and sandboxing user processes. 3) Disable or limit WebGL and WebGPU capabilities in browsers or applications where GPU security cannot be guaranteed. 4) Employ runtime monitoring and anomaly detection to identify unusual GPU memory access patterns that could indicate exploitation attempts. 5) For cloud and multi-tenant environments, isolate GPU resources per tenant to prevent cross-tenant data leakage. 6) Review and harden GPU driver configurations and ensure minimal privileges are granted to user-space GPU processes. 7) Educate developers and system administrators about the risks of GPU driver vulnerabilities and encourage secure coding and deployment practices involving GPU acceleration.
Affected Countries
United States, China, South Korea, Japan, Germany, United Kingdom, India, Taiwan, France, Canada
CVE-2025-0932: CWE-416 Use After Free in Arm Ltd Bifrost GPU Userspace Driver
Description
Use After Free vulnerability in Arm Ltd Bifrost GPU Userspace Driver, Arm Ltd Valhall GPU Userspace Driver, Arm Ltd Arm 5th Gen GPU Architecture Userspace Driver allows a non-privileged user process to perform valid GPU processing operations, including via WebGL or WebGPU, to gain access to already freed memory.This issue affects Bifrost GPU Userspace Driver: from r48p0 through r49p3, from r50p0 through r51p0; Valhall GPU Userspace Driver: from r48p0 through r49p3, from r50p0 through r54p0; Arm 5th Gen GPU Architecture Userspace Driver: from r48p0 through r49p3, from r50p0 through r54p0.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-0932 is a Use After Free (CWE-416) vulnerability affecting multiple versions of Arm Ltd's GPU userspace drivers, specifically the Bifrost, Valhall, and Arm 5th Gen GPU architectures. The flaw arises when a non-privileged user process performs legitimate GPU operations, such as those initiated via WebGL or WebGPU interfaces, which can lead to accessing memory that has already been freed. This memory access could potentially expose sensitive data residing in freed memory buffers. The affected driver versions include Bifrost from r48p0 through r49p3 and r50p0 through r51p0; Valhall from r48p0 through r49p3 and r50p0 through r54p0; and Arm 5th Gen GPU from r48p0 through r49p3 and r50p0 through r54p0. The vulnerability requires the attacker to have low privileges (non-privileged user process) but does not require user interaction, making it easier to exploit in automated or scripted attacks. The CVSS v3.1 base score is 4.3, reflecting a medium severity with network attack vector, low attack complexity, and limited confidentiality impact. There is no impact on integrity or availability, and the scope remains unchanged. No patches or exploits are currently publicly available, but the vulnerability is published and should be addressed proactively. This vulnerability is significant because it leverages GPU drivers, which are increasingly exposed to user-space applications and web technologies, potentially broadening the attack surface beyond traditional CPU vulnerabilities.
Potential Impact
The primary impact of CVE-2025-0932 is the potential unauthorized disclosure of sensitive information through access to freed memory in GPU drivers. While the vulnerability does not affect data integrity or system availability, the confidentiality breach could expose sensitive data processed or cached by the GPU, including cryptographic keys, user data, or proprietary computations. Organizations that rely heavily on Arm GPUs in client devices, servers, or cloud environments where GPU acceleration is exposed to user processes or web applications are at risk. This includes mobile devices, embedded systems, and cloud providers offering GPU-accelerated workloads. The vulnerability could be exploited by attackers to escalate information gathering capabilities, potentially aiding further attacks. Although no known exploits exist yet, the ease of exploitation due to low privileges and no user interaction increases the risk of future exploitation. The impact is more pronounced in multi-tenant or shared environments where GPU resources are shared among untrusted users or applications.
Mitigation Recommendations
To mitigate CVE-2025-0932, organizations should: 1) Monitor Arm Ltd's official channels for patches and apply updates promptly once available to the affected GPU driver versions. 2) Restrict GPU access to trusted processes only, especially in environments where WebGL or WebGPU is enabled, by implementing strict access controls and sandboxing user processes. 3) Disable or limit WebGL and WebGPU capabilities in browsers or applications where GPU security cannot be guaranteed. 4) Employ runtime monitoring and anomaly detection to identify unusual GPU memory access patterns that could indicate exploitation attempts. 5) For cloud and multi-tenant environments, isolate GPU resources per tenant to prevent cross-tenant data leakage. 6) Review and harden GPU driver configurations and ensure minimal privileges are granted to user-space GPU processes. 7) Educate developers and system administrators about the risks of GPU driver vulnerabilities and encourage secure coding and deployment practices involving GPU acceleration.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Arm
- Date Reserved
- 2025-01-31T14:19:56.294Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 689088c0ad5a09ad00dffba0
Added to database: 8/4/2025, 10:17:36 AM
Last enriched: 2/26/2026, 10:04:44 PM
Last updated: 3/26/2026, 3:16:10 AM
Views: 375
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