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CVE-2023-3889: CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer in Arm Ltd Valhall GPU Kernel Driver

0
High
VulnerabilityCVE-2023-3889cvecve-2023-3889cwe-119cwe-667
Published: Tue Nov 07 2023 (11/07/2023, 15:28:43 UTC)
Source: CVE Database V5
Vendor/Project: Arm Ltd
Product: Valhall GPU Kernel Driver

Description

CVE-2023-3889 is a high-severity vulnerability in the Arm Ltd Valhall GPU Kernel Driver (version r38p0) that allows a local non-privileged user to perform improper GPU memory operations. This flaw involves improper restriction of operations within memory buffer bounds, potentially enabling access to freed memory areas. Exploitation could lead to full compromise of confidentiality, integrity, and availability of the affected system without requiring user interaction. Although no known exploits are currently reported in the wild, the vulnerability poses a significant risk due to its high CVSS score of 7. 8. European organizations using devices with Arm Valhall GPUs, especially in embedded or mobile environments, should prioritize patching and monitoring. Mitigation includes applying vendor patches once available, restricting local user access, and employing memory protection mechanisms. Countries with strong mobile and embedded device markets, such as Germany, France, and the UK, are more likely to be impacted. The vulnerability’s ease of exploitation by local users and its broad impact on system security classify it as a high-severity threat.

AI-Powered Analysis

AILast updated: 12/23/2025, 18:35:32 UTC

Technical Analysis

CVE-2023-3889 is a vulnerability identified in the Arm Ltd Valhall GPU Kernel Driver, specifically version r38p0. It is categorized under CWE-119 (Improper Restriction of Operations within the Bounds of a Memory Buffer) and CWE-667 (Improper Locking). The flaw arises because the driver does not properly restrict GPU memory processing operations, allowing a local non-privileged user to perform carefully crafted operations that access memory regions that have already been freed. This can lead to use-after-free conditions, which attackers can exploit to read or write arbitrary memory, potentially escalating privileges or causing system instability. The vulnerability requires local access and low complexity to exploit, with no user interaction needed. The CVSS v3.1 score is 7.8, reflecting high impact on confidentiality, integrity, and availability. While no public exploits are known, the vulnerability’s presence in a widely used GPU kernel driver in embedded and mobile devices makes it a critical concern. The lack of available patches at the time of reporting necessitates immediate attention to access controls and monitoring for suspicious local activity.

Potential Impact

For European organizations, the impact of CVE-2023-3889 can be significant, especially for those relying on devices or systems incorporating Arm Valhall GPUs, such as smartphones, embedded systems, and IoT devices. Successful exploitation could allow attackers to bypass memory protections, leading to unauthorized data access, privilege escalation, or denial of service. This could compromise sensitive corporate or personal data, disrupt critical services, and undermine trust in affected hardware platforms. Industries such as telecommunications, manufacturing, automotive, and critical infrastructure that use embedded Arm GPUs are particularly at risk. The local attack vector means insider threats or compromised endpoints could be leveraged to exploit this vulnerability. Given the high confidentiality, integrity, and availability impacts, organizations may face regulatory and compliance challenges under frameworks like GDPR if breaches occur.

Mitigation Recommendations

1. Monitor Arm Ltd communications closely for official patches or firmware updates addressing CVE-2023-3889 and apply them promptly once available. 2. Restrict local user access to systems with Valhall GPU drivers to trusted personnel only, minimizing the risk of local exploitation. 3. Employ strict access controls and endpoint security solutions to detect and prevent unauthorized local activity. 4. Use kernel-level memory protection and hardening techniques such as Kernel Address Space Layout Randomization (KASLR) and memory tagging if supported by the platform. 5. Conduct regular security audits and vulnerability assessments on embedded and mobile devices using Arm GPUs. 6. For organizations developing custom firmware or drivers, review and harden GPU memory management code to prevent similar buffer boundary violations. 7. Implement robust logging and monitoring to detect anomalous GPU memory operations indicative of exploitation attempts. 8. Educate users and administrators about the risks of local privilege escalation vulnerabilities and enforce least privilege principles.

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Technical Details

Data Version
5.2
Assigner Short Name
Arm
Date Reserved
2023-07-24T16:57:36.839Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 694194799050fe8508060d0f

Added to database: 12/16/2025, 5:18:49 PM

Last enriched: 12/23/2025, 6:35:32 PM

Last updated: 2/5/2026, 3:29:57 PM

Views: 41

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