CVE-2025-0467 is a high-severity vulnerability identified in Imagination Technologies' Graphics Device Driver Kit (DDK) version 1.15 RTM. The underlying issue is classified under CWE-823, which involves the use of an out-of-range pointer offset. Specifically, this vulnerability arises within the kernel software running inside a guest virtual machine (VM) environment that utilizes virtualized GPU resources. The flaw allows the guest kernel to exploit shared memory with the GPU firmware, enabling it to write data beyond the boundaries of the guest's allocated virtualized GPU memory. This out-of-bounds write can lead to corruption of memory areas outside the guest VM's intended scope, potentially impacting the integrity and confidentiality of data managed by the GPU firmware or other guest VMs sharing the same physical GPU hardware. The vulnerability's CVSS v3.1 base score is 8.2, indicating high severity, with an attack vector classified as local (AV:L), low attack complexity (AC:L), no privileges required (PR:N), but requiring user interaction (UI:R). The scope is changed (S:C), meaning the vulnerability affects resources beyond the security scope of the vulnerable component. The impact metrics indicate high confidentiality and integrity impact (C:H/I:H) but no impact on availability (A:N). No known exploits are currently reported in the wild, and no patches have been linked yet. The vulnerability was reserved in January 2025 and published in April 2025. The technical root cause is an out-of-range pointer offset error in the Graphics DDK, which is critical in environments where GPU virtualization is used, such as cloud or virtualized desktop infrastructure (VDI) deployments. This flaw could allow a malicious or compromised guest VM to escape its isolation boundaries and potentially manipulate or access sensitive data in the GPU firmware or other guest VMs, undermining the security guarantees of virtualization platforms that rely on Imagination Technologies' GPU virtualization solutions.

For European organizations, especially those leveraging virtualized environments with GPU acceleration—such as cloud service providers, research institutions, financial services, and industries relying on high-performance computing—this vulnerability poses a significant risk. Exploitation could lead to unauthorized data access or corruption across virtual machines sharing the same physical GPU, compromising confidentiality and integrity of sensitive workloads. This could result in data breaches, intellectual property theft, or manipulation of critical computations. Since the attack requires local access and user interaction, insider threats or compromised user accounts within these environments are primary concerns. The changed scope indicates that the vulnerability could affect components beyond the guest VM, potentially impacting the host or other guests, which increases the risk profile in multi-tenant environments. The lack of availability impact reduces the risk of denial-of-service, but the high confidentiality and integrity impacts make this a critical concern for compliance with European data protection regulations such as GDPR. Organizations using Imagination Technologies' Graphics DDK in virtualized GPU setups must consider this vulnerability seriously to prevent cross-VM attacks and maintain trust in their virtualization infrastructure.

Monitor Imagination Technologies' official channels for patches or updates addressing CVE-2025-0467 and apply them promptly once available. Implement strict access controls and monitoring on systems running virtualized GPU workloads to limit local user privileges and detect unusual user interactions that could trigger exploitation. Isolate sensitive workloads on dedicated physical GPU hardware where possible, avoiding shared GPU virtualization in high-security environments until a patch is available. Employ runtime security monitoring tools capable of detecting anomalous memory access patterns or out-of-bounds writes within guest VMs. Review and harden hypervisor and virtualization platform configurations to minimize the attack surface, including disabling unnecessary GPU sharing features if feasible. Conduct regular security audits and penetration testing focusing on GPU virtualization components to identify potential exploitation attempts. Educate users and administrators about the risks of this vulnerability, emphasizing the importance of avoiding untrusted code execution within guest VMs. Implement network segmentation and strict tenant isolation in multi-tenant environments to reduce lateral movement opportunities if exploitation occurs.