Focus on imaginationtech vulnerabilities and metrics.
Last updated: 16 Jan 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with imaginationtech. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.
For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.
Total imaginationtech CVEs: 11
Earliest CVE date: 16 Jan 2024, 17:15 UTC
Latest CVE date: 01 Dec 2025, 12:15 UTC
Latest CVE reference: CVE-2025-58408
30-day Count (Rolling): 0
365-day Count (Rolling): 10
Calendar-based Variation
Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.
Month Variation (Calendar): -100.0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): -100.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 0.0
Max CVSS: 0
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 11 |
| 4.0-6.9 | 0 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for imaginationtech, sorted by severity first and recency.
Software installed and run as a non-privileged user may conduct improper GPU system calls to trigger reads of stale data that can lead to kernel exceptions and write use-after-free. The Use After Free common weakness enumeration was chosen as the stale data can include handles to resources in which the reference counts can become unbalanced. This can lead to the premature destruction of a resource while in use.
Kernel or driver software installed on a Guest VM may post improper commands to the GPU Firmware to exploit a TOCTOU race condition and trigger a read and/or write of data outside the allotted memory escaping the virtual machine.
Software installed and run as a non-privileged user may conduct improper GPU system calls to gain write permissions to memory buffers exported as read-only. This is caused by improper handling of the memory protections for the buffer resource.
Software installed and run as a non-privileged user may conduct improper GPU system calls to trigger NULL pointer dereference kernel exceptions.
Possible memory leak or kernel exceptions caused by reading kernel heap data after free or NULL pointer dereference kernel exception.
Software installed and running inside a Guest VM may conduct improper GPU system calls to prevent other Guests from running work on the GPU.
Software installed and running inside a Guest VM may override Firmware's state and gain access to the GPU.
Possible kernel exceptions caused by reading and writing kernel heap data after free.
Software installed and run as a non-privileged user may conduct improper GPU system calls to subvert GPU HW to write to arbitrary physical memory pages.
Kernel software installed and running inside a Guest VM may exploit memory shared with the GPU Firmware to write data outside the Guest's virtualised GPU memory.
A GPU kernel can read sensitive data from another GPU kernel (even from another user or app) through an optimized GPU memory region called _local memory_ on various architectures.