CVE-2023-33106: Qualcomm Multiple Chipsets Use of Out-of-Range Pointer Offset Vulnerability
Multiple Qualcomm chipsets contain a use of out-of-range pointer offset vulnerability due to memory corruption in Graphics while submitting a large list of sync points in an AUX command to the…
CVE-2023-33106 is a use-of-out-of-range-pointer-offset vulnerability affecting multiple Qualcomm chipsets. It arises from memory corruption in the graphics subsystem when a large list of sync points is submitted in an AUX command to the IOCTL_KGSL_GPU_AUX_COMMAND interface. For IT and security teams managing mobile devices, embedded systems, or other platforms that incorporate these chipsets, the issue matters because successful exploitation can lead to memory corruption that undermines the integrity of the graphics driver and potentially the broader system. Public detail is limited to the CISA summary; confirm exact impact and affected models against the vendor advisory.
Because the flaw sits in a privileged graphics path, defenders should treat it as a high-priority firmware concern rather than a simple application bug. Unpatched devices remain exposed until the vendor-supplied remediation is applied or the product is removed from service.
How it works
The underlying weakness is CWE-823: use of an out-of-range pointer offset. In this case the graphics code does not properly bound-check the size of a list of sync points supplied through the IOCTL_KGSL_GPU_AUX_COMMAND. When an attacker can submit a sufficiently large list, the resulting pointer arithmetic falls outside the intended memory region and produces memory corruption.
An attacker who can reach the vulnerable IOCTL—typically from a local process with sufficient privileges or via a compromised application that can issue GPU commands—triggers the out-of-range access. The corruption itself is the immediate result; further exploitation steps (privilege escalation, code execution, etc.) depend on the surrounding memory layout and are not detailed in the public summary. Specifics of any working exploit must be confirmed against the vendor advisory; no exploit code or precise trigger values are provided here.
Am I affected? How to find it in your systems
Qualcomm chipsets appear in a wide range of Android smartphones, tablets, IoT gateways, automotive systems, and other embedded platforms. Inventory efforts should therefore focus on any device whose SoC or GPU is identified as Qualcomm.
- Collect hardware identifiers (model, chipset name, GPU driver version) from MDM, asset-management, or device-inventory tools.
- Cross-reference those identifiers against the list of affected chipsets published in the Qualcomm security bulletin for this CVE; the bulletin is the authoritative source for exact model and firmware versions.
- On Android devices, examine the kernel and graphics driver build strings (for example via getprop or vendor-specific diagnostic apps) and compare them with the patched firmware levels listed by the vendor or the device OEM.
- Look for anomalous GPU-related IOCTL activity or sudden graphics-driver crashes in kernel logs and crash dumps; such events may indicate probing or exploitation attempts, though they are not definitive.
If the device is no longer receiving firmware updates, treat it as affected until proven otherwise and plan for replacement.
How to remediate
The primary remediation is to apply the vendor-supplied firmware or driver update that addresses CVE-2023-33106. Follow the CISA-required action: apply remediations or mitigations per vendor instructions, or discontinue use of the product if remediation is unavailable.
- Obtain the security bulletin and corresponding binary packages directly from Qualcomm or from the OEM that ships the finished device.
- Test the update on a representative sample of devices before broad deployment, paying attention to graphics stability and power-management behavior.
- Once validated, push the update through the normal firmware-management channel (OTA, MDM, or factory reflash) and verify successful installation via version strings or integrity checks.
- After patching, re-enable any temporary hardening measures that were put in place and confirm that the vulnerable IOCTL path is no longer reachable in its unpatched form.
Document the patch level of every remediated device for audit purposes.
If you can't patch immediately
When an immediate firmware update is not feasible, reduce exposure with compensating controls that limit access to the vulnerable graphics path and improve detection.
- Segment devices that contain the affected chipsets onto restricted network segments or VLANs so that only necessary management and application traffic is allowed.
- If a host-based or network WAF/virtual-patching solution can inspect or block the IOCTL_KGSL_GPU_AUX_COMMAND interface, enable a rule that rejects oversized sync-point lists; confirm rule efficacy against the vendor advisory.
- Disable or restrict untrusted applications that can issue GPU commands, especially those that run with elevated privileges or that accept untrusted input.
- Increase monitoring of graphics-driver crashes, unexpected process terminations, and anomalous IOCTL frequency; feed these signals into the SIEM for rapid triage.
- Where possible, enforce strict SELinux or equivalent mandatory-access-control policies that confine processes capable of reaching the GPU driver.
These measures buy time but do not eliminate the underlying memory-corruption risk; schedule the permanent patch as soon as operational constraints allow.
If your data may have been exposed
Actively exploited firmware vulnerabilities can serve as an entry point for broader compromise, including data theft. Although ransomware use of this specific CVE is not documented, any successful memory corruption on a device that handles sensitive information warrants investigation. Review device logs for signs of post-exploitation activity, rotate credentials that may have been present on the device, and consider a free exposure scan of organizational email addresses against known breach data sets to determine whether related accounts have already appeared in public dumps. Continue to monitor for vendor updates and apply them promptly.
AICompiled with AI assistance from public sources and published under our editorial standards.