CVE Alert: CVE-2025-47341 – Qualcomm, Inc. – Snapdragon

Risk verdict

High risk due to a local, memory-corruption vulnerability in the camera/image processing path; no active exploitation reported, but patching should be prioritised.

Why this matters

Successful exploitation could grant an attacker arbitrary code execution on Snapdragon-based devices, compromising confidentiality, integrity and availability of imaging workloads. This affects a broad range of deployments from mobile devices to industrial IoT, potentially exposing sensitive image data and enabling device takeover.

Most likely attack path

An attacker with local access could trigger a buffer overflow during the image encoding completion event. The flaw requires no user interaction and low privileges, with the impact remaining on the compromised device (unchanged scope). Exploitation would hinge on sending crafted input to the camera/imaging subsystem, enabling persistence or lateral movement within the device’s local environment.

Who is most exposed

Devices leveraging Qualcomm Snapdragon Compute or Industrial IoT platforms, including smartphones, embedded cameras and industrial controllers, are most at risk due to widespread deployment of the affected components.

Detection ideas

• Crashes or kernel panics linked to the camera/imaging stack during encoding events
• Memory corruption crash dumps referencing image processing components
• Unusual heap/buffer overflow indicators in camera logs
• Anomalous camera behavior under stress tests or fuzzing of image input

Mitigation and prioritisation

• Apply vendor security advisories and firmware/driver updates addressing the vulnerability; prioritise within the next patch cycle.
• Enforce strict bounds checking and input validation in the camera/image pipeline at design and code levels.
• Implement fail-safe modes for imaging subsystems and consider device hardening (principle of least privilege, segmentation).
• Monitor for memory-corruption indicators; enable enhanced logging around image encoding events.
• Change-management: coordinate with hardware/software teams for coordinated releases; if feasible, accelerate testing for affected devices.