CVE Alert: CVE-2025-47365 – Qualcomm, Inc. – Snapdragon

Risk verdict

High risk of memory corruption on affected Qualcomm automotive platforms via a local attacker; urgency is contingent on KEV/EPSS signals, which are not provided here.

Why this matters

Memory corruption from processing large inputs could expose confidentiality, integrity and availability in vehicle ECUs. In practice, an attacker with local access could trigger a fault through a remote interface, potentially enabling code execution or a crash that disrupts safety-critical functions and infotainment/telemetry services.

Most likely attack path

Attacker requires local access with low privileges. By sending large input data through the vehicle’s communication interface, they could provoke an integer overflow that corrupts memory. With no user interaction needed, successful exploitation may enable control of the affected subsystem or cause a targeted denial of service, with possible lateral movement to related interfaces if shared memory or buses are affected.

Who is most exposed

Vehicles employing Snapdragon Auto platforms with exposed remote interfaces (telematics, gateway or infotainment subsystems) are primary exposure points, particularly in connected fleets or consumer vehicles with OTA/update capabilities.

Detection ideas

• Logs/crash dumps showing memory corruption or overflow signatures.
• Unusual, oversized input data events on the affected interface.
• Watchdog or memory-allocation failures, unexpected process restarts.
• Spikes in memory/CPU usage tied to interface activity.
• Anomalous interface traffic patterns or repeated fault-induced reboots.

Mitigation and prioritisation

• Patch promptly from the November 2025 vendor bulletin; deploy fixed firmware/software.
• If patching is delayed, disable or restrict the affected remote interface and enforce strict input validation at the interface boundary.
• Segment networks to limit access to safety-critical subsystems; apply least-privilege access to the interface.
• Plan change-management actions with regression testing in a lab prior to production.
• Enable proactive monitoring for memory errors, overflow-related crashes and repeated restarts; initiate rapid containment if incidents spike.