Attributed metadata history
Up to 100 retained publisher events per page for d8a60a7d0212b3358dc1eee2a8a81a8ffb95dbbb28535b197c20a6210109ebe0. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_350d40f2cc69277bca
observed · 2026-10-12 08:34:02 UTC
Samsung’s neural processing framework has received a lot of attention from the security community since its introduction. Hardware isolation vulnerabilities have been demonstrated, both on the NPU and DSP cores (1, 2), that could be used to compromise the kernel. The surrounding kernel code was also exploited by multiple researchers to gain local privilege escalation (1, 2). I, too, explored in a previous blog post how a kmalloc overflow within the Samsung NPU kernel driver can be exploited to gain arbitrary kernel read/write access. As a follow up work, I’ve decided to investigate Huawei’s implementation of their neural processing framework. Despite being the second largest vendor on the Android market, recently there have been lot fewer technical papers published about the security of their devices.
Fingerprint: 5c58dc27daa084dd9b9442b69b31b9ac45337092d888d93e4340f407c501b1ab
intelligence_src_350d40f2cc69277bca
observed · 2026-10-12 08:34:02 UTC
available
Fingerprint: fe0fdc07a129ff203534388ab215df24d870069207d85287923a2a35a12b5578