SearcharxivSearch

arXiv subjects

Ahmed Najeeb

Publications and source records attributed to Ahmed Najeeb.

2 recordsLinked to original sources

MIPSBLEED: Uncovering Microarchitectural Timing Leaks in Pervasive Embedded Processors

Despite their age, MIPS processors remain deeply embedded in routers, industrial controllers, and IoT systems, yet their security against modern side-channel attacks has received little attention. This paper exposes how Simultaneous Multithreading (SMT), a feature increasingly used to boost performance in these environments, creates powerful cross-core timing channels on MIPS-based platforms. We introduce MIPSBLEED, a systematic analysis and exploitation framework that uncovers leakage in three shared microarchitectural components: the L1 data cache, L1 instruction cache, and the execution engine. Through carefully crafted assembly-level probes and quantitative leakage assessment, we demonstrate practical, high-resolution timing attacks that operate without requiring privileged access. Our evaluation reveals significant information leakage across all three channels and culminates in a single trace key recovery attack on a real elliptic curve cryptographic toolkit. These results position MIPS as an overlooked yet critical target in the study of microarchitectural security and underscore the urgent need for lightweight isolation mechanisms in resource-constrained, SMT-enabled embedded systems.

cs.CR

Glitch in Time: Exploiting Temporal Misalignment of IMU For Eavesdropping

The increasing use of voice assistants and related applications has raised significant concerns about the security of Inertial Measurement Units (IMUs) in smartphones. These devices are vulnerable to acoustic eavesdropping attacks, jeopardizing user privacy. In response, Google imposed a rate limit of 200 Hz on permission-free access to IMUs, aiming to neutralize such side-channel attacks. Our research introduces a novel exploit, STAG, which circumvents these protections. It induces a temporal misalignment between the gyroscope and accelerometer, cleverly combining their data to resample at higher rates and reviving the potential for eavesdropping attacks previously curtailed by Google's security enhancements. Compared to prior methods, STAG achieves an 83.4% reduction in word error rate, highlighting its effectiveness in exploiting IMU data under restricted access and emphasizing the persistent security risks associated with these sensors.

cs.CR