Characterizing the Variance Envelope: A Multi-Dimensional Analysis of Spectre Telemetry across Architectures and Workloads

Hardware attacks like Spectre exploit built-in processor vulnerabilities, leaving anomalous footprints in Hardware Performance Counter HPC metrics. While machine learning can detect these footprints in controlled settings, static models fail in the real world when confronted with background syste...

On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

Malware detection using Hardware Performance Counters HPC has emerged as a promising solution to improve the security of computing systems as a complement to antivirus software. Hardware-based malware detectors HMD use Machine Learning ML classifiers to detect malicious application patterns. The...

Hydra: Robust Hardware-Assisted Malware Detection

Malware detection using Hardware Performance Counters HPCs offers a promising, low-overhead approach for monitoring program behavior. However, a fundamental architectural constraint, that only a limited number of hardware events can be monitored concurrently, creates a significant bottleneck,...

PT-2025-52911

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A flaw exists in the Linux kernel’s perf/x86 component related to handling PEBS records and interrupt throttling. Specifically, when the intel pmu drain pebs icl function processes the...