  Device fingerprinting over the web has received much attention both by the
research community and the commercial market a like. Almost all the
fingerprinting features proposed to date depend on software run on the device.
All of these features can be changed by the user, thereby thwarting the
device's fingerprint. In this position paper we argue that the recent emergence
of the HTML5 standard gives rise to a new class of fingerprinting features that
are based on the \emph{hardware} of the device. Such features are much harder
to mask or change thus provide a higher degree of confidence in the
fingerprint. We propose several possible fingerprint methods that allow a HTML5
web application to identify a device's hardware. We also present an initial
experiment to fingerprint a device's GPU.
