YASS is a steganographic algorithm for digital images that hides messages robustly in a key-dependent transform
domain so that the stego image can be subsequently compressed and distributed as JPEG. Given the fact that
state-of-the-art blind steganalysis methods of 2007, when YASS was proposed, were unable to reliably detect
YASS, in this paper we steganalyze YASS using several recently proposed general-purpose steganalysis feature
sets. The focus is on blind attacks that do not capitalize on any weakness of a specific implementation of the
embedding algorithm. We demonstrate experimentally that twelve different settings of YASS can be reliably
detected even for small embedding rates and in small images. Since none of the steganalysis feature sets is in
any way targeted to the embedding of YASS, future modifications of YASS will likely be detectable by them as
well.
