Abusive phenomena are commonplace in language on the web. The scope of recognizing abusive language is broad, covering many behaviours and forms of expression. This work addresses automatic detection of abusive language in Russian. The lexical, grammatical and morphological diversity of Russian language present potential difficulties for this task, which is addressed using a variety of machine learning approaches. We present a dataset and baselines for this task.