This paper describes our system submission for the GermEval 2018 shared task on the identification of German hate speech in Tweets at Konvens 2018. We trained and tested a Logistic Regression classifier with 10-fold cross validation using character ngrams as features. We achieved a macro F1 of 76.72 for the coarse-grained classification task and 47.17 for the fine-grained task when testing the classifiers on a small development set we created.