Data flow models in the literature are often very fine-grained, which transfers to the data flow analysis performed on them and thus leads to a decrease in the analysis' understandability. Since a data flow model, which abstracts from the majority of implementation details of the program modeled, allows for potentially easier to understand data flow analyses, this master thesis deals with the specification and construction of a highly abstracted data flow model and the application of data flow analyses on this model. The model and the analyses performed on it have been developed in a test-driven manner, so that a wide range of possible data flow scenarios could be covered. As a concrete data flow analysis, a static security check in the form of a detection of insufficient user input sanitization has been performed. To date, there's no data flow model on a similarly high level of abstraction. The proposed solution is therefore unique and facilitates developers without expertise in data flow analysis to perform such analyses.