This talk will be a guided tour to the developments made in camera attribution over the past 15 years of research, starting with images and later embracing video. Camera attribution is mainly based on the photoresponse non-uniformity (PRNU), which is a kind of noise that serves as a fingerprint of the device and is present in most digital sensors. We will discuss some of the standard applications with forensic interest and some emerging ones with commercial relevance. Emphasis will be put on the wild side, i.e., cases in which the target device is not available nor flatfield images that allow for a cleaner extraction of the PRNU. We will revise the fundamental mathematical assumptions that have been in place for more than a decade and find out some surprising facts.