While investigating websites, analysts often acquire images, either as individual files from the sites or as screenshots (perhaps from Iris Investigate). The question is then “Can we identify images that are similar to each other?” Perceptual hashes are a popular approach to assessing visual similarity. We demonstrate use of perceptual hashes for some sample images (including showing their robustness to small changes), and then apply the technique to a set of gambling-related domains.