Detect malicious GIFs I was reading this article talking about a form of targeted internet bullying which involves sending flashing images via Twitter to people with epilepsy.

I was wondering whether there is a way to detect these malicious GIFs? I first though of it as a classification problem but in reality the content can be anything - what we would need to detect is the flashing lights which have a particular frequency.

Any idea on how to approach this? Which technique can be used?
GIFs are just a sequence of images

Given that you just need to find right quantification/pooling of these images to display a GIF. When you displayed a single GIF it will be a collection of different images, where flashing images will have sudden changes in pixel intensity, exactly that is what you want to catch in set of images=GIFs that are malicious.  You just need binary classification from there on.

have a look at here