neural-hash-collider VS AppleNeuralHash2ONNX

That assumes the hash is base 26 which would be fun, but most hashing systems including NeuralHash are hexadecimal. NeuralHash also outputs 24 character hashes so there are 1624 possible NeuralHashes. However all of that ignores that NeuralHash is designed so that visually similar images will return the same hash on purpose. You can even provide two images of your choosing to this library and it will make them collide https://github.com/anishathalye/neural-hash-collider

This is incorrect.

The images in this link [1], are completely different. One is a cat, one is a dog. Same hash produced for both.

[1] https://github.com/anishathalye/neural-hash-collider

And here: https://github.com/anishathalye/neural-hash-collider

Also, Apple’s NeuralHash is rather prone to hash collisions, i.e. false positives, so you should absolutely expect at least some of your on-device pics to be viewed by unauthorized Apple/government personell.

Perhaps you're referring to the hash collisions that were generated for the client-side NeuralHash which was reverse engineered about a year ago: https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1

Except Apple’s hashes have collisions where images that are similar in content but not identical will have the same hash. Meaning their process will have the same result: benign images being flagged as CSAM. See an example here https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1

perceptual hashes are completely broken due to false positives, like making a picture of a dog having the same hash as CSAM images. They are vulnerable to collision and have no preimage resistance, the most important feature. Because of that you can DOS conversations and people by sending dog images with the same hash as a CSAM: https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1

Specifically the fact that you can have one hash on two images, for example. There are other ways to abuse the CSAM system, which is confirmed by several researchers (one, two). And Apple saying it's not a concern... only to pull back on these plans.