this post was submitted on 28 Aug 2026
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They’re using photo checksums to identify known CSAM? As in, you can change a single pixel to fool it? Is that right?
No. You are thinking about cryptographic hashes, there are locality based hashes that give you a kind of similarity metric
That would be very stupid. I'm sure they have smarter algorithms that can handle a picture being resized of cropped.
Smarter, so long as the end user doesn’t do something crazy like adjust hue and a tiny bit of compaction?
I don’t know what they use but i can come up with multiple smarter ways on the spot.
Its probably a multitude of hashes and finding multiple ones in a picture is a red flag.
one i would do is to compare the difference between pixels. You can change the colors all you want. Dark hair versus teeth will always read as opposites per example.
Actually i don’t need to argue that it works… ai generation is always an entirely new picture with new pixels in a set resolution … thats why ai cant do colorisation right.
The fact that the existing hashes where detected in such recreation means the tech is very impressive. I doubt false positives are common with these either.