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Lemmy Safety now supports cleaning local pict-rs storage from CSAM (github.com)
submitted 1 year ago* (last edited 1 year ago) by db0@lemmy.dbzer0.com to c/selfhosted@lemmy.world
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I posted the other day that you can clean up your object storage from CSAM using my AI-based tool. Many people expressed the wish to use it on their local file storage-based pict-rs. So I've just extended its functionality to allow exactly that.

The new lemmy_safety_local_storage.py will go through your pict-rs volume in the filesystem and scan each image for CSAM, and delete it. The requirements are

  • A linux account with read-write access to the volume files
  • A private key authentication for that account

As my main instance is using object storage, my testing is limited to my dev instance, and there it all looks OK to me. But do run it with --dry_run if you're worried. You can delete lemmy_safety.db and rerun to enforce the delete after (method to utilize the --dry_run results coming soon)

PS: if you were using the object storage cleanup, that script has been renamed to lemmy_safety_object_storage.py

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[-] Franzia@lemmy.blahaj.zone -1 points 1 year ago

Oh come on, its just a correction of communication

[-] Earthwormjim91@lemmy.world 2 points 1 year ago

It’s probably projection. Nobody reasonable would have jumped to the same conclusion. It doesn’t even remotely read like that.

[-] Franzia@lemmy.blahaj.zone 2 points 1 year ago

It sounds to me like an NT desire for perfectly crafted arguments, without ambiguity. I do this, and feel fortunate that I didnt call for a correction, myself. See how vicious you all are about it.

[-] Earthwormjim91@lemmy.world 1 points 1 year ago

Oh come on. Being ND doesn’t mean your mind jumps to sharing child porn. That’s a fuckin cop out.

[-] Franzia@lemmy.blahaj.zone 2 points 1 year ago

You are saying the mind jumps, but that is the topic. I meant to say that being ND can create a desire for clarity in communication. A direct or terse argument.

this post was submitted on 31 Aug 2023
361 points (99.5% liked)

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