Date: Wed, 29 Mar 2023 11:18:59 -0300 From: Claudio André <claudioandre.br@...il.com> To: Solar Designer <solar@...nwall.com> Cc: john-users@...ts.openwall.com Subject: Re: John the Ripper in the cloud update 2023/02 Hi. Sorry, I I replied to the sender not to the list. Em seg., 27 de mar. de 2023 às 19:59, Solar Designer <solar@...nwall.com> escreveu: > On Thu, Mar 23, 2023 at 05:18:53PM -0300, Rodrigo s wrote: > > So I discovery the https://vast.ai/ > > > > And this is really what I was thinking in the start. And I think you > should > > migrate to this project. All you need to do is create a docker in > > https://hub.docker.com! > > Upon sending my previous reply, I realized that it is unnecessarily too > focused on your suggestion of vast.ai. > > Regarding us creating, publishing, and maintaining a Docker image in > general, including for use on people's own machines (and also likely > usable on vast.ai and others), I think this is a more reasonable thing > for us to do. > > Claudio Andre has some Docker images used for JtR testing published: > > https://hub.docker.com/r/claudioandre/john The Docker image containing 'john' itself is hosted at: - https://github.com/openwall/john-packages/pkgs/container/john It is the Docker image intended for (real ) use. Well, but it is targeting CPUs. A few people use it, including myself, for something fast and dirty. The "Docker registry" contains a "Jumbo 1" Docker image, a (more stable and updated) rolling image, and a hot and bleeding dev-version image . Thus, it is complete and even capable of making comparisons between different versions . In fact, at https://github.com/openwall/john-packages you can find one example of one exploratory run trying to crack 'alltests.in' in my HOME folder. For example: docker run -it -v "$HOME":/host ghcr.io/openwall/john:latest avx2 -form=SHA512crypt /host/alltests.in --max-run=300 Therefore, the image is general purpose, including for use on people's own machines. We probably need more feedback on how people are using it to make it more "general purpose".  We can support NVIDIA in Docker for OpenCL, yes. But will it be a failed experiment because people won't use it? Greetings  SIMD fallback, OMP, and so on.  tags are: v1.9.0J1, rolling, and latest.  no need to install compilers, libraries, ..., or think about them. Just think "Docker".  we know that it was used to test and debug the ZIP format (and underlying libraries) recently. It already has a few use cases.
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