Macbook M1|2|3 support

[marcorosa]

At the current stage we are not supporting M1 (or M2) out-of-the-box.
Some dependencies are not actually compatible (e.g., hyperscan). Moreover, also docker may have some architectural issues.

Initial steps to do:

• verify hyperscan package ✅
• verify hyperscan wrt broken hyperscan dependency #231 ✅
• verify the other dependencies (most of all, tensorflow and related)
• verify docker (is it supported or do we really need workarounds like export DOCKER_DEFAULT_PLATFORM=linux/amd64?)

After these verifications, we will identify the steps needed to support arm

[marcorosa]

Update as of end of 2023 on this issue:

• hyperscan package has received recent contributions that fixed several issues. Support to ARM architecture is in their roadmap now (yet, without any ETD).
• Apple released M3. Once hyperscan supports ARM, we will have to test the tool also on M3

[marcorosa]

A way to install Credential Digger on ARM has been successfully tested. See wiki here.

Missing dependencies to have a full integration instead of this workaround:

• tensorflow-text (as of today, direct download from an external OS project) [edit Jul 2024]
• tf-models-official

[marcorosa]

Another option: play with pyproject.toml and provide two different requirements file (i.e., requirements.txt and requirements-arm.txt), but this will burden ourselves with the maintenance of 2 requirements files.

[marcorosa]

tensorflow-text starts to support arm64 architecture with version 2.17.0 binaries on pypi