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bruienne avatar bruienne commented on August 28, 2024

Hi there! We have a batch mode option in the EFIgy client that would probably work well for this purpose. There is a section in the README that covers this: https://github.com/duo-labs/EFIgy#batch-mode

The idea is to use a management tool like JAMF, MunkiReports, osquery or similar to gather the needed data from each endpoint and then using the EFIgy client to submit a JSON-formatted batch all at once. The API would return results for each endpoint as JSON as well, ready for post-processing. This process could run as a scheduled job that gathers up all the data from newly added endpoints since the last run, at an interval that makes sense for your organization.

Alternatively if you are already using osquery in production you might want to check out Trail of Bits' osquery EFIgy extension which leverages osquery to run an external query to the EFIgy API on each endpoint through a regular osquery query.

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jelockwood avatar jelockwood commented on August 28, 2024

Thanks for your response. osquery with the EFIgy extension does indeed look like what I was looking for. I will still need to install something on the clients but at least I don't need to worry about trying to automate python dependencies for installing. I can then use JAMF to script running osquery.

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futureimperfect avatar futureimperfect commented on August 28, 2024

@jelockwood For what it’s worh, you shouldn’t need to worry about installing any dependencies for EFIgy, as long as you use the system Python interpreter at /usr/bin/python, since macOS ships with PyObjC support. Is that not working for you without first installing PyObjC?

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jelockwood avatar jelockwood commented on August 28, 2024

I must confess I did not try it first, I was being very literal in following the instructions. However as mentioned the osquery approach looks more promising anyway and I am now looking at its other capabilities including Linux and Zentral.

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futureimperfect avatar futureimperfect commented on August 28, 2024

Sounds good. Thanks @jelockwood!

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