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License: Apache License 2.0
Training job management tool for foundation model service
License: Apache License 2.0
Noticed that image is running as root. Twistlock scan marks that as a high security issue.
It is a good practice to run the container as a non-root user, if possible. Though user namespace mapping is now available, if a user is already defined in the container image, the container is run as that user by default and specific user namespace remapping is not required
Proposing to have it as user 1000 and doing a OS update to catch any latest OS fix that might be available at build time.
Our solution requires integration with both a database and kubernetes. Ensure we can perform sufficient unit tests that does not need a full blow ecosystem installation.
Description
As part of integration with SFTtrainer codebase, we need to enlist all parameters to expose to users . This issue captures the information.
Acceptance criteria
we have agreed upon parameters to expose to users
Kelly mentioned that a good repo to emulate would be: caikit: https://github.com/caikit/caikit
And... As far as testing, our biggest barrier was the fact that we have external dependencies on k8s and redis.. And trying to emulate that for proper unit tests..
A good repo to emuulate would be - Caikit: https://github.com/caikit/caikit
Our solution will require:
We will need to either use an existing or write new python code to perform this watching, and also employ leader election
There's a Low and High vulnerability in Miniconda Which is fixed from the latest version from:
https://repo.anaconda.com/miniconda/
Currently that's: Miniconda3-py311_23.11.0-2-Linux-x86_64.sh
Before the latest fix:
<style> </style>severity | severityCHML | cvss | riskFactors | cve | link | hasFix | status | packageType |
---|---|---|---|---|---|---|---|---|
low | L | 1 | Has fix,Recent vulnerability | GHSA-v8gr-m533-ghj9 | GHSA-v8gr-m533-ghj9 | Y | fixed in 41.0.4 | python |
high | H | 7.5 | Attack vector: network,DoS - High,Has fix,High severity,Recent vulnerability | CVE-2023-49083 | https://nvd.nist.gov/vuln/detail/CVE-2023-49083 | Y | fixed in 41.0.6 | python |
After the latest fix, no vulnerabilities.
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