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I'm working on an MlOps pipeline for a computer vision use case, and I'm currently deploying my bricks on kubernetes but I had the reflexion to think about my cluster security since it will be applied for image classification so I need to be sure that all my components are well configured.
I found out kube-hunter on an online article and was a "quick win" to get most results but I had some misunderstood informations (some I found responses on issues closed and others not).
When I deployed my kube-hunter job as a passive test, I was wondering what type of algorithm or concept behind this "small simple" job? I tried to look on documentation or the repo but I didnt find enough infos or hints.
Minimal example (if applicable)
This is the job that I used, I also tried to fine tune the arguments so I can test multiple functionalities.
What are you trying to achieve
I'm working on an MlOps pipeline for a computer vision use case, and I'm currently deploying my bricks on kubernetes but I had the reflexion to think about my cluster security since it will be applied for image classification so I need to be sure that all my components are well configured.
I found out kube-hunter on an online article and was a "quick win" to get most results but I had some misunderstood informations (some I found responses on issues closed and others not).
When I deployed my kube-hunter job as a passive test, I was wondering what type of algorithm or concept behind this "small simple" job? I tried to look on documentation or the repo but I didnt find enough infos or hints.
Minimal example (if applicable)
This is the job that I used, I also tried to fine tune the arguments so I can test multiple functionalities.
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