Getting below vulnerability issues , could you anyone help us how to fix this issues?
Running container images should have vulnerability findings resolved:- Container image vulnerability assessment scans container images running on your Kubernetes clusters for security vulnerabilities and exposes detailed findings for each image. Resolving the vulnerabilities can greatly improve your containers' security posture and protect them from attacks.
There are a few steps you can take to resolve vulnerability findings in your container images:
Identify the specific vulnerabilities in your images by running a vulnerability
assessment scan. This will give you a detailed report of all the vulnerabilities found in your images.
Update the images to the latest version.
Use a vulnerability scanning tool that can automatically update your images to the latest version.
Use a base image that is regularly updated and has a good security track record.
Use a multi-stage build in your Dockerfile to minimize the number of packages and vulnerabilities in your final image
Finally, you can use Kubernetes Pod Security Policy
Related
I’m unable to deploy machine learning models using ACI.
service = Model.deploy(workspace=ws,
name=service_name,
models=[word2vec_model],
inference_config=inf_config,
deployment_config=aci_config)
service.wait_for_deployment(show_output=True)
Can you please suggest how can I debug the problem?
Typically run into a variety of issues usually when uploading or downloading… Here are details on single node AKS.
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service#create-a-new-aks-cluster
“User Errors” for image build failures, I’m assuming this is when you’re intentionally attempting to break it with messed up dependencies. And “Timeouts” where we are unable to talk to the ACI container which could very well be because of the size of the model.
I have a docker image which I am running on Google's Cloud Run.
When I want to run the image locally, I have to give my container additional capabilities like the following:
docker run -p 8080:8080 --cap-add=SYS_ADMIN gcr.io/my-project/my-docker-image
Is there a way of configuring Docker's capabilities in Cloud Run?
I stumbled upon this piece of API documentation from Google, but I don't know how to configure my container. I am not even sure that it is relevant to my situation.
Any help would be really appreciated.
Expanding the POSIX capabilities is not an option on Cloud Run or Cloud Run on GKE as they represent expanding the security vulnerabilities of the underlying host.
Adding capabilities is often the easiest way to make something with special system demands work. More complex but frequently doable are modifications within the container environment or to the package configuration to get things working.
If what you're trying to do absolutely requires cap-add, this might be addressed in a feature request to the software package... or it may be a novel use case that Cloud Run cannot support but may in the future with your feedback.
Places like quay.io provide an analysis of known vulnerabilities for the container images they host. How can I connect that to my deployed software in Kubernetes? In other words, I want a process that will periodically:
query the apiserver to list all pods
get the image associated with each container in the pod
check each image against a known vulnerability list.
By analogy, we can do this at the OS level by using built-in tools or external things like Nessus. I've found plenty of tools that can do a static analysis of container images; that's like the CVE database of .apt packages. How do I apply that list of image vulnerabilities to a running system?
I've found plenty of tools that can do a static analysis of container images;
That is the preferred approach indeed.
As an alternative to connect to running container, and get their image (that a docker inspect might give you: docker inspect --format='{{.Config.Image}}' $INSTANCE_ID), you might consider:
doing this analysis in advance (at the image level)
signing the image
only allowing to run container from signed images
That is what describes Antonio Murdaca (Senior Engineer at Red Hat Inc. and one of the CRI-O guys. Docker (Moby) Core Maintainer) in "Secure your Kubernetes production cluster".
digitally sign a container image with a GPG key generating its detached signature, put the signature where it can be retrieved and verified and finally validate it when someone requests the image back on a host.
The story behind all this is pretty simple: if the signature for a given image is valid, the node is allowed to pull the image and run your containerwith it. Otherwise, your node rejects the image and fail to run your container.
That way, you only allow for running container whose image have been pre-validated.
This question has come to my mind many times and I just wanted everyone to pitch in with their thoughts on same.
The first thing that comes to my mind is container is not a VM and is almost equivalent to a process running in isolation in the host instance. Then why do we need to keep updating our docker images with security updates? If we have taken sufficient steps to secure our host instance then docker container should be safe. And even if we think from a different direction of multi layered security if the docker host is compromised then then there is no way to stop hacker from accessing all the containers running on the host; no matter how many security updates you did on the docker image.
Are there any particular scenarios which anybody can share where security updates for docker images has really helped?
Now I understand if somebody want's to update apache running in the container however are there reasons to do OS level security updates for images?
an exploit can be dangerous even if it does not give you access to the underlying operating system. Just being able to do something within the application itself can be a big issue. For example, imagine you could inject scripts into Stackoverflow, impersonate other users, or obtain a copy of the complete user database.
just like any software, Docker (and the underlying OS-provided container mechanism) is not perfect and can also have bugs. As such, there may be ways to bypass the isolation and break out of the sandbox.
We want to avoid including "yum update" within the dockerfiile, as it could generate a different container based on when the docker images is built, but obviously this could pose some security problems if a base system needs to be updated. Is the best option really to have an organization wide base system image and update that? The issue there would be that it would require rebuilding and deployment of all applications across the entire organization every time a security update is applied.
An alterative that seems a bit out there for me, would be to simply just ignore security updates within the container and only worry about them on the host machine. The thought process here would be that for an attacker to get into a container, there would need to be a vulnerability on the host machine, another vulnerability within docker-engine to get into the container, and then an additional vulnerability to exploit something within the container, which seems like an incredibly unlikely series of events. With the introduction of user namespacing and seccomp profiles, this seems to further reduce the risk.
Anyway, how can I deal with security updates within the containers, with minimal impact to the CI/CD pipeline, or ideally not having to redeploy the entire infrastructure every so often?
You could lessen the unrepeatability of builds by introducing an intermediate update layer.
Create an image like:
FROM centos:latest
RUN yum update -y
Build the image, tag it and push it. Now your builds won't change unless you decide to change them.
You can either either point your other Dockerfiles to myimage:latest to get automatic updates once you decide to do so or point to a specific release.
The way I have setup my CI system is that a successful (manual) build of the base image with updates triggers a build of any images that depend on it.
A security issue gets reported? Check that an updated package is available or do a temporary fix in the Dockerfile. Trigger a build.
In a while you will have fixed versions of all your apps ready to be deployed.
Most major distributions will frequently release a new base image which includes the latest critical updates and security fixes as necessary. This means that you can simply pull the latest base image to get those fixes and rebuild your image.
But also since your containers are using yum, you can leverage yum to control which packages you update. Yum allows you to set a release version so you can pin your updates to a specific OS release.
For example, if you're using RHEL 7.2, you might have a Dockerfile which looks something like:
FROM rhel:7.2
RUN echo "7.2" > /etc/yum/vars/releasever
RUN yum update -y && yum clean all
This ensures that you will stay on RHEL 7.2 and only receive critical package updates, even when you do a full yum update.
For more info about available yum variables or other configuration options, just look at the 'yum.conf' man page.
Also, if you need finer grained control of updates, you can check out the 'yum-plugin-versionlock' package, but that's more than likely overkill for your needs.