I was trying to audit some images I use locally at the command line. I missed the relevant instructions until the third time I read the README. Hopefully this new heading and text make it easier to catch the reader's eye. For more on README readability, please see https://www.youtube.com/watch?v=sQP_hUNCrcE.
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Clair
Note: The master
branch may be in an unstable or even broken state during development.
Please use releases instead of the master
branch in order to get stable binaries.
Clair is an open source project for the static analysis of vulnerabilities in application containers (currently including appc and docker).
Vulnerability data is continuously imported from a known set of sources and correlated with the indexed contents of container images in order to produce lists of vulnerabilities that threaten a container. When vulnerability data changes upstream, a notification can be delivered, and the API queried to provide the previous state and new state of the vulnerability along with the images affected by both. All major components can be extended programmatically at compile-time without forking the project.
Our goal is to enable a more transparent view of the security of container-based infrastructure.
Thus, the project was named Clair
after the French term which translates to clear, bright, transparent.
Common Use Cases
Audit a single Docker image locally
You're building an application and want to depend on a third-party container image that you found by searching the internet.
To make sure that you do not knowingly introduce a new vulnerability into your production service, you decide to scan the container for vulnerabilities.
Run docker pull
to put the image on your development machine and then start an instance of Clair.
Once it finishes updating, use the local image analysis tool to analyze the container.
You realize this container is vulnerable to many critical CVEs, so you decide to use another one.
Container Registry Integration
Your company has a continuous-integration pipeline and you want to stop deployments if they introduce a dangerous vulnerability. A developer merges some code into the master branch of your codebase. The first step of your continuous-integration pipeline automates the testing and building of your container and pushes a new container to your container registry. Your container registry notifies Clair which causes the download and indexing of the images for the new container. Clair detects some vulnerabilities and sends a webhook to your continuous deployment tool to prevent this vulnerable build from seeing the light of day.
Hello Heartbleed
During the first run, Clair will bootstrap its database with vulnerability data from its data sources. It can take several minutes before the database has been fully populated.
NOTE: These setups are meant for running HEAD and not production workloads; please use a stable release in production.
Kubernetes
If you don't have a local Kubernetes cluster already, check out minikube.
git clone https://github.com/coreos/clair
cd clair/contrib/k8s
kubectl create secret generic clairsecret --from-file=./config.yaml
kubectl create -f clair-kubernetes.yaml
Docker Compose
$ curl -L https://raw.githubusercontent.com/coreos/clair/master/docker-compose.yml -o $HOME/docker-compose.yml
$ mkdir $HOME/clair_config
$ curl -L https://raw.githubusercontent.com/coreos/clair/master/config.example.yaml -o $HOME/clair_config/config.yaml
$ $EDITOR $HOME/clair_config/config.yaml # Edit database source to be postgresql://postgres:password@postgres:5432?sslmode=disable
$ docker-compose -f $HOME/docker-compose.yml up -d
Docker Compose may start Clair before Postgres which will raise an error.
If this error is raised, manually execute docker-compose start clair
.
Docker
$ mkdir $PWD/clair_config
$ curl -L https://raw.githubusercontent.com/coreos/clair/master/config.example.yaml -o $PWD/clair_config/config.yaml
$ docker run -d -e POSTGRES_PASSWORD="" -p 5432:5432 postgres:9.6
$ docker run -d -p 6060-6061:6060-6061 -v $PWD/clair_config:/config quay.io/coreos/clair-git:latest -config=/config/config.yaml
Source
To build Clair, you need to latest stable version of Go and a working Go environment. In addition, Clair requires that git, bzr, rpm, and xz be available on the system $PATH.
$ go get github.com/coreos/clair
$ go install github.com/coreos/clair/cmd/clair
$ $EDITOR config.yaml # Add the URI for your postgres database
$ ./$GOPATH/bin/clair -config=config.yaml
Container images
While container images for every releases are available at quay.io/repository/coreos/clair, container images built on the latest available source code are available at quay.io/repository/coreos/clair-git.
Documentation
The latest stable documentation can be found on the CoreOS website. Documentation for the current branch can be found inside the Documentation directory at the root of the project's source code.
Architecture at a Glance
Terminology
- Image - a tarball of the contents of a container
- Layer - an appc or Docker image that may or maybe not be dependent on another image
- Feature - anything that when present could be an indication of a vulnerability (e.g. the presence of a file or an installed software package)
- Feature Namespace - a context around features and vulnerabilities (e.g. an operating system)
- Vulnerability Updater - a Go package that tracks upstream vulnerability data and imports them into Clair
- Vulnerability Metadata Appender - a Go package that tracks upstream vulnerability metadata and appends them into vulnerabilities managed by Clair
Vulnerability Analysis
There are two major ways to perform analysis of programs: Static Analysis and Dynamic Analysis. Clair has been designed to perform static analysis; containers never need to be executed. Rather, the filesystem of the container image is inspected and features are indexed into a database. By indexing the features of an image into the database, images only need to be rescanned when new detectors are added.
Default Data Sources
Data Source | Data Collected | Format | License |
---|---|---|---|
Debian Security Bug Tracker | Debian 6, 7, 8, unstable namespaces | dpkg | Debian |
Ubuntu CVE Tracker | Ubuntu 12.04, 12.10, 13.04, 14.04, 14.10, 15.04, 15.10, 16.04 namespaces | dpkg | GPLv2 |
Red Hat Security Data | CentOS 5, 6, 7 namespaces | rpm | CVRF |
Oracle Linux Security Data | Oracle Linux 5, 6, 7 namespaces | rpm | CVRF |
Alpine SecDB | Alpine 3.3, Alpine 3.4, Alpine 3.5 namespaces | apk | MIT |
NIST NVD | Generic Vulnerability Metadata | N/A | Public Domain |
Customization
The major components of Clair are all programmatically extensible in the same way Go's standard database/sql package is extensible.
Everything extendable is located in the ext
directory.
Custom behavior can be accomplished by creating a package that contains a type that implements an interface declared in Clair and registering that interface in init().
To expose the new behavior, unqualified imports to the package must be added in your own custom main.go, which should then start Clair using Boot(*config.Config)
.
Related Links
Talks & Slides
- Clair: The Container Image Security Analyzer @ ContainerDays Boston 2016 - Event Video Slides
- Identifying Common Vulnerabilities and Exposures in Containers with Clair @ CoreOS Fest 2016 - Event Video Slides
- Clair: A Container Image Security Analyzer @ Microservices NYC - Event Video Slides
- Clair: A Container Image Security Analyzer @ Container Orchestration NYC - Event Video Slides