Infrastructure setup

Before we start

Yeti offers two installation methods: Kubernetes (K8s) or Docker (through docker-compose). Choose your preferred method and follow the instructions in this guide.

Using Kubernetes / minikube

Kubernetes (k8s) / minikube will get you started in no time, thanks to the OSDFIR Helm chart (you can read more about it here). If you are new to Kubernetes, consider reviewing the OSDFIR Infrastructure getting started guide.

Prerequisites

To get started, ensure you have Helm and Kubectl installed and are authenticated to your Kubernetes cluster.

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Note: If you don’t have a remote k8s setup, you can still use Minikube or KIND to install Yeti and Timesketch locally.

For minikube, you might need to run:

kubectl config use-context minikube

Pull chart and install release

Once complete, add the repo containing the Helm charts as follows:

helm repo add osdfir-charts https://google.github.io/osdfir-infrastructure

If you had already added this repo earlier, run helm repo update to retrieve the latest versions of the packages. You can then run helm search repo osdfir-charts to see the available charts.

To install the Yeti and Timesketch chart, pick a release name of your choice, for example, using a release name of my-release, run the following:

helm install my-release osdfir-charts/osdfir-infrastructure \
--set global.turbinia.enabled=false
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Note: Using --set global.turbinia.enabled disables the Turbinia deployment from being installed given it is not being used as part of this guide and is enabled by default otherwise.

To uninstall the chart:

helm uninstall my-release

For instructions on installing Yeti along with other integrated DFIR tools, refer to the main OSDFIR Infrastructure repository. Additionally, refer to the Yeti Helm chart README for a comprehensive list of configuration options.

That’s it!

You’re now ready to start your investigation with Timesketch and Yeti. Head to the investigation steps to follow the rest of the guide.

Using Docker and docker compose

  • You’ll be running two set of docker compose “projects”. One for Yeti, and one for Timesketch;
  • You’ll connect the Timesketch and Yeti containers to the same network;
  • ALL of the docker compose commands need to be run in the directory that have a docker-compose.yaml file.

You can cleanup everything at the end of the workshop by doing docker compose down on each project’s respective docker compose directory.

To stay organized, we recommend you create a directory called yeti_platform_guide and run all these commands from there.

Installing Yeti

Get a release docker image started:

git clone https://github.com/yeti-platform/yeti-docker
cd yeti-docker/prod
docker compose -p yeti up

You can use the --no-cache option in the docker compose up command to rebuild the images from scratch.

# If you're running an outdated version of Yeti
# pull the latest images:
docker pull yetiplatform/yeti-frontend:latest
docker pull yetiplatform/yeti:latest

This will create and run the latest release Yeti containers, and start a web service running on http://localhost:80/. You can check the service is up now, but you’ll need to create a user to continue:

docker compose -p yeti exec -it api /docker-entrypoint.sh create-user yeti yeti --admin

The output should contain the line:

User yeti successfully created! API key: yeti:<APIKEY>

Head to http://localhost:80/ and log in with the credentials of the user you just created. Take note of that API key, as it will be used by Timesketch in the next step.

Installing Timesketch

We’re going to be using a development version of Timesketch, start by cloning the Timesketch repository:

git clone https://github.com/google/timesketch

Edit timesketch/data/timesketch.conf to point to our deployed Yeti instance

[...]

# Threatintel Yeti analyzer-specific configuration
# URI root to Yeti's API, e.g. 'https://localhost:8080/api'
YETI_API_ROOT = 'http://yeti-frontend/api/v2'

# API key to authenticate requests
YETI_API_KEY = 'c90811fd5cd0978e2c2672332cfc712503725863c63885e90db4afe1070c5b21'  # API key from previous step

# Labels to narrow down indicator selection
YETI_INDICATOR_LABELS = ['domain']  # unused

[...]

Go to the docker directory, and run docker compose up:

cd timesketch/docker/dev
docker compose -p timesketch up

This can take a moment. After a few minutes, you should see:

timesketch-dev  | Timesketch development server is ready!

Then open two terminals (it’s a good idea to use tmux or something similar), and run the following commands:

Shell 1:

cd timesketch/docker/dev
docker compose -p timesketch exec timesketch gunicorn --reload -b 0.0.0.0:5000 --log-file - --timeout 120 timesketch.wsgi:application

This will start the Timesketch web server.

Shell 2:

cd timesketch/docker/dev
docker compose -p timesketch exec timesketch celery -A timesketch.lib.tasks.celery worker --loglevel=info

This will start the Timesketch Celery workers, which are used to import plaso files and run analyzers.

Open http://localhost:5000 or http://127.0.0.1:5000 and login with dev / dev

Connecting Yeti and Timesketch

Docker network connectivity

List networks in your Docker environment:

$ docker network ls
NETWORK ID     NAME                 DRIVER    SCOPE
e0e2da34fe54   bridge               bridge    local
aff34be18958   host                 host      local
4ef6dd47f376   none                 null      local
d5c1f8727703   timesketch_default   bridge    local
82ac0824ce2a   yeti_network         bridge    local
  • timesketch_default → Docker compose network for our Timesketch compose project. The network name prefix was specified in the -p flag when running the docker compose up command.
  • yeti_network → Docker compose network for Yeti. The name of the network was specified in the Yeti docker-compose.yaml file.

Inspect the Yeti network:

docker network inspect yeti_network

This section should be somewhere in the output of the above command:

{
 "Containers": {
            "e5ffa7aa1929d407f69422ef0a4d6e6fc52317907f2cee32420f1326402c2084": {
                "Name": "yeti-frontend",
                "EndpointID": "3ec358652ed8d96111d44326770e8d2f73a4462fdbe7552d5e57cb894ed886cc",
                "MacAddress": "02:42:ac:1e:00:06",
                "IPv4Address": "172.30.0.6/16",
                "IPv6Address": ""
            },
            "f6f096d206d94c257d353904e15ffa914c542a9e3688ebd49bb8cdd67358f2a3": {
                "Name": "yeti-tasks",
                "EndpointID": "58380dc3312692970f3421bb1663e5f4cf7982bfbbf793092634013d947eaedc",
                "MacAddress": "02:42:ac:1e:00:05",
                "IPv4Address": "172.30.0.5/16",
                "IPv6Address": ""
            }
}

Connect the yeti-tasks and yeti-frontend to timesketch_default (the Timesketch network). We need this so that:

  • The Timesketch server can query the Yeti API server (running on yeti-frontend);
  • The Yeti task service (running on yeti-tasks) can feed off the Timesketch API.
docker network connect timesketch_default yeti-tasks
docker network connect timesketch_default yeti-frontend

You should see these two containers in the result of docker network inspect timesketch_default.

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Optional: You can test that the hosts can ping each other by doing

docker exec -it yeti-frontend /bin/bash
apt update && apt install inetutils-ping -y
ping timesketch-dev
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Note: In Docker, you can refer to hosts on the network by their container name (e.g. yeti-frontend, what you see in the result of docker ps -a) or by “service name” in the respective compose file (e.g. frontend)

That’s it!

You’re now ready to start your investigation with Timesketch and Yeti. Head to the investigation steps to follow the rest of the guide.

Getting GRR set up (optional)

Good docs at https://grr-doc.readthedocs.io/en/latest/installing-grr-server/via-docker.html

Installing the GRR server

docker run \
  --name grr-server \
  -e EXTERNAL_HOSTNAME=localhost \
  -e ADMIN_PASSWORD=demo \
  -p 0.0.0.0:8000:8000 -p 0.0.0.0:8080:8080 \
  ghcr.io/google/grr:v3.4.6.7

Wait a few minutes, and you should be good to go (this takes a while)

Installing GRR clients

You can either install GRR clients on the docker container itself, or any host you want, provided that they can reach the server through the EXTERNAL_HOSTNAME variable you provided above.

docker exec -it grr-server /bin/bash
root@b7d5a20b496e:/usr/share/grr-server/executables/installers# ls -la
total 117152
drwxr-xr-x 2 root root     4096 Oct 18 12:00 .
drwxr-xr-x 1 root root     4096 Oct 18 11:56 ..
-rw-r--r-- 1 root root 34287616 Oct 18 11:58 GRR_3.4.6.7_amd64.msi
-rw-r--r-- 1 root root 34287616 Oct 18 11:59 dbg_GRR_3.4.6.7_amd64.msi
-rw-r--r-- 1 root root      914 Oct 18 11:57 grr_3.4.6.7_amd64.changes
-rw-r--r-- 1 root root 17655240 Oct 18 11:57 grr_3.4.6.7_amd64.deb
-rw-r--r-- 1 root root 16904836 Oct 18 11:57 grr_3.4.6.7_amd64.pkg
-rw-r--r-- 1 root root 16805741 Oct 18 12:00 grr_3.4.6.7_amd64.rpm

You can either:

  • Install one of these on the server (the already running docker container)

If the Docker install doesn’t make the client appear on your client list, launch it manually:

/usr/sbin/grrd --config=/usr/lib/grr/grr_3.4.6.7_amd64/grrd.yaml
  • or just copy one of the clients and run it on your host.
docker cp grr-server:/usr/share/grr-server/executables/installers/grr_3.4.6.7_amd64.pkg /tmp

Then connect the grr-server to the rest of your network:

docker network connect dev_default grr-server

Troubleshooting

Error response from daemon: Ports are not available: exposing port TCP 127.0.0.1:5001 -> 0.0.0.0:0: listen tcp 127.0.0.1:5001: bind: address already in use

This means you have a service listening on a port required by the container. It’s common that this happens if you have other docker containers running, or SSH tunneling with port forwarding going on. VSCode will sometimes forward ports for you if you’re doing remote development.

ModuleNotFoundError: No module named 'timesketch'

Just retry the command (the installation happens after the docker container is launched, so it may take a few seconds before the python scripts are done installing)

"Service "tasks" is not running" when running a Docker compose command

It probably means you’re running the command from a directory that doesn’t contain a docker compose file (or that contains the wrong docker compose file). Double-check the directories:

  • yeti-docker/prod/ for all things Yeti related
  • timesketch/docker/dev/ for all things Timesketch related