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a simple role assumption service that exports resultant credentials the same way the ec2metadata service does

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An EC2 Metadata role credentials service

Simplify the process of assuming AWS roles and authenticating with MFA tokens with this web wrapper to AWS CLI commands.

This service provides:

  • an interface to assume roles to configure those credentials through a web interface;
  • a configuration file endpoint that can be used by curl to generate config files using the assumed token from the web interface and a specified role ( great for automated testing);
  • optionally, an endpoint on 169.254.169.254:80 that can answer AWS client requests for credentials (boto, aws-sdk-ruby, and others will try to pull from here automatically ). It can also provide arbirary metadatafor mocking up the avaliable endpoints of an EC2 instance's metadata.

Configuring the ec2 metadata endpoint requires superuser privileges to create the IP address 169.254.169.254 on the loopback device and listening to 169.265.169.254:80 to the docker container. These commands are handled in setup.sh

Quick Start

If you're upgrading to the newest version (from <1.0 to >=1.0), you'll need to take a one-time operation to clear out the redirects that were used in the old version. See "Updating from <1.0 to >=1.0" below.

Ensure that ~/.aws/credentials holds your IAM profiles with keys and secrets. See note about the default profile

./setup.sh

Now, go to http://169.254.169.254 to select a profile and start assuming roles.

Running the app

Dockerhub image

This repo is now in dockerhub! https://hub.docker.com/r/farrellit/ec2metadata/ can save you the effort of building yourself. The Makefile is updated accordingly.

AWS Setup

The program expects to find credentials in either ~/.aws/credentials or /code/.aws/credentials (useful in docker). You choose the profile in the application.

Invocation

Metadata Service on 169.254.169.254

Previous versions (<1.0) required a redirect used a redirect with iptables (linux) or pfctl (mac osx) to redirect to a nonprivileged docker container. Since this introduces operating system specific requirements to set up the redirect, it's been removed in 1.0, in which setup.sh uses sudo to run the docker container directly on 169.254.169.254:80.

./setup.sh will automatically create the 169.254.169.254 address on the local loopback device and start the docker daemon listening on the appropraite address and port (169.254.169.254:80).

Updating from <1.0 to >=1.0

Removing the redirect is a one-time operation that can be accomplished differently depending on how you use your packet filtering framework. You have these options:

  • Unless you've committed the redirect rule to persistent configuration, a reboot should clear the rules, and assumedly apply the unrelated persistent filtering rules your system requires.

  • You can remove the rule in question, preserving other rules. I can't provide exact guidance on this, but these commands may get you started on a linux os: sudo echo iptables -t nat -D OUTPUT --dst 169.254.169.254 -p tcp --dport 80 -j DNAT --to-destination 127.0.0.1:8009. I've added an echo to make sure it's not run without care. Use discretion!

  • On OSX, If you know you aren't using any other rules, issue this command to simply clear the packet filter settings altogther: sudo pfctl -ef - < /dev/null Use discretion! I don't know what other rules you may have.

Metadata service caveats

default profile supercedes metadata service

The metadata service is the lowest priority in the order of precedence. This means that if you have a default profile in the .aws configurations exposed to an applicaiton, this will override the metadata service.

You can still use the application anywhere that doesn't expose ~/.aws - for example docker containers or virtual machines - but it won't show the assumed role in aws sts get-caller-identity from the ec2 metadata service ( which uses ~/.aws itself to generate session tokens) or from your local machine. I recommend naming each profile something other than default if you use multiple accounts, and just specifying the correct profile for aws commands with --profile.

Clock drift

If the clock is off, the metadtaservice won't work, and the webiste doesn't currently make this as clear as it should. This is unlikely on linux as the system time is used, but in Docker for Mac, and maybe Docker for Windows, the underlying virtual machine clock has a tendency to drift in older versions. This command uses ntp to fix the clock:

docker run -it --rm --privileged --pid=host debian nsenter -t 1 -m -i sh -c "ntpd -q -n -p pool.ntp.org"

The author heavily uses this utility and has not seen the need to sync the clock on current docker versions as of early 2018.

Config writer service

You don't need this to be on 169.254.169.254:80, and so super user isn't required to configure the IP or create the port 80 redirect. You can skip setup.sh. Use the built in config writer to expose credentials to docker or other applications via configuration files. You can access the service on http://localhost:8009 .

Launching the service

make

which is equivalent in >=1.0 to

./setup.sh

If make is not available simply run the setup.

Launchiung as a daemon

This simply runs setup.sh in recent versions.

make daemon

Windows Subsystem for Linux (WSL)

If you're using Docker for Windows, and executing it via the WSL Bash shell, the only additional thing needed to make this work is to define a AWS_PROFILE_PATH environment variable to a location on Windows where the .aws directory is located. Since Docker is running on the Windows host, it is going to expect a path to somewhere in Windows, and not the Ubuntu instance where the shell is running.

For example: export AWS_PROFILE_PATH="/c/Users/<username>/.aws"

You may also need to symlink /mnt/c to /c so the WSL and Windows paths are in sync: ln -s /mnt/c /c

If you are executing Docker from Windows natively without WSL, a variation of setup.sh will be needed as that is currently assuming a unix environment.

Usage

Navigate to http://169.254.169.254.

Web flow

  1. Select a profile and submit the form. a) enter your MFA token now, if you'd like to generate a session token, obviating the need to enter a session token every time a role is assumed.
    b) optionally select or deselect the 'List Roles' checkbox
  2. Patiently await the loading of the roles under that account (your user requires read permission for this of course). Or, if impatient, deselect the List Roles checkbox on the previous page.
  3. To expose a role globally to your computer ( and all virtual machines and docker containers that route through it), select the desired role from the list, or enter in its ARN and submit. Thereafter, 169.254.169.254 supplies credentials to the local machine, for any AWS SDK that uses the standard credential search processes ( which is all of them, I think).
    a) enter your MFA token if you wish to provide it with the role assumption call. This isn't strictly required. b) select the 'Refresh' checkbox if you'd like the service to renew the credentials when they expire.
  4. To generate a config file, curl 'http://localhost:8009/config/role-arn' ( or http://169.254.169.254/config/role-arn if its configured) to generate a configuration file which will direct the SDKs to assume role-arn automatically using the temporary session token from step 1. Note that step 3 is not required to do this.

Using the config generator to support multiple roles simultaneously

Once you'e selected a profile, and (optionally) entered MFA, this technique can be used to assume roles for each application. Very useful for testing your AWS lambdas or programs with the correct credentials.

In this case I assume the arn:aws:iam::122377349983:role/nothing role. This doesn't allow any access, but is assumable (with MFA) by any account so it's great for testing.

  curl -s http://localhost:8009/config/arn:aws:iam::122377349983:role/nothing > ~/.aws/farrellit.nothing
  docker run -v `ls -d ~`/.aws/farrellit.nothing:/root/.aws/config:ro farrellit/awscli:latest sts get-caller-identity

I typically add commands such as these to a Makefile that specifies the role appropriate for the application.

Arbitrary metadata

If you are on a non-EC2 instance developing an application that interacts with the EC2 metadata service's many endpoints ( for example, subnet discovery ,VPC discovery ,etc ), you may find it convenient to be able to set arbitrary parts of the metadata to user-supplied values. There is a route to support this; anything posted to /latest/meta-data/<key> will be available on /latest/meta-data/<key> with subsequent GETs. So you can set, for example, an instance ID or a VPC ID or a Subnet ID, whatever you like. There is no validation that the URL be extant in the real ec2 metadata service; it just saves and returns.

Observe:

$  curl localhost:8009/latest/meta-data/instance-id -X POST --data  "i-1234567890abcdef"

$  curl localhost:8009/latest/meta-data/instance-id
i-1234567890abcdef

$ curl localhost:8009/latest/meta-data
{
  "instance-id": "i-1234567890abcdef"
}

$  curl localhost:8009/latest/meta-data/instance-id -X POST --data  "" # empty string

$ curl localhost:8009/latest/meta-data
{
}

Above, I've added newlines to the output for readability - but, consistent with the real EC2 metadata service, I do not add newlines or other trailing whitespace to the responses from these endpoints. All POSTed data is preserved as a string.

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