apt-key is deprecated, part 2

In my first article about the deprecation of apt-key I illustrated a few ways of adding APT repository keys to your system without using the apt-key command. A good follow-up discussion to that article started on twitter (thanks to Petru Ratiu). The topics we discussed were: the use of the signed-by clause and if it really helps increasing security; the use of package pinning to avoid third-party packages taking over official packages; and the pollution of system directories.

In this post we dig a bit deeper into these topics and how they help, or don’t help, making your system more secure. A TL;DR for the impatient is included at the end of each section.

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apt-key is deprecated, now what?

It’s only a few weeks since I upgraded one of my systems from Debian 10 to Debian 11. In fact, I use to apply a “Debian distribution quarantine”: when a new major version of the distribution is out, I usually wait until a “.1” or “.2” minor version before installing it, as I don’t have enough time to debug problems that may have escaped Debian’s QA process at the very first release.

One of the first things that catch one’s attention when I ran the apt-key command in Debian 11 (e.g. a simple apt-key list) was a warning:

Warning: apt-key is deprecated. Manage keyring files in trusted.gpg.d instead (see apt-key(8))

“Deprecated” usually means that a certain functionality will be eventually removed from the system. In this case, Ubuntu users will be hit already in 2022 with the release of 22.10 in October as the command will be available last in the next LTS (22.04) to be released in April. Debian users will have more time, as the command won’t available in the next major release of Debian (supposedly Debian 12, that may be a couple of years away). This is written in clear letters in the man page:

apt-key(8) will last be available in Debian 11 and Ubuntu 22.04.

So, what are you supposed to do now in order to manage the keys of third party APT repositories?

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Bash scripting: using ‘read’ without a loop

Another post in the “note to myself” style.

For anyone who does bash scripting, the command read is a well known tool. A usual task that we use read for it is to process the output of another command in a while loop, line by line, picking up a few fields and doing something with them. A stupid example:

sysctl -a 2> /dev/null | grep = | while read PARM DUMMY VALUE
do
  echo "Value for $PARM is $VALUE"
done

That is: we read the output of sysctl, line by line, selecting only the lines that contain a = sign, then read the name of the setting and its value in PARM and VALUE respectively, and do something with those values. So far so good.

Based on what we have just seen, it’s easy to expect that this:

echo foobar 42 | read PARM VALUE
echo "Value for $PARM is $VALUE"

would print “Value for foobar is 42“. But it doesn’t:

Value for  is 

So, where did those values go? Did read work at all? In hindsight I can tell you: yes, it worked, but those values have disappeared as soon as read was done with them. To both parse them and use them you have to run both read and the commands using the variables in the same subshell. This works:

echo foobar 42 | ( read PARM VALUE ; echo "Value for $PARM is $VALUE" )

Or even

echo foobar 42 | (
    read PARM VALUE
    echo "Value for $PARM is $VALUE"
)

This will print “Value for foobar is 42”, as expected.

Reading one-line lists with the Bash shell

Commands like the AWS CLI may return a list of values all in one line, where each item in the list is separated by the nearby items with spaces. Using a plain read command doesn’t really work: read will read all the values in one go into the variable. You need to change the delimiter that read uses to split the input. No need to pipe the output through Perl or other tools, read got you covered with the -d option.

In this example I get the list of the ARNs of all target groups in an AWS account, and then iterate over those ARNs to list all the instances in each target group. The ouput will also be saved into a file through the tee command:

aws elbv2 describe-target-groups \
  --query 'TargetGroups[].TargetGroupArn' \
  --output text | \
  while read -d ' ' ARN ; do \
    echo -n "$ARN: " ; \
    aws elbv2 describe-target-health \
      --target-group-arn "$ARN" \
      --query 'TargetHealthDescriptions[].Target.Id' \
      --output text ; sleep 1 ; \
  done | \
  tee tg-instances.txt

The ouput of this one liner will be in the format:

ARN: instance_ID [instance_ID...]

Things to notice:

  • the AWS CLI’s describe-target-groups command will list all target groups’ ARNs thanks to the --query option and list as many as possible on single lines, according to the shell’s output buffer capacity; the ouput is piped through a while loop;
  • the while loop uses read -d ' ' to split each line at spaces and save each item in the $ARN variable, one per cycle;
  • the echo command prints the value of $ARN followed by a colon, a space, but will not output a newline sequence due to the -n option;
  • the AWS CLI’s describe-target-health command will list all target IDs thanks to the --query option and print them out in a single line; it will also provide a newline sequence, so that the next loop will start on a new line;
  • the sleep 1 command slows down the loop, so that we don’t hammer the API to the point that they will rate limit us;
  • finally, the tee command will duplicate the output of the while loop to both the standard output and the file tg-instances.txt.

Automating installation/updates of the AWS CLI on Linux

Are you annoyed that there are no native Linux packages for the AWS CLI (deb, rpm…)? And, thus, no repositories? I am, a bit.

But it’s also true that the installation is not difficult at all, right? Well, yes, if you want to install it in locations different than the defaults (e.g. your user’s home directory) and on more than one machine you still have to do some work, but it’s not terrible, is it?

Then, one day, you find that one of the AWS CLI commands you need to use was added in a newer version than the one you are running, so you have to update the AWS CLI on all machines, and possibly rediscover the parameters you used during the initial installation. Are you happy with that?

I am not, and I decided to do something to automate the process: a Makefile, the simplest form of automation you can have on UNIX systems. Here you go: aws-cli-manager on github.

If you find it useful, I am happy. And if you want to support more Linux distributions or more operating systems (MacOS should be fairly easy, I expect), just go ahead and throw me a pull request. Enjoy!

Remmina: a full featured remote desktop client for Linux

If you are a Linux user and you find yourself in need to connect to a remote Windows server desktop, I hereby recommend that you give Remmina a try.

At my new job I have to check into Windows servers at times (eh, I know, it’s a cruel world…) through the RDP protocol. We have some tooling available that, given the name of a VM, will look up from various sources all information necessary to connect to that machine and build a Remote Desktop Connection file (“.rdp”). The problem: Vinagre, the standard GNOME RDP client, doesn’t know what to do with that file, so I had to find another client.

Enter Remmina.

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From AWS instance IDs to private DNS names

github-logoJust a small bash snippet for those cases where, for example, a command returns AWS instance IDs but not the matching DNS names or an IP addresses. The function id2dns, that you can add to your .bashrc file, will do the translation for you. In order to use the function you will:

  • ensure you have the aws CLI installed and functional;
  • ensure you have jq command available;
  • ensure you have valid AWS credentials set, so that your aws CLI will work.

Enjoy!

Update 2020-08-14: jq not needed any more

 

Creating and terminating test instances in AWS quickly

This is mostly a note to self. When I need an EC2 instance to run a quick test, it may be overly annoying to provision one through the web console, or it may feel a bit overkill to do that using large frameworks like terraform. Using the AWS command line is just fine, if you know what command to run with which parameters, and it pays off quickly if, to run your tests, you use the settings often (AMI, subnet, security groups…) or if during the same test sessionĀ  you need to scrap and rebuild test instances a few times. Here is an example on how to do so with the AWS command line client.

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