Tag Archives: ssh

Checking your SSH key Fingerprint

As many of you probably are already well aware, Github recently was made aware of a mass-assignment vulnerability (1). If you aren’t caught up, you can find the info here on the Github blog (2, 3).

This afternoon, Github sent out an email to users that they had disabled all SSH keys for a users’ accounts and they would remain suspended until validated. You can validate your keys by visiting the SSH keys section under your account settings where you will then be able to reject or validate each of your stored keys. These are listed by machine ID and key fingerprint.

But how do you know the fingerprint of your SSH key to ensure it is the correct one for each machine ID? Simply SSH into each machine and run the following, replacing the location of the key to match where you have yours stored:

ssh-keygen -lf ~/.ssh/id_rsa.pub

Analyzing Brute Force Attempts in BASH

If you have a public facing SSH server running on the standard port, your message log is probably filled with failed authentication attempts from brute force attacks. Let’s mash up some quick BASH commands to analyze this data. For our purposes, we’ll look at the top attacker IPs and the top usernames tried.

First, pull down all of your message files and decompress them in a working directory using bunzip2.

Once you have all your message logs ready, we will search through them and pull out all of the authentication failure entries and grab the IP and username for each attempt.

grep -r "authentication error" messages* | awk '{split($0,a," "); print a[NF],a[NF-2]}' > attempts

So we first use grep to look for failed authentications by searching recursively for the string “authentication error” in all of our message logs by using the wildcard. We then pipe this to awk and split each input line found into an array delimited by a whitespace. The last part of each line, and therefore our new array, goes something like: ‘authentication error for USERNAME from IP’. So to get the username and IP from our array we can use the array length variable NF and use that to index the variables we need. Here we grab the last using a[NF] and two in from that with a[NF-2]. Finally, we output this to a file called attempts.

Now, let’s use more BASH magic to do the analyses for us. Our attempts file now is in the format as follows: IP USERNAME. We want to see the top IPs and usernames and we can do that with some sorting commands.

cut -d ' ' -f2 attempts | sort | uniq -c | sort -nr > attempts_username
cut -d ' ' -f1 attempts | sort | uniq -c | sort -nr > attempts_ip

Here, we simply grab either the username in the second column or the IP in the first with cut, sort this data, prepend lines with the number of occurrences of each, and then sort by this occurrence number and output to a new file. You can now view attempts_username and attempts_ip to see the top usernames and IPs, respectively, of brute force attacks.

Lastly, we can associate the keep usernames and IPs together and sort on one or the other to see the correlation between the two. To end our initial analyses, we will sort on usernames and find out for the top attempted usernames, what are the top originating IPs.

 sort -k 2,2 attempts| uniq -c | sort -nr | head -n 10

Next time we will be using some GEOIP methods to see where our top attack attempts are originating.